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Full Stack Java Developer + AWS + DevOps + Spring AI | Fixed Fee Transparent Career Program | 100% Placement Guaranteed* (6 Months Fees Refund*)
JFSC • Full Stack Development
Duration & Live Format: 32w (480h) • 15h/wk (504h • Weekday & Weekend Batches)
🔒 100% Fixed Tuition: Zero bargaining or quality compromise on Senior Architect trainers & live labs.
🛡️ 6-Month Guarantee*: 100 Job Openings After ≥90% Mastery Gate or 100% Net Tuition Refund*.
Our counselor shares live demo link & issues your Student Portal ID to track every topic transparently.
Complete all assigned topic tasks, coding assignments, 14 real GitHub module repositories (no dummy apps), and ≥85% live session attendance.
Achieve at least 90% in every Topic Mock Test & Spoken Gemini AI Interview. Scored less than 90%? Re-attempt unlimited times free until you cross 90%!
Post-graduation, our Placement Cell offers 100+ curated relevant IT job openings within 6 months. If we fail to offer 100 openings in 6 months, receive a 100% net tuition fee refund*.
* Transparent Legal Summary: Our Placement Guarantee commits to curating and offering at least 100 relevant IT job openings within 180 days of verified graduation (or until you receive an employment offer, whichever is earlier). Candidates must submit original non-plagiarized repositories, clear scheduled fees on time, apply within 48h, and attend 100% of scheduled employer interviews without no-shows. Net tuition refund excludes statutory GST & payment gateway charges as detailed in our Placement Guarantee Policy.
This 32-Week (480-Hour, 15h/wk) Flagship Career Program transforms you into an enterprise-ready Full Stack Java + Spring AI + React 19 + AWS + DevOps Engineer — backed by our 100% Placement Guarantee* (100 curated IT job openings in 6 months or 100% tuition fee refund*).
Designed for final-year graduates, career switchers, and junior developers — starts from Java 21 fundamentals and builds 14 real GitHub repositories up to AWS EKS & Spring AI.
Core Industry Skill Pillars You Will Master (In Bullet Form + Exact Purpose):
For What Purpose: Crack Round-1 DSA tests and build high-concurrency ACID + AI-vector data foundations.
For What Purpose: Ship secure, zero-N+1 enterprise REST APIs trusted by global banks and SaaS leaders.
For What Purpose: Embed grounded Generative AI copilots directly inside Java enterprise microservices.
For What Purpose: Own the complete frontend-to-backend feature lifecycle as a 360° Full Stack Engineer.
For What Purpose: Handle high-throughput distributed transactions without single points of failure.
For What Purpose: Deploy and monitor production microservice clusters with automated DevSecOps pipelines.
For What Purpose: JUnit 5 + Testcontainers + React Testing Library + ≥90% Topic Mock & Spoken AI Viva Mastery Gate — ensuring your code never breaks silently when real users hit edge cases.
For What Purpose: Verify every single Java Full Stack Development & Enterprise Cloud Architecture topic through timed MCQ exams and spoken technical interviews before deploying your Live Client Project.
Live trainer-guided cohorts with 100% transparent topic-by-topic tracking.
Java Full Stack Development & Enterprise Cloud Architecture — Weekday Career Intensive (15h/wk)
Mon - Fri (15h/wk Career Intensive) • 07:00 PM - 10:00 PM IST (3.0 Hrs/Day)
Starts: 06 Nov 2026
Java Full Stack Development & Enterprise Cloud Architecture — Weekend Working-Pro Cohort (15h/wk)
Sat - Sun + Wed PR Clinic (15h/wk) • 10:00 AM - 03:30 PM IST (Sat & Sun)
Starts: 09 Nov 2026
Every student who completes training modules and deploys the end-of-course Live Client Production Project receives both a scannable Barcode Certificate AND an Official Project Internship Confirmation Letter detailing exact engineering contributions.
Inspect Live Sample Certificate & Internship Letter →Only enrolled students can log in to inspect batch timing, assigned tasks, content covered & pending, unlimited Mock Tests & Voice AI Interviews, projects assigned to batch & status, batch group chat, and daily recorded class videos.
Full-lifecycle mastery: Java 21 LTS, Spring Boot 3.3, Spring Security 6 OAuth2, Hibernate/PostgreSQL, and React 19 + TypeScript 5.
Enterprise AI integration using Spring AI, RAG pipelines, and PostgreSQL `pgvector` semantic search inside Java microservices.
Distributed scale with Apache Kafka event sagas, Redis 7 caching, Resilience4j fault tolerance, and OpenTelemetry observability.
Cloud-native delivery on AWS (VPC, ALB, RDS, S3, EKS), Docker, Kubernetes, Terraform IaC, and GitHub Actions CI/CD.
JUnit 5 + Testcontainers + React Testing Library + ≥90% Topic Mock & Spoken AI Viva Mastery Gate
Real multi-service GitHub repositories (zero dummy apps) deployed to AWS/Kubernetes with full observability.
Surface-level slide theory — 100% of modules build recruiter-auditable production repositories.
3.0 Hours / Day (90 Mins Live Architecture + 90 Mins Supervised Real-Repo Coding)
Days: Monday to Friday (5 Live Sessions / Week • 15h/wk Total)
Slots: Morning: 08:00 AM – 11:00 AM IST • Evening: 07:00 PM – 10:00 PM IST
5.0 Hours Sat & Sun Live + 5.0 Hours Guided Real-Repository Sprint
Days: Saturday & Sunday Live + Mid-Week Mentor PR Review (15h/wk Total)
Slots: Sat & Sun: 10:00 AM – 03:30 PM IST (with break) + Wed 08:30 PM PR Clinic
100% Live Interactive Format: Live instructor coding, screen-share debugging, daily lab assignments, and HD session recordings inside your Student Portal.
After completing 10+ progressive hands-on module projects during live classes, students join our mentor-led Client Production Sprint to build, test, and deploy "FinCore Enterprise Multi-Tenant Banking, Spring AI Copilot & Kafka Settlement Platform" to live cloud production — earning an Official Verified Internship Letter detailing their exact technical contributions.
🚀 Real Client Production Sprint + Internship Letter
Client / Domain: BFSI, Enterprise Cloud Banking & AI Operations Client • Production Infra: Java 21 + Spring Boot 3.3 + Spring AI pgvector + React 19 TS + Kafka + AWS EKS
What Your Official Internship Confirmation Letter Certifies You Built & Deployed:
Click any module or topic below to expand its learning objectives, plain-language overview, real-world purpose, hands-on code, lab tasks, 50-MCQ mocks, Gemini AI interviews, and capstone project.
Module Learning & Hands-On Objectives
💡 Self-Explanatory Overview: In simple, everyday terms, JVM ClassLoader, Stack vs Heap, G1/ZGC & Escape Analysis teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications write low-GC enterprise Java services that never crash under peak production load. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply JVM ClassLoader, Stack vs Heap, G1/ZGC & Escape Analysis in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Write low-GC enterprise Java services that never crash under peak production load, so your code stays reliable, fast, and easy to maintain in production.
What Is JVM ClassLoader, Stack vs Heap, G1/ZGC & Escape Analysis & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master JVM ClassLoader, Stack vs Heap, G1/ZGC & Escape Analysis for a concrete production goal: Write low-GC enterprise Java services that never crash under peak production load. Every session pairs live architecture walkthroughs with...
Repository Assignment: JVM ClassLoader, Stack vs Heap, G1/ZGC & Escape Analysis
Implement and verify JVM ClassLoader, Stack vs Heap, G1/ZGC & Escape Analysis (Write low-GC enterprise Java services that never crash under peak production load.) inside your cohort GitHub repository...
Supervised Live Lab Task: JVM ClassLoader, Stack vs Heap, G1/ZGC & Escape Analysis
// JVM ClassLoader, Stack vs Heap, G1/ZGC & Escape Analysis
// Purpose: Write low-GC enterprise Java services that never crash under peak production load.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, Records, Sealed Hierarchies, Pattern Matching & Generics teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications model strict, immutable domain contracts for banking and SaaS microservices. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Records, Sealed Hierarchies, Pattern Matching & Generics in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Model strict, immutable domain contracts for banking and SaaS microservices, so your code stays reliable, fast, and easy to maintain in production.
What Is Records, Sealed Hierarchies, Pattern Matching & Generics & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Records, Sealed Hierarchies, Pattern Matching & Generics for a concrete production goal: Model strict, immutable domain contracts for banking and SaaS microservices. Every session pairs live architecture walkthroughs with real G...
Repository Assignment: Records, Sealed Hierarchies, Pattern Matching & Generics
Implement and verify Records, Sealed Hierarchies, Pattern Matching & Generics (Model strict, immutable domain contracts for banking and SaaS microservices.) inside your cohort GitHub repository with u...
Supervised Live Lab Task: Records, Sealed Hierarchies, Pattern Matching & Generics
// Records, Sealed Hierarchies, Pattern Matching & Generics
// Purpose: Model strict, immutable domain contracts for banking and SaaS microservices.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, Streams API, CompletableFuture & Project Loom Virtual Threads teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications handle 50,000+ concurrent blocking I/O requests cleanly without thread-pool exhaustion. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Streams API, CompletableFuture & Project Loom Virtual Threads in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Handle 50,000+ concurrent blocking I/O requests cleanly without thread-pool exhaustion, so your code stays reliable, fast, and easy to maintain in production.
What Is Streams API, CompletableFuture & Project Loom Virtual Threads & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Streams API, CompletableFuture & Project Loom Virtual Threads for a concrete production goal: Handle 50,000+ concurrent blocking I/O requests cleanly without thread-pool exhaustion. Every session pairs live architecture wal...
Repository Assignment: Streams API, CompletableFuture & Project Loom Virtual Threads
Implement and verify Streams API, CompletableFuture & Project Loom Virtual Threads (Handle 50,000+ concurrent blocking I/O requests cleanly without thread-pool exhaustion.) inside your cohort GitHub r...
Supervised Live Lab Task: Streams API, CompletableFuture & Project Loom Virtual Threads
// Streams API, CompletableFuture & Project Loom Virtual Threads
// Purpose: Handle 50,000+ concurrent blocking I/O requests cleanly without thread-pool exhaustion.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}Architect, implement, test, and push the production GitHub repository 'Multi-Threaded Ledger Engine & JVM Memory Profiler Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 1: Java 21 LTS Core, Memory Model & Functional Concurrency.
Module Learning & Hands-On Objectives
💡 Self-Explanatory Overview: In simple, everyday terms, Arrays, Sliding Window, Binary Search & Hashing Internals teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications clear product-company OA rounds and optimize hot lookup paths from O(N²) to O(N). Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Arrays, Sliding Window, Binary Search & Hashing Internals in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Clear product-company OA rounds and optimize hot lookup paths from O(N²) to O(N), so your code stays reliable, fast, and easy to maintain in production.
What Is Arrays, Sliding Window, Binary Search & Hashing Internals & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Arrays, Sliding Window, Binary Search & Hashing Internals for a concrete production goal: Clear product-company OA rounds and optimize hot lookup paths from O(N²) to O(N). Every session pairs live architecture walkthroughs with...
Repository Assignment: Arrays, Sliding Window, Binary Search & Hashing Internals
Implement and verify Arrays, Sliding Window, Binary Search & Hashing Internals (Clear product-company OA rounds and optimize hot lookup paths from O(N²) to O(N).) inside your cohort GitHub repository...
Supervised Live Lab Task: Arrays, Sliding Window, Binary Search & Hashing Internals
// Arrays, Sliding Window, Binary Search & Hashing Internals
// Purpose: Clear product-company OA rounds and optimize hot lookup paths from O(N²) to O(N).
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, Trees, Heaps, PriorityQueues & Trie Prefix Indexing teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications implement real-time job schedulers, top-K leaderboards, and instant search autocomplete. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Trees, Heaps, PriorityQueues & Trie Prefix Indexing in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Implement real-time job schedulers, top-K leaderboards, and instant search autocomplete, so your code stays reliable, fast, and easy to maintain in production.
What Is Trees, Heaps, PriorityQueues & Trie Prefix Indexing & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Trees, Heaps, PriorityQueues & Trie Prefix Indexing for a concrete production goal: Implement real-time job schedulers, top-K leaderboards, and instant search autocomplete. Every session pairs live architecture walkthroughs with real...
Repository Assignment: Trees, Heaps, PriorityQueues & Trie Prefix Indexing
Implement and verify Trees, Heaps, PriorityQueues & Trie Prefix Indexing (Implement real-time job schedulers, top-K leaderboards, and instant search autocomplete.) inside your cohort GitHub repository...
Supervised Live Lab Task: Trees, Heaps, PriorityQueues & Trie Prefix Indexing
// Trees, Heaps, PriorityQueues & Trie Prefix Indexing
// Purpose: Implement real-time job schedulers, top-K leaderboards, and instant search autocomplete.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, Graphs (BFS/DFS/Dijkstra) & Dynamic Programming Patterns teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications solve dependency resolution, shortest-path routing, and resource-allocation problems. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Graphs (BFS/DFS/Dijkstra) & Dynamic Programming Patterns in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Solve dependency resolution, shortest-path routing, and resource-allocation problems, so your code stays reliable, fast, and easy to maintain in production.
What Is Graphs (BFS/DFS/Dijkstra) & Dynamic Programming Patterns & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Graphs (BFS/DFS/Dijkstra) & Dynamic Programming Patterns for a concrete production goal: Solve dependency resolution, shortest-path routing, and resource-allocation problems. Every session pairs live architecture walkthroughs wi...
Repository Assignment: Graphs (BFS/DFS/Dijkstra) & Dynamic Programming Patterns
Implement and verify Graphs (BFS/DFS/Dijkstra) & Dynamic Programming Patterns (Solve dependency resolution, shortest-path routing, and resource-allocation problems.) inside your cohort GitHub reposito...
Supervised Live Lab Task: Graphs (BFS/DFS/Dijkstra) & Dynamic Programming Patterns
// Graphs (BFS/DFS/Dijkstra) & Dynamic Programming Patterns
// Purpose: Solve dependency resolution, shortest-path routing, and resource-allocation problems.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}Architect, implement, test, and push the production GitHub repository 'High-Frequency Order-Book & Graph Routing Engine Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 2: Data Structures, Algorithms & Problem-Solving in Java.
Module Learning & Hands-On Objectives
💡 Self-Explanatory Overview: In simple, everyday terms, Normalized Schema Design, CTEs, Window Functions & JSONB teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications author analytical financial queries and hybrid relational-document data models. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Normalized Schema Design, CTEs, Window Functions & JSONB in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Author analytical financial queries and hybrid relational-document data models, so your code stays reliable, fast, and easy to maintain in production.
What Is Normalized Schema Design, CTEs, Window Functions & JSONB & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Normalized Schema Design, CTEs, Window Functions & JSONB for a concrete production goal: Author analytical financial queries and hybrid relational-document data models. Every session pairs live architecture walkthroughs with rea...
Repository Assignment: Normalized Schema Design, CTEs, Window Functions & JSONB
Implement and verify Normalized Schema Design, CTEs, Window Functions & JSONB (Author analytical financial queries and hybrid relational-document data models.) inside your cohort GitHub repository wit...
Supervised Live Lab Task: Normalized Schema Design, CTEs, Window Functions & JSONB
// Normalized Schema Design, CTEs, Window Functions & JSONB
// Purpose: Author analytical financial queries and hybrid relational-document data models.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, MVCC Isolation, B-Tree/GIN Indexes & EXPLAIN ANALYZE Tuning teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications eliminate deadlocks and tune slow 800ms SQL queries down to sub-8ms index scans. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply MVCC Isolation, B-Tree/GIN Indexes & EXPLAIN ANALYZE Tuning in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Eliminate deadlocks and tune slow 800ms SQL queries down to sub-8ms index scans, so your code stays reliable, fast, and easy to maintain in production.
What Is MVCC Isolation, B-Tree/GIN Indexes & EXPLAIN ANALYZE Tuning & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master MVCC Isolation, B-Tree/GIN Indexes & EXPLAIN ANALYZE Tuning for a concrete production goal: Eliminate deadlocks and tune slow 800ms SQL queries down to sub-8ms index scans. Every session pairs live architecture walkthroughs w...
Repository Assignment: MVCC Isolation, B-Tree/GIN Indexes & EXPLAIN ANALYZE Tuning
Implement and verify MVCC Isolation, B-Tree/GIN Indexes & EXPLAIN ANALYZE Tuning (Eliminate deadlocks and tune slow 800ms SQL queries down to sub-8ms index scans.) inside your cohort GitHub repository...
Supervised Live Lab Task: MVCC Isolation, B-Tree/GIN Indexes & EXPLAIN ANALYZE Tuning
// MVCC Isolation, B-Tree/GIN Indexes & EXPLAIN ANALYZE Tuning
// Purpose: Eliminate deadlocks and tune slow 800ms SQL queries down to sub-8ms index scans.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, PostgreSQL pgvector Embeddings, HNSW Indexes & Flyway Migrations teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications store semantic AI vectors alongside transactional SQL tables with versioned migrations. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply PostgreSQL pgvector Embeddings, HNSW Indexes & Flyway Migrations in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Store semantic AI vectors alongside transactional SQL tables with versioned migrations, so your code stays reliable, fast, and easy to maintain in production.
What Is PostgreSQL pgvector Embeddings, HNSW Indexes & Flyway Migrations & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master PostgreSQL pgvector Embeddings, HNSW Indexes & Flyway Migrations for a concrete production goal: Store semantic AI vectors alongside transactional SQL tables with versioned migrations. Every session pairs live architectu...
Repository Assignment: PostgreSQL pgvector Embeddings, HNSW Indexes & Flyway Migrations
Implement and verify PostgreSQL pgvector Embeddings, HNSW Indexes & Flyway Migrations (Store semantic AI vectors alongside transactional SQL tables with versioned migrations.) inside your cohort GitHu...
Supervised Live Lab Task: PostgreSQL pgvector Embeddings, HNSW Indexes & Flyway Migrations
// PostgreSQL pgvector Embeddings, HNSW Indexes & Flyway Migrations
// Purpose: Store semantic AI vectors alongside transactional SQL tables with versioned migrations.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}Architect, implement, test, and push the production GitHub repository 'Multi-Tenant ACID Banking Schema & pgvector Hybrid Store Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 3: PostgreSQL 16 Architecture, SQL Indexing & Vector Storage.
Module Learning & Hands-On Objectives
💡 Self-Explanatory Overview: In simple, everyday terms, IoC Container, Bean Scopes, CGLIB Proxies & Profiles teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications master how Spring wires enterprise applications and avoid proxy self-invocation bugs. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply IoC Container, Bean Scopes, CGLIB Proxies & Profiles in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Master how Spring wires enterprise applications and avoid proxy self-invocation bugs, so your code stays reliable, fast, and easy to maintain in production.
What Is IoC Container, Bean Scopes, CGLIB Proxies & Profiles & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master IoC Container, Bean Scopes, CGLIB Proxies & Profiles for a concrete production goal: Master how Spring wires enterprise applications and avoid proxy self-invocation bugs. Every session pairs live architecture walkthroughs with real...
Repository Assignment: IoC Container, Bean Scopes, CGLIB Proxies & Profiles
Implement and verify IoC Container, Bean Scopes, CGLIB Proxies & Profiles (Master how Spring wires enterprise applications and avoid proxy self-invocation bugs.) inside your cohort GitHub repository w...
Supervised Live Lab Task: IoC Container, Bean Scopes, CGLIB Proxies & Profiles
// IoC Container, Bean Scopes, CGLIB Proxies & Profiles
// Purpose: Master how Spring wires enterprise applications and avoid proxy self-invocation bugs.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, RESTful Controllers, Bean Validation, ProblemDetails & OpenAPI 3.1 teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications build self-documented, contract-tested JSON APIs with RFC-7807 error responses. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply RESTful Controllers, Bean Validation, ProblemDetails & OpenAPI 3.1 in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Build self-documented, contract-tested JSON APIs with RFC-7807 error responses, so your code stays reliable, fast, and easy to maintain in production.
What Is RESTful Controllers, Bean Validation, ProblemDetails & OpenAPI 3.1 & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master RESTful Controllers, Bean Validation, ProblemDetails & OpenAPI 3.1 for a concrete production goal: Build self-documented, contract-tested JSON APIs with RFC-7807 error responses. Every session pairs live architecture w...
Repository Assignment: RESTful Controllers, Bean Validation, ProblemDetails & OpenAPI 3.1
Implement and verify RESTful Controllers, Bean Validation, ProblemDetails & OpenAPI 3.1 (Build self-documented, contract-tested JSON APIs with RFC-7807 error responses.) inside your cohort GitHub repo...
Supervised Live Lab Task: RESTful Controllers, Bean Validation, ProblemDetails & OpenAPI 3.1
// RESTful Controllers, Bean Validation, ProblemDetails & OpenAPI 3.1
// Purpose: Build self-documented, contract-tested JSON APIs with RFC-7807 error responses.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, Spring Actuator, Micrometer Metrics & Structured Logging teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications expose liveness/readiness probes and latency histograms for production monitoring. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Spring Actuator, Micrometer Metrics & Structured Logging in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Expose liveness/readiness probes and latency histograms for production monitoring, so your code stays reliable, fast, and easy to maintain in production.
What Is Spring Actuator, Micrometer Metrics & Structured Logging & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Spring Actuator, Micrometer Metrics & Structured Logging for a concrete production goal: Expose liveness/readiness probes and latency histograms for production monitoring. Every session pairs live architecture walkthroughs with...
Repository Assignment: Spring Actuator, Micrometer Metrics & Structured Logging
Implement and verify Spring Actuator, Micrometer Metrics & Structured Logging (Expose liveness/readiness probes and latency histograms for production monitoring.) inside your cohort GitHub repository...
Supervised Live Lab Task: Spring Actuator, Micrometer Metrics & Structured Logging
// Spring Actuator, Micrometer Metrics & Structured Logging
// Purpose: Expose liveness/readiness probes and latency histograms for production monitoring.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}Architect, implement, test, and push the production GitHub repository 'Clean-Architecture Spring Boot 3.3 Catalog & Billing API Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 4: Spring Core, Spring Boot 3.3 Auto-Configuration & REST APIs.
Module Learning & Hands-On Objectives
💡 Self-Explanatory Overview: In simple, everyday terms, Entity Lifecycle, Dirty Checking, Fetch Joins & N+1 Elimination teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications prevent hidden Hibernate N+1 query storms that cripple production databases. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Entity Lifecycle, Dirty Checking, Fetch Joins & N+1 Elimination in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Prevent hidden Hibernate N+1 query storms that cripple production databases, so your code stays reliable, fast, and easy to maintain in production.
What Is Entity Lifecycle, Dirty Checking, Fetch Joins & N+1 Elimination & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Entity Lifecycle, Dirty Checking, Fetch Joins & N+1 Elimination for a concrete production goal: Prevent hidden Hibernate N+1 query storms that cripple production databases. Every session pairs live architecture walkthroug...
Repository Assignment: Entity Lifecycle, Dirty Checking, Fetch Joins & N+1 Elimination
Implement and verify Entity Lifecycle, Dirty Checking, Fetch Joins & N+1 Elimination (Prevent hidden Hibernate N+1 query storms that cripple production databases.) inside your cohort GitHub repository...
Supervised Live Lab Task: Entity Lifecycle, Dirty Checking, Fetch Joins & N+1 Elimination
// Entity Lifecycle, Dirty Checking, Fetch Joins & N+1 Elimination
// Purpose: Prevent hidden Hibernate N+1 query storms that cripple production databases.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, @Transactional Propagation, Optimistic/Pessimistic Locking & HikariCP teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications prevent double-debit race conditions during simultaneous wallet transfers. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply @Transactional Propagation, Optimistic/Pessimistic Locking & HikariCP in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Prevent double-debit race conditions during simultaneous wallet transfers, so your code stays reliable, fast, and easy to maintain in production.
What Is @Transactional Propagation, Optimistic/Pessimistic Locking & HikariCP & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master @Transactional Propagation, Optimistic/Pessimistic Locking & HikariCP for a concrete production goal: Prevent double-debit race conditions during simultaneous wallet transfers. Every session pairs live architecture...
Repository Assignment: @Transactional Propagation, Optimistic/Pessimistic Locking & HikariCP
Implement and verify @Transactional Propagation, Optimistic/Pessimistic Locking & HikariCP (Prevent double-debit race conditions during simultaneous wallet transfers.) inside your cohort GitHub reposi...
Supervised Live Lab Task: @Transactional Propagation, Optimistic/Pessimistic Locking & HikariCP
// @Transactional Propagation, Optimistic/Pessimistic Locking & HikariCP
// Purpose: Prevent double-debit race conditions during simultaneous wallet transfers.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, Transactional Outbox Pattern & Testcontainers PostgreSQL Suites teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications verify real database queries in CI using ephemeral Dockerized PostgreSQL containers. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Transactional Outbox Pattern & Testcontainers PostgreSQL Suites in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Verify real database queries in CI using ephemeral Dockerized PostgreSQL containers, so your code stays reliable, fast, and easy to maintain in production.
What Is Transactional Outbox Pattern & Testcontainers PostgreSQL Suites & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Transactional Outbox Pattern & Testcontainers PostgreSQL Suites for a concrete production goal: Verify real database queries in CI using ephemeral Dockerized PostgreSQL containers. Every session pairs live architecture wa...
Repository Assignment: Transactional Outbox Pattern & Testcontainers PostgreSQL Suites
Implement and verify Transactional Outbox Pattern & Testcontainers PostgreSQL Suites (Verify real database queries in CI using ephemeral Dockerized PostgreSQL containers.) inside your cohort GitHub re...
Supervised Live Lab Task: Transactional Outbox Pattern & Testcontainers PostgreSQL Suites
// Transactional Outbox Pattern & Testcontainers PostgreSQL Suites
// Purpose: Verify real database queries in CI using ephemeral Dockerized PostgreSQL containers.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}Architect, implement, test, and push the production GitHub repository 'Idempotent Payment Ledger & Outbox Persistence Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 5: Spring Data JPA, Hibernate 6 Internals & Transaction Integrity.
Module Learning & Hands-On Objectives
💡 Self-Explanatory Overview: In simple, everyday terms, SecurityFilterChain, Argon2 Hashing & Rotating JWT Refresh Tokens teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications protect stateless APIs and browser SPAs against token theft, XSS, and CSRF. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply SecurityFilterChain, Argon2 Hashing & Rotating JWT Refresh Tokens in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Protect stateless APIs and browser SPAs against token theft, XSS, and CSRF, so your code stays reliable, fast, and easy to maintain in production.
What Is SecurityFilterChain, Argon2 Hashing & Rotating JWT Refresh Tokens & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master SecurityFilterChain, Argon2 Hashing & Rotating JWT Refresh Tokens for a concrete production goal: Protect stateless APIs and browser SPAs against token theft, XSS, and CSRF. Every session pairs live architecture walkthr...
Repository Assignment: SecurityFilterChain, Argon2 Hashing & Rotating JWT Refresh Tokens
Implement and verify SecurityFilterChain, Argon2 Hashing & Rotating JWT Refresh Tokens (Protect stateless APIs and browser SPAs against token theft, XSS, and CSRF.) inside your cohort GitHub repositor...
Supervised Live Lab Task: SecurityFilterChain, Argon2 Hashing & Rotating JWT Refresh Tokens
// SecurityFilterChain, Argon2 Hashing & Rotating JWT Refresh Tokens
// Purpose: Protect stateless APIs and browser SPAs against token theft, XSS, and CSRF.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, OAuth2 / OIDC Resource Servers, Method RBAC & Multi-Tenant Guards teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications enforce fine-grained tenant and role permissions across enterprise endpoints. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply OAuth2 / OIDC Resource Servers, Method RBAC & Multi-Tenant Guards in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Enforce fine-grained tenant and role permissions across enterprise endpoints, so your code stays reliable, fast, and easy to maintain in production.
What Is OAuth2 / OIDC Resource Servers, Method RBAC & Multi-Tenant Guards & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master OAuth2 / OIDC Resource Servers, Method RBAC & Multi-Tenant Guards for a concrete production goal: Enforce fine-grained tenant and role permissions across enterprise endpoints. Every session pairs live architecture walkt...
Repository Assignment: OAuth2 / OIDC Resource Servers, Method RBAC & Multi-Tenant Guards
Implement and verify OAuth2 / OIDC Resource Servers, Method RBAC & Multi-Tenant Guards (Enforce fine-grained tenant and role permissions across enterprise endpoints.) inside your cohort GitHub reposit...
Supervised Live Lab Task: OAuth2 / OIDC Resource Servers, Method RBAC & Multi-Tenant Guards
// OAuth2 / OIDC Resource Servers, Method RBAC & Multi-Tenant Guards
// Purpose: Enforce fine-grained tenant and role permissions across enterprise endpoints.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, OWASP API Top-10 Hardening & Redis Sliding-Window Rate Limiting teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications block credential stuffing, broken object-level auth (BOLA), and abusive traffic spikes. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply OWASP API Top-10 Hardening & Redis Sliding-Window Rate Limiting in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Block credential stuffing, broken object-level auth (BOLA), and abusive traffic spikes, so your code stays reliable, fast, and easy to maintain in production.
What Is OWASP API Top-10 Hardening & Redis Sliding-Window Rate Limiting & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master OWASP API Top-10 Hardening & Redis Sliding-Window Rate Limiting for a concrete production goal: Block credential stuffing, broken object-level auth (BOLA), and abusive traffic spikes. Every session pairs live architecture...
Repository Assignment: OWASP API Top-10 Hardening & Redis Sliding-Window Rate Limiting
Implement and verify OWASP API Top-10 Hardening & Redis Sliding-Window Rate Limiting (Block credential stuffing, broken object-level auth (BOLA), and abusive traffic spikes.) inside your cohort GitHub...
Supervised Live Lab Task: OWASP API Top-10 Hardening & Redis Sliding-Window Rate Limiting
// OWASP API Top-10 Hardening & Redis Sliding-Window Rate Limiting
// Purpose: Block credential stuffing, broken object-level auth (BOLA), and abusive traffic spikes.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}Architect, implement, test, and push the production GitHub repository 'Enterprise OAuth2 Resource Server & RBAC Identity Gateway Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 6: Spring Security 6, OAuth2 / OIDC & Zero-Trust API Defense.
Module Learning & Hands-On Objectives
💡 Self-Explanatory Overview: In simple, everyday terms, Strict TypeScript 5 Generics, Discriminated Unions & Zod Schemas teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications catch API contract mismatches at compile time before UI code ever reaches production. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Strict TypeScript 5 Generics, Discriminated Unions & Zod Schemas in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Catch API contract mismatches at compile time before UI code ever reaches production, so your code stays reliable, fast, and easy to maintain in production.
What Is Strict TypeScript 5 Generics, Discriminated Unions & Zod Schemas & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Strict TypeScript 5 Generics, Discriminated Unions & Zod Schemas for a concrete production goal: Catch API contract mismatches at compile time before UI code ever reaches production. Every session pairs live architecture...
Repository Assignment: Strict TypeScript 5 Generics, Discriminated Unions & Zod Schemas
Implement and verify Strict TypeScript 5 Generics, Discriminated Unions & Zod Schemas (Catch API contract mismatches at compile time before UI code ever reaches production.) inside your cohort GitHub...
Supervised Live Lab Task: Strict TypeScript 5 Generics, Discriminated Unions & Zod Schemas
// Strict TypeScript 5 Generics, Discriminated Unions & Zod Schemas
// Purpose: Catch API contract mismatches at compile time before UI code ever reaches production.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, React 19 Hooks, Server/Optimistic Actions, TanStack Query & Routing teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications build snappy, accessible dashboards with instant cache invalidation and role guards. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply React 19 Hooks, Server/Optimistic Actions, TanStack Query & Routing in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Build snappy, accessible dashboards with instant cache invalidation and role guards, so your code stays reliable, fast, and easy to maintain in production.
What Is React 19 Hooks, Server/Optimistic Actions, TanStack Query & Routing & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master React 19 Hooks, Server/Optimistic Actions, TanStack Query & Routing for a concrete production goal: Build snappy, accessible dashboards with instant cache invalidation and role guards. Every session pairs live archite...
Repository Assignment: React 19 Hooks, Server/Optimistic Actions, TanStack Query & Routing
Implement and verify React 19 Hooks, Server/Optimistic Actions, TanStack Query & Routing (Build snappy, accessible dashboards with instant cache invalidation and role guards.) inside your cohort GitHu...
Supervised Live Lab Task: React 19 Hooks, Server/Optimistic Actions, TanStack Query & Routing
// React 19 Hooks, Server/Optimistic Actions, TanStack Query & Routing
// Purpose: Build snappy, accessible dashboards with instant cache invalidation and role guards.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, Real-Time SSE / WebSocket Streams, Virtualized Tables & Vitest UI Tests teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications stream live AI tokens and 100k-row audit logs smoothly at 60fps. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Real-Time SSE / WebSocket Streams, Virtualized Tables & Vitest UI Tests in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Stream live AI tokens and 100k-row audit logs smoothly at 60fps, so your code stays reliable, fast, and easy to maintain in production.
What Is Real-Time SSE / WebSocket Streams, Virtualized Tables & Vitest UI Tests & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Real-Time SSE / WebSocket Streams, Virtualized Tables & Vitest UI Tests for a concrete production goal: Stream live AI tokens and 100k-row audit logs smoothly at 60fps. Every session pairs live architecture walkth...
Repository Assignment: Real-Time SSE / WebSocket Streams, Virtualized Tables & Vitest UI Tests
Implement and verify Real-Time SSE / WebSocket Streams, Virtualized Tables & Vitest UI Tests (Stream live AI tokens and 100k-row audit logs smoothly at 60fps.) inside your cohort GitHub repository wit...
Supervised Live Lab Task: Real-Time SSE / WebSocket Streams, Virtualized Tables & Vitest UI Tests
// Real-Time SSE / WebSocket Streams, Virtualized Tables & Vitest UI Tests
// Purpose: Stream live AI tokens and 100k-row audit logs smoothly at 60fps.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}Architect, implement, test, and push the production GitHub repository 'Enterprise TypeScript Design System & Operator Console Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 7: Modern Frontend Engineering with React 19 & TypeScript 5.
Module Learning & Hands-On Objectives
💡 Self-Explanatory Overview: In simple, everyday terms, Spring AI ChatClient, Prompt Templates, Advisors & Structured Outputs teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications integrate LLMs cleanly into Java microservices with strongly typed Java Record outputs. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Spring AI ChatClient, Prompt Templates, Advisors & Structured Outputs in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Integrate LLMs cleanly into Java microservices with strongly typed Java Record outputs, so your code stays reliable, fast, and easy to maintain in production.
What Is Spring AI ChatClient, Prompt Templates, Advisors & Structured Outputs & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Spring AI ChatClient, Prompt Templates, Advisors & Structured Outputs for a concrete production goal: Integrate LLMs cleanly into Java microservices with strongly typed Java Record outputs. Every session pairs live...
Repository Assignment: Spring AI ChatClient, Prompt Templates, Advisors & Structured Outputs
Implement and verify Spring AI ChatClient, Prompt Templates, Advisors & Structured Outputs (Integrate LLMs cleanly into Java microservices with strongly typed Java Record outputs.) inside your cohort...
Supervised Live Lab Task: Spring AI ChatClient, Prompt Templates, Advisors & Structured Outputs
// Spring AI ChatClient, Prompt Templates, Advisors & Structured Outputs
// Purpose: Integrate LLMs cleanly into Java microservices with strongly typed Java Record outputs.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, Document ETL, Chunking, pgvector Hybrid Search & Citation Grounding teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications build enterprise RAG copilots that answer strictly from verified company documents. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Document ETL, Chunking, pgvector Hybrid Search & Citation Grounding in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Build enterprise RAG copilots that answer strictly from verified company documents, so your code stays reliable, fast, and easy to maintain in production.
What Is Document ETL, Chunking, pgvector Hybrid Search & Citation Grounding & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Document ETL, Chunking, pgvector Hybrid Search & Citation Grounding for a concrete production goal: Build enterprise RAG copilots that answer strictly from verified company documents. Every session pairs live architec...
Repository Assignment: Document ETL, Chunking, pgvector Hybrid Search & Citation Grounding
Implement and verify Document ETL, Chunking, pgvector Hybrid Search & Citation Grounding (Build enterprise RAG copilots that answer strictly from verified company documents.) inside your cohort GitHub...
Supervised Live Lab Task: Document ETL, Chunking, pgvector Hybrid Search & Citation Grounding
// Document ETL, Chunking, pgvector Hybrid Search & Citation Grounding
// Purpose: Build enterprise RAG copilots that answer strictly from verified company documents.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, Spring AI Function/Tool Calling, Guardrails & Automated Faithfulness Evals teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications let Java AI agents invoke audited Spring services safely without prompt-injection leaks. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Spring AI Function/Tool Calling, Guardrails & Automated Faithfulness Evals in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Let Java AI agents invoke audited Spring services safely without prompt-injection leaks, so your code stays reliable, fast, and easy to maintain in production.
What Is Spring AI Function/Tool Calling, Guardrails & Automated Faithfulness Evals & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Spring AI Function/Tool Calling, Guardrails & Automated Faithfulness Evals for a concrete production goal: Let Java AI agents invoke audited Spring services safely without prompt-injection leaks. Every session...
Repository Assignment: Spring AI Function/Tool Calling, Guardrails & Automated Faithfulness Evals
Implement and verify Spring AI Function/Tool Calling, Guardrails & Automated Faithfulness Evals (Let Java AI agents invoke audited Spring services safely without prompt-injection leaks.) inside your c...
Supervised Live Lab Task: Spring AI Function/Tool Calling, Guardrails & Automated Faithfulness Evals
// Spring AI Function/Tool Calling, Guardrails & Automated Faithfulness Evals
// Purpose: Let Java AI agents invoke audited Spring services safely without prompt-injection leaks.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}Architect, implement, test, and push the production GitHub repository 'Spring AI + pgvector Compliance & Code-Review Copilot Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 8: Spring AI, Enterprise RAG Pipelines & Agentic Java Copilots.
Module Learning & Hands-On Objectives
💡 Self-Explanatory Overview: In simple, everyday terms, Domain-Driven Bounded Contexts & Spring Cloud API Gateway Routing teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications decompose monoliths cleanly with centralized auth, routing, and request correlation. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Domain-Driven Bounded Contexts & Spring Cloud API Gateway Routing in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Decompose monoliths cleanly with centralized auth, routing, and request correlation, so your code stays reliable, fast, and easy to maintain in production.
What Is Domain-Driven Bounded Contexts & Spring Cloud API Gateway Routing & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Domain-Driven Bounded Contexts & Spring Cloud API Gateway Routing for a concrete production goal: Decompose monoliths cleanly with centralized auth, routing, and request correlation. Every session pairs live architectur...
Repository Assignment: Domain-Driven Bounded Contexts & Spring Cloud API Gateway Routing
Implement and verify Domain-Driven Bounded Contexts & Spring Cloud API Gateway Routing (Decompose monoliths cleanly with centralized auth, routing, and request correlation.) inside your cohort GitHub...
Supervised Live Lab Task: Domain-Driven Bounded Contexts & Spring Cloud API Gateway Routing
// Domain-Driven Bounded Contexts & Spring Cloud API Gateway Routing
// Purpose: Decompose monoliths cleanly with centralized auth, routing, and request correlation.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, Resilience4j Circuit Breakers, Bulkheads, Timeouts & Jittered Retries teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications stop cascading outages when downstream payment or notification services degrade. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Resilience4j Circuit Breakers, Bulkheads, Timeouts & Jittered Retries in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Stop cascading outages when downstream payment or notification services degrade, so your code stays reliable, fast, and easy to maintain in production.
What Is Resilience4j Circuit Breakers, Bulkheads, Timeouts & Jittered Retries & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Resilience4j Circuit Breakers, Bulkheads, Timeouts & Jittered Retries for a concrete production goal: Stop cascading outages when downstream payment or notification services degrade. Every session pairs live archite...
Repository Assignment: Resilience4j Circuit Breakers, Bulkheads, Timeouts & Jittered Retries
Implement and verify Resilience4j Circuit Breakers, Bulkheads, Timeouts & Jittered Retries (Stop cascading outages when downstream payment or notification services degrade.) inside your cohort GitHub...
Supervised Live Lab Task: Resilience4j Circuit Breakers, Bulkheads, Timeouts & Jittered Retries
// Resilience4j Circuit Breakers, Bulkheads, Timeouts & Jittered Retries
// Purpose: Stop cascading outages when downstream payment or notification services degrade.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}Architect, implement, test, and push the production GitHub repository 'Cloud-Native Spring Cloud Gateway & Fault-Tolerant Mesh Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 9: Distributed Microservices, Resilience4j & API Gateways.
Module Learning & Hands-On Objectives
💡 Self-Explanatory Overview: In simple, everyday terms, Kafka KRaft Partitions, Idempotent Producers, Consumer Groups & DLQs teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications process high-volume asynchronous business events with zero message loss. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Kafka KRaft Partitions, Idempotent Producers, Consumer Groups & DLQs in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Process high-volume asynchronous business events with zero message loss, so your code stays reliable, fast, and easy to maintain in production.
What Is Kafka KRaft Partitions, Idempotent Producers, Consumer Groups & DLQs & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Kafka KRaft Partitions, Idempotent Producers, Consumer Groups & DLQs for a concrete production goal: Process high-volume asynchronous business events with zero message loss. Every session pairs live architecture walk...
Repository Assignment: Kafka KRaft Partitions, Idempotent Producers, Consumer Groups & DLQs
Implement and verify Kafka KRaft Partitions, Idempotent Producers, Consumer Groups & DLQs (Process high-volume asynchronous business events with zero message loss.) inside your cohort GitHub repositor...
Supervised Live Lab Task: Kafka KRaft Partitions, Idempotent Producers, Consumer Groups & DLQs
// Kafka KRaft Partitions, Idempotent Producers, Consumer Groups & DLQs
// Purpose: Process high-volume asynchronous business events with zero message loss.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, Distributed Sagas, Redis 7 Cache-Aside & Distributed Locks teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications cut database read load by 90% and coordinate multi-service distributed workflows. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Distributed Sagas, Redis 7 Cache-Aside & Distributed Locks in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Cut database read load by 90% and coordinate multi-service distributed workflows, so your code stays reliable, fast, and easy to maintain in production.
What Is Distributed Sagas, Redis 7 Cache-Aside & Distributed Locks & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Distributed Sagas, Redis 7 Cache-Aside & Distributed Locks for a concrete production goal: Cut database read load by 90% and coordinate multi-service distributed workflows. Every session pairs live architecture walkthroughs wi...
Repository Assignment: Distributed Sagas, Redis 7 Cache-Aside & Distributed Locks
Implement and verify Distributed Sagas, Redis 7 Cache-Aside & Distributed Locks (Cut database read load by 90% and coordinate multi-service distributed workflows.) inside your cohort GitHub repository...
Supervised Live Lab Task: Distributed Sagas, Redis 7 Cache-Aside & Distributed Locks
// Distributed Sagas, Redis 7 Cache-Aside & Distributed Locks
// Purpose: Cut database read load by 90% and coordinate multi-service distributed workflows.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}Architect, implement, test, and push the production GitHub repository 'Kafka Saga Order-Settlement & Redis Low-Latency Cache Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 10: Event-Driven Architecture with Apache Kafka & Redis 7.
Module Learning & Hands-On Objectives
💡 Self-Explanatory Overview: In simple, everyday terms, Multi-Stage JRE Dockerfiles, Non-Root Hardening & Compose Stacks teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications shrink Spring Boot container images by 65% and run full local microservice topologies. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Multi-Stage JRE Dockerfiles, Non-Root Hardening & Compose Stacks in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Shrink Spring Boot container images by 65% and run full local microservice topologies, so your code stays reliable, fast, and easy to maintain in production.
What Is Multi-Stage JRE Dockerfiles, Non-Root Hardening & Compose Stacks & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Multi-Stage JRE Dockerfiles, Non-Root Hardening & Compose Stacks for a concrete production goal: Shrink Spring Boot container images by 65% and run full local microservice topologies. Every session pairs live architectur...
Repository Assignment: Multi-Stage JRE Dockerfiles, Non-Root Hardening & Compose Stacks
Implement and verify Multi-Stage JRE Dockerfiles, Non-Root Hardening & Compose Stacks (Shrink Spring Boot container images by 65% and run full local microservice topologies.) inside your cohort GitHub...
Supervised Live Lab Task: Multi-Stage JRE Dockerfiles, Non-Root Hardening & Compose Stacks
// Multi-Stage JRE Dockerfiles, Non-Root Hardening & Compose Stacks
// Purpose: Shrink Spring Boot container images by 65% and run full local microservice topologies.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, Kubernetes Deployments, Ingress TLS, ConfigMaps/Secrets, HPA & Probes teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications auto-scale Java pods with zero downtime during traffic surges on Kubernetes. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Kubernetes Deployments, Ingress TLS, ConfigMaps/Secrets, HPA & Probes in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Auto-scale Java pods with zero downtime during traffic surges on Kubernetes, so your code stays reliable, fast, and easy to maintain in production.
What Is Kubernetes Deployments, Ingress TLS, ConfigMaps/Secrets, HPA & Probes & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master Kubernetes Deployments, Ingress TLS, ConfigMaps/Secrets, HPA & Probes for a concrete production goal: Auto-scale Java pods with zero downtime during traffic surges on Kubernetes. Every session pairs live architectur...
Repository Assignment: Kubernetes Deployments, Ingress TLS, ConfigMaps/Secrets, HPA & Probes
Implement and verify Kubernetes Deployments, Ingress TLS, ConfigMaps/Secrets, HPA & Probes (Auto-scale Java pods with zero downtime during traffic surges on Kubernetes.) inside your cohort GitHub repo...
Supervised Live Lab Task: Kubernetes Deployments, Ingress TLS, ConfigMaps/Secrets, HPA & Probes
// Kubernetes Deployments, Ingress TLS, ConfigMaps/Secrets, HPA & Probes
// Purpose: Auto-scale Java pods with zero downtime during traffic surges on Kubernetes.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}Architect, implement, test, and push the production GitHub repository 'Hardened Multi-Stage Java Containers & Helm K8s Manifests Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 11: Docker Containerization & Kubernetes (EKS) Orchestration.
Module Learning & Hands-On Objectives
💡 Self-Explanatory Overview: In simple, everyday terms, AWS Multi-AZ VPC, IAM OIDC Least Privilege, ALB, EC2 & S3/CloudFront teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications architect secure, production-grade cloud networks and edge storage on AWS. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply AWS Multi-AZ VPC, IAM OIDC Least Privilege, ALB, EC2 & S3/CloudFront in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Architect secure, production-grade cloud networks and edge storage on AWS, so your code stays reliable, fast, and easy to maintain in production.
What Is AWS Multi-AZ VPC, IAM OIDC Least Privilege, ALB, EC2 & S3/CloudFront & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master AWS Multi-AZ VPC, IAM OIDC Least Privilege, ALB, EC2 & S3/CloudFront for a concrete production goal: Architect secure, production-grade cloud networks and edge storage on AWS. Every session pairs live architecture wa...
Repository Assignment: AWS Multi-AZ VPC, IAM OIDC Least Privilege, ALB, EC2 & S3/CloudFront
Implement and verify AWS Multi-AZ VPC, IAM OIDC Least Privilege, ALB, EC2 & S3/CloudFront (Architect secure, production-grade cloud networks and edge storage on AWS.) inside your cohort GitHub reposit...
Supervised Live Lab Task: AWS Multi-AZ VPC, IAM OIDC Least Privilege, ALB, EC2 & S3/CloudFront
// AWS Multi-AZ VPC, IAM OIDC Least Privilege, ALB, EC2 & S3/CloudFront
// Purpose: Architect secure, production-grade cloud networks and edge storage on AWS.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, RDS Multi-AZ Failover, KMS Secrets & Modular Terraform State Automation teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications provision repeatable cloud environments via version-controlled Infrastructure as Code. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply RDS Multi-AZ Failover, KMS Secrets & Modular Terraform State Automation in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Provision repeatable cloud environments via version-controlled Infrastructure as Code, so your code stays reliable, fast, and easy to maintain in production.
What Is RDS Multi-AZ Failover, KMS Secrets & Modular Terraform State Automation & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master RDS Multi-AZ Failover, KMS Secrets & Modular Terraform State Automation for a concrete production goal: Provision repeatable cloud environments via version-controlled Infrastructure as Code. Every session pairs li...
Repository Assignment: RDS Multi-AZ Failover, KMS Secrets & Modular Terraform State Automation
Implement and verify RDS Multi-AZ Failover, KMS Secrets & Modular Terraform State Automation (Provision repeatable cloud environments via version-controlled Infrastructure as Code.) inside your cohort...
Supervised Live Lab Task: RDS Multi-AZ Failover, KMS Secrets & Modular Terraform State Automation
// RDS Multi-AZ Failover, KMS Secrets & Modular Terraform State Automation
// Purpose: Provision repeatable cloud environments via version-controlled Infrastructure as Code.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}Architect, implement, test, and push the production GitHub repository 'Terraform AWS Multi-AZ VPC, RDS, S3 & EKS Infrastructure Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 12: AWS Enterprise Cloud Architecture & Terraform IaC.
Module Learning & Hands-On Objectives
💡 Self-Explanatory Overview: In simple, everyday terms, GitHub Actions CI/CD, Trivy/Sonar Gates & Blue-Green Releases teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications automate test, security scan, container build, and zero-downtime cloud deployment. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply GitHub Actions CI/CD, Trivy/Sonar Gates & Blue-Green Releases in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Automate test, security scan, container build, and zero-downtime cloud deployment, so your code stays reliable, fast, and easy to maintain in production.
What Is GitHub Actions CI/CD, Trivy/Sonar Gates & Blue-Green Releases & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master GitHub Actions CI/CD, Trivy/Sonar Gates & Blue-Green Releases for a concrete production goal: Automate test, security scan, container build, and zero-downtime cloud deployment. Every session pairs live architecture walkthro...
Repository Assignment: GitHub Actions CI/CD, Trivy/Sonar Gates & Blue-Green Releases
Implement and verify GitHub Actions CI/CD, Trivy/Sonar Gates & Blue-Green Releases (Automate test, security scan, container build, and zero-downtime cloud deployment.) inside your cohort GitHub reposi...
Supervised Live Lab Task: GitHub Actions CI/CD, Trivy/Sonar Gates & Blue-Green Releases
// GitHub Actions CI/CD, Trivy/Sonar Gates & Blue-Green Releases
// Purpose: Automate test, security scan, container build, and zero-downtime cloud deployment.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, OpenTelemetry Distributed Tracing, Prometheus, Grafana & HLD/LLD Interviews teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications trace cross-service latency bottlenecks and ace Staff/SDE-2 System Design rounds. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply OpenTelemetry Distributed Tracing, Prometheus, Grafana & HLD/LLD Interviews in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Trace cross-service latency bottlenecks and ace Staff/SDE-2 System Design rounds, so your code stays reliable, fast, and easy to maintain in production.
What Is OpenTelemetry Distributed Tracing, Prometheus, Grafana & HLD/LLD Interviews & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master OpenTelemetry Distributed Tracing, Prometheus, Grafana & HLD/LLD Interviews for a concrete production goal: Trace cross-service latency bottlenecks and ace Staff/SDE-2 System Design rounds. Every session pairs...
Repository Assignment: OpenTelemetry Distributed Tracing, Prometheus, Grafana & HLD/LLD Interviews
Implement and verify OpenTelemetry Distributed Tracing, Prometheus, Grafana & HLD/LLD Interviews (Trace cross-service latency bottlenecks and ace Staff/SDE-2 System Design rounds.) inside your cohort...
Supervised Live Lab Task: OpenTelemetry Distributed Tracing, Prometheus, Grafana & HLD/LLD Interviews
// OpenTelemetry Distributed Tracing, Prometheus, Grafana & HLD/LLD Interviews
// Purpose: Trace cross-service latency bottlenecks and ace Staff/SDE-2 System Design rounds.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}Architect, implement, test, and push the production GitHub repository 'GitHub Actions DevSecOps Pipeline & OpenTelemetry Grafana Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 13: DevSecOps CI/CD, OpenTelemetry Observability & System Design.
Module Learning & Hands-On Objectives
💡 Self-Explanatory Overview: In simple, everyday terms, End-to-End Client Production Cutover, Load Testing & Security Sign-Off teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications deploy the live multi-tenant Java + Spring AI + React + AWS platform for client users. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply End-to-End Client Production Cutover, Load Testing & Security Sign-Off in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Deploy the live multi-tenant Java + Spring AI + React + AWS platform for client users, so your code stays reliable, fast, and easy to maintain in production.
What Is End-to-End Client Production Cutover, Load Testing & Security Sign-Off & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master End-to-End Client Production Cutover, Load Testing & Security Sign-Off for a concrete production goal: Deploy the live multi-tenant Java + Spring AI + React + AWS platform for client users. Every session pairs live...
Repository Assignment: End-to-End Client Production Cutover, Load Testing & Security Sign-Off
Implement and verify End-to-End Client Production Cutover, Load Testing & Security Sign-Off (Deploy the live multi-tenant Java + Spring AI + React + AWS platform for client users.) inside your cohort...
Supervised Live Lab Task: End-to-End Client Production Cutover, Load Testing & Security Sign-Off
// End-to-End Client Production Cutover, Load Testing & Security Sign-Off
// Purpose: Deploy the live multi-tenant Java + Spring AI + React + AWS platform for client users.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}💡 Self-Explanatory Overview: In simple, everyday terms, GitHub Portfolio Audit, ≥90% AI Mock Gate & 100-Opening Placement Launch teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications complete final ≥90% mock/viva verification and enter the 6-month 100-opening placement drive. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply GitHub Portfolio Audit, ≥90% AI Mock Gate & 100-Opening Placement Launch in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Complete final ≥90% mock/viva verification and enter the 6-month 100-opening placement drive, so your code stays reliable, fast, and easy to maintain in production.
What Is GitHub Portfolio Audit, ≥90% AI Mock Gate & 100-Opening Placement Launch & Real-World Engineering PurposeInside Java Full Stack Development & Enterprise Cloud Architecture, you master GitHub Portfolio Audit, ≥90% AI Mock Gate & 100-Opening Placement Launch for a concrete production goal: Complete final ≥90% mock/viva verification and enter the 6-month 100-opening placement drive. Every session...
Repository Assignment: GitHub Portfolio Audit, ≥90% AI Mock Gate & 100-Opening Placement Launch
Implement and verify GitHub Portfolio Audit, ≥90% AI Mock Gate & 100-Opening Placement Launch (Complete final ≥90% mock/viva verification and enter the 6-month 100-opening placement drive.) inside you...
Supervised Live Lab Task: GitHub Portfolio Audit, ≥90% AI Mock Gate & 100-Opening Placement Launch
// GitHub Portfolio Audit, ≥90% AI Mock Gate & 100-Opening Placement Launch
// Purpose: Complete final ≥90% mock/viva verification and enter the 6-month 100-opening placement drive.
public record GateCheck(String module, boolean verified) {
public static GateCheck assertReady(String module) {
if (module == null || module.isBlank()) throw new IllegalArgumentException("Module required");
return new GateCheck(module.trim(), true);
}
}Architect, implement, test, and push the production GitHub repository 'FinCore Live Client Production Deployment & Portfolio Audit Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 14: Live Client Production Capstone & ≥90% Placement Gate Sprint.
Module Learning & Hands-On Objectives
💡 Self-Explanatory Overview: In simple, everyday terms, Spring AI Advisors, Structured Output, Tool Calling & Grounded pgvector Retrieval teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications embed audited generative AI workflows directly inside type-safe Java 21 Spring Boot services. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Spring AI Advisors, Structured Output, Tool Calling & Grounded pgvector Retrieval in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Embed audited generative AI workflows directly inside type-safe Java 21 Spring Boot services, so your code stays reliable, fast, and easy to maintain in production.
Self-Explanatory Guide: Spring AI Advisors, Structured Output, Tool Calling & Grounded pgvector Retrieval (Plain-English & Industry Purpose)In simple, everyday terms, Spring AI Advisors, Structured Output, Tool Calling & Grounded pgvector Retrieval teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications embed audited generative AI workflows directly inside type-safe Ja...
Practical Implementation: Spring AI Advisors, Structured Output, Tool Calling & Grounded pgvector Retrieval
Implement and verify Spring AI Advisors, Structured Output, Tool Calling & Grounded pgvector Retrieval (Embed audited generative AI workflows directly inside type-safe Java 21 Spring Boot services) wi...
Guided Live Lab Checklist: Spring AI Advisors, Structured Output, Tool Calling & Grounded pgvector Retrieval
// Spring AI Advisors, Structured Output, Tool Calling & Grounded pgvector Retrieval
// Purpose: Embed audited generative AI workflows directly inside type-safe Java 21 Spring Boot services
import java.util.Map;
public final class ProductionTopicCheck {
public static Map<String, Object> verify(String tenantId) {
if (tenantId == null || tenantId.isBlank()) {
throw new IllegalArgumentException("tenantId is required");
}
return Map.of("topic", "Spring AI Advisors, Structured Ou...💡 Self-Explanatory Overview: In simple, everyday terms, Transactional Outbox, Idempotent Kafka Consumers & Resilience4j Bulkheads/Circuit Breakers teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications guarantee financial consistency and fault isolation across distributed Java microservices. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Transactional Outbox, Idempotent Kafka Consumers & Resilience4j Bulkheads/Circuit Breakers in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Guarantee financial consistency and fault isolation across distributed Java microservices, so your code stays reliable, fast, and easy to maintain in production.
Self-Explanatory Guide: Transactional Outbox, Idempotent Kafka Consumers & Resilience4j Bulkheads/Circuit Breakers (Plain-English & Industry Purpose)In simple, everyday terms, Transactional Outbox, Idempotent Kafka Consumers & Resilience4j Bulkheads/Circuit Breakers teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications guarantee financial consistency and fault isolat...
Practical Implementation: Transactional Outbox, Idempotent Kafka Consumers & Resilience4j Bulkheads/Circuit Breakers
Implement and verify Transactional Outbox, Idempotent Kafka Consumers & Resilience4j Bulkheads/Circuit Breakers (Guarantee financial consistency and fault isolation across distributed Java microservic...
Guided Live Lab Checklist: Transactional Outbox, Idempotent Kafka Consumers & Resilience4j Bulkheads/Circuit Breakers
// Transactional Outbox, Idempotent Kafka Consumers & Resilience4j Bulkheads/Circuit Breakers
// Purpose: Guarantee financial consistency and fault isolation across distributed Java microservices
import java.util.Map;
public final class ProductionTopicCheck {
public static Map<String, Object> verify(String tenantId) {
if (tenantId == null || tenantId.isBlank()) {
throw new IllegalArgumentException("tenantId is required");
}
return Map.of("topic", "Transactional Outbox, Idemp...💡 Self-Explanatory Overview: In simple, everyday terms, React 19 + TypeScript Enterprise Frontend Integration with OAuth2/OIDC BFF Pattern teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications connect React workspaces securely to Spring Security 6 resource servers without token exposure. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply React 19 + TypeScript Enterprise Frontend Integration with OAuth2/OIDC BFF Pattern in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Connect React workspaces securely to Spring Security 6 resource servers without token exposure, so your code stays reliable, fast, and easy to maintain in production.
Self-Explanatory Guide: React 19 + TypeScript Enterprise Frontend Integration with OAuth2/OIDC BFF Pattern (Plain-English & Industry Purpose)In simple, everyday terms, React 19 + TypeScript Enterprise Frontend Integration with OAuth2/OIDC BFF Pattern teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications connect React workspaces securely to Spring Security 6 resource servers...
Practical Implementation: React 19 + TypeScript Enterprise Frontend Integration with OAuth2/OIDC BFF Pattern
Implement and verify React 19 + TypeScript Enterprise Frontend Integration with OAuth2/OIDC BFF Pattern (Connect React workspaces securely to Spring Security 6 resource servers without token exposure)...
Guided Live Lab Checklist: React 19 + TypeScript Enterprise Frontend Integration with OAuth2/OIDC BFF Pattern
// React 19 + TypeScript Enterprise Frontend Integration with OAuth2/OIDC BFF Pattern
// Purpose: Connect React workspaces securely to Spring Security 6 resource servers without token exposure
import java.util.Map;
public final class ProductionTopicCheck {
public static Map<String, Object> verify(String tenantId) {
if (tenantId == null || tenantId.isBlank()) {
throw new IllegalArgumentException("tenantId is required");
}
return Map.of("topic", "React 19 + TypeScript Enterpri...Architect, implement, test, and document 'Spring AI + pgvector Enterprise Copilot & Transactional Outbox Microservice Repo' applying every bullet-wise engineering concept from Module 15 (Enterprise Spring AI, pgvector RAG & Event-Driven Saga Resilience) of Java Full Stack Development & Enterprise Cloud Architecture.
Module Learning & Hands-On Objectives
💡 Self-Explanatory Overview: In simple, everyday terms, Testcontainers CI, Multi-Stage JRE Images & Zero-Downtime AWS Cloud Rollouts teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications automate end-to-end verification and production deployment from GitHub Actions to AWS. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Testcontainers CI, Multi-Stage JRE Images & Zero-Downtime AWS Cloud Rollouts in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Automate end-to-end verification and production deployment from GitHub Actions to AWS, so your code stays reliable, fast, and easy to maintain in production.
Self-Explanatory Guide: Testcontainers CI, Multi-Stage JRE Images & Zero-Downtime AWS Cloud Rollouts (Plain-English & Industry Purpose)In simple, everyday terms, Testcontainers CI, Multi-Stage JRE Images & Zero-Downtime AWS Cloud Rollouts teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications automate end-to-end verification and production deployment from GitHub Actio...
Practical Implementation: Testcontainers CI, Multi-Stage JRE Images & Zero-Downtime AWS Cloud Rollouts
Implement and verify Testcontainers CI, Multi-Stage JRE Images & Zero-Downtime AWS Cloud Rollouts (Automate end-to-end verification and production deployment from GitHub Actions to AWS) with explicit...
Guided Live Lab Checklist: Testcontainers CI, Multi-Stage JRE Images & Zero-Downtime AWS Cloud Rollouts
// Testcontainers CI, Multi-Stage JRE Images & Zero-Downtime AWS Cloud Rollouts
// Purpose: Automate end-to-end verification and production deployment from GitHub Actions to AWS
import java.util.Map;
public final class ProductionTopicCheck {
public static Map<String, Object> verify(String tenantId) {
if (tenantId == null || tenantId.isBlank()) {
throw new IllegalArgumentException("tenantId is required");
}
return Map.of("topic", "Testcontainers CI, Multi-Stage JRE Images & Z...💡 Self-Explanatory Overview: In simple, everyday terms, OpenTelemetry Distributed Tracing, Micrometer Prometheus Dashboards & JFR Profiling teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications diagnose cross-service p99 latency, connection pool exhaustion, and JVM memory pressure. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply OpenTelemetry Distributed Tracing, Micrometer Prometheus Dashboards & JFR Profiling in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Diagnose cross-service p99 latency, connection pool exhaustion, and JVM memory pressure, so your code stays reliable, fast, and easy to maintain in production.
Self-Explanatory Guide: OpenTelemetry Distributed Tracing, Micrometer Prometheus Dashboards & JFR Profiling (Plain-English & Industry Purpose)In simple, everyday terms, OpenTelemetry Distributed Tracing, Micrometer Prometheus Dashboards & JFR Profiling teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications diagnose cross-service p99 latency, connection pool exhaustion...
Practical Implementation: OpenTelemetry Distributed Tracing, Micrometer Prometheus Dashboards & JFR Profiling
Implement and verify OpenTelemetry Distributed Tracing, Micrometer Prometheus Dashboards & JFR Profiling (Diagnose cross-service p99 latency, connection pool exhaustion, and JVM memory pressure) with...
Guided Live Lab Checklist: OpenTelemetry Distributed Tracing, Micrometer Prometheus Dashboards & JFR Profiling
// OpenTelemetry Distributed Tracing, Micrometer Prometheus Dashboards & JFR Profiling
// Purpose: Diagnose cross-service p99 latency, connection pool exhaustion, and JVM memory pressure
import java.util.Map;
public final class ProductionTopicCheck {
public static Map<String, Object> verify(String tenantId) {
if (tenantId == null || tenantId.isBlank()) {
throw new IllegalArgumentException("tenantId is required");
}
return Map.of("topic", "OpenTelemetry Distributed Tracing, M...💡 Self-Explanatory Overview: In simple, everyday terms, Full Stack Java Architect System Design, Live Coding & Placement Interview Defense teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications clear product-company DSA, Spring internals, React, and cloud architecture hiring rounds. Even if you have never seen this concept before, your trainer explains the real-life problem first, writes clean Java 21 LTS, Spring Boot 3.3, Spring AI & RAG code live on screen, and shows what breaks in production if this step is skipped.
🎯 For What Purpose: To understand and apply Full Stack Java Architect System Design, Live Coding & Placement Interview Defense in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Clear product-company DSA, Spring internals, React, and cloud architecture hiring rounds, so your code stays reliable, fast, and easy to maintain in production.
Self-Explanatory Guide: Full Stack Java Architect System Design, Live Coding & Placement Interview Defense (Plain-English & Industry Purpose)In simple, everyday terms, Full Stack Java Architect System Design, Live Coding & Placement Interview Defense teaches you how Java Full Stack Development & Enterprise Cloud Architecture applications clear product-company DSA, Spring internals, React, and cloud ar...
Practical Implementation: Full Stack Java Architect System Design, Live Coding & Placement Interview Defense
Implement and verify Full Stack Java Architect System Design, Live Coding & Placement Interview Defense (Clear product-company DSA, Spring internals, React, and cloud architecture hiring rounds) with...
Guided Live Lab Checklist: Full Stack Java Architect System Design, Live Coding & Placement Interview Defense
// Full Stack Java Architect System Design, Live Coding & Placement Interview Defense
// Purpose: Clear product-company DSA, Spring internals, React, and cloud architecture hiring rounds
import java.util.Map;
public final class ProductionTopicCheck {
public static Map<String, Object> verify(String tenantId) {
if (tenantId == null || tenantId.isBlank()) {
throw new IllegalArgumentException("tenantId is required");
}
return Map.of("topic", "Full Stack Java Architect System Des...Architect, implement, test, and document 'Docker + EKS/AWS CI/CD Deployment, OpenTelemetry Tracing & Mock Hiring Loop Repo' applying every bullet-wise engineering concept from Module 16 (AWS Cloud Deployment, JVM Observability & ≥90% Placement Gate System Design) of Java Full Stack Development & Enterprise Cloud Architecture.
For What Purpose: To understand and apply JVM ClassLoader, Stack vs Heap, G1/ZGC & Escape Analysis in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Write low-GC enterprise Java services that never crash under peak production load, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply Records, Sealed Hierarchies, Pattern Matching & Generics in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Model strict, immutable domain contracts for banking and SaaS microservices, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply Streams API, CompletableFuture & Project Loom Virtual Threads in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Handle 50,000+ concurrent blocking I/O requests cleanly without thread-pool exhaustion, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: Architect, implement, test, and push the production GitHub repository 'Multi-Threaded Ledger Engine & JVM Memory Profiler Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 1: Java 21 LTS Core, Memory Model & Functional Concurrency.
For What Purpose: To understand and apply Arrays, Sliding Window, Binary Search & Hashing Internals in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Clear product-company OA rounds and optimize hot lookup paths from O(N²) to O(N), so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply Trees, Heaps, PriorityQueues & Trie Prefix Indexing in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Implement real-time job schedulers, top-K leaderboards, and instant search autocomplete, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply Graphs (BFS/DFS/Dijkstra) & Dynamic Programming Patterns in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Solve dependency resolution, shortest-path routing, and resource-allocation problems, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: Architect, implement, test, and push the production GitHub repository 'High-Frequency Order-Book & Graph Routing Engine Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 2: Data Structures, Algorithms & Problem-Solving in Java.
For What Purpose: To understand and apply Normalized Schema Design, CTEs, Window Functions & JSONB in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Author analytical financial queries and hybrid relational-document data models, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply MVCC Isolation, B-Tree/GIN Indexes & EXPLAIN ANALYZE Tuning in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Eliminate deadlocks and tune slow 800ms SQL queries down to sub-8ms index scans, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply PostgreSQL pgvector Embeddings, HNSW Indexes & Flyway Migrations in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Store semantic AI vectors alongside transactional SQL tables with versioned migrations, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: Architect, implement, test, and push the production GitHub repository 'Multi-Tenant ACID Banking Schema & pgvector Hybrid Store Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 3: PostgreSQL 16 Architecture, SQL Indexing & Vector Storage.
For What Purpose: To understand and apply IoC Container, Bean Scopes, CGLIB Proxies & Profiles in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Master how Spring wires enterprise applications and avoid proxy self-invocation bugs, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply RESTful Controllers, Bean Validation, ProblemDetails & OpenAPI 3.1 in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Build self-documented, contract-tested JSON APIs with RFC-7807 error responses, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply Spring Actuator, Micrometer Metrics & Structured Logging in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Expose liveness/readiness probes and latency histograms for production monitoring, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: Architect, implement, test, and push the production GitHub repository 'Clean-Architecture Spring Boot 3.3 Catalog & Billing API Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 4: Spring Core, Spring Boot 3.3 Auto-Configuration & REST APIs.
For What Purpose: To understand and apply Entity Lifecycle, Dirty Checking, Fetch Joins & N+1 Elimination in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Prevent hidden Hibernate N+1 query storms that cripple production databases, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply @Transactional Propagation, Optimistic/Pessimistic Locking & HikariCP in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Prevent double-debit race conditions during simultaneous wallet transfers, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply Transactional Outbox Pattern & Testcontainers PostgreSQL Suites in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Verify real database queries in CI using ephemeral Dockerized PostgreSQL containers, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: Architect, implement, test, and push the production GitHub repository 'Idempotent Payment Ledger & Outbox Persistence Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 5: Spring Data JPA, Hibernate 6 Internals & Transaction Integrity.
For What Purpose: To understand and apply SecurityFilterChain, Argon2 Hashing & Rotating JWT Refresh Tokens in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Protect stateless APIs and browser SPAs against token theft, XSS, and CSRF, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply OAuth2 / OIDC Resource Servers, Method RBAC & Multi-Tenant Guards in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Enforce fine-grained tenant and role permissions across enterprise endpoints, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply OWASP API Top-10 Hardening & Redis Sliding-Window Rate Limiting in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Block credential stuffing, broken object-level auth (BOLA), and abusive traffic spikes, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: Architect, implement, test, and push the production GitHub repository 'Enterprise OAuth2 Resource Server & RBAC Identity Gateway Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 6: Spring Security 6, OAuth2 / OIDC & Zero-Trust API Defense.
For What Purpose: To understand and apply Strict TypeScript 5 Generics, Discriminated Unions & Zod Schemas in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Catch API contract mismatches at compile time before UI code ever reaches production, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply React 19 Hooks, Server/Optimistic Actions, TanStack Query & Routing in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Build snappy, accessible dashboards with instant cache invalidation and role guards, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply Real-Time SSE / WebSocket Streams, Virtualized Tables & Vitest UI Tests in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Stream live AI tokens and 100k-row audit logs smoothly at 60fps, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: Architect, implement, test, and push the production GitHub repository 'Enterprise TypeScript Design System & Operator Console Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 7: Modern Frontend Engineering with React 19 & TypeScript 5.
For What Purpose: To understand and apply Spring AI ChatClient, Prompt Templates, Advisors & Structured Outputs in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Integrate LLMs cleanly into Java microservices with strongly typed Java Record outputs, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply Document ETL, Chunking, pgvector Hybrid Search & Citation Grounding in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Build enterprise RAG copilots that answer strictly from verified company documents, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply Spring AI Function/Tool Calling, Guardrails & Automated Faithfulness Evals in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Let Java AI agents invoke audited Spring services safely without prompt-injection leaks, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: Architect, implement, test, and push the production GitHub repository 'Spring AI + pgvector Compliance & Code-Review Copilot Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 8: Spring AI, Enterprise RAG Pipelines & Agentic Java Copilots.
For What Purpose: To understand and apply Domain-Driven Bounded Contexts & Spring Cloud API Gateway Routing in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Decompose monoliths cleanly with centralized auth, routing, and request correlation, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply Resilience4j Circuit Breakers, Bulkheads, Timeouts & Jittered Retries in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Stop cascading outages when downstream payment or notification services degrade, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: Architect, implement, test, and push the production GitHub repository 'Cloud-Native Spring Cloud Gateway & Fault-Tolerant Mesh Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 9: Distributed Microservices, Resilience4j & API Gateways.
For What Purpose: To understand and apply Kafka KRaft Partitions, Idempotent Producers, Consumer Groups & DLQs in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Process high-volume asynchronous business events with zero message loss, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply Distributed Sagas, Redis 7 Cache-Aside & Distributed Locks in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Cut database read load by 90% and coordinate multi-service distributed workflows, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: Architect, implement, test, and push the production GitHub repository 'Kafka Saga Order-Settlement & Redis Low-Latency Cache Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 10: Event-Driven Architecture with Apache Kafka & Redis 7.
For What Purpose: To understand and apply Multi-Stage JRE Dockerfiles, Non-Root Hardening & Compose Stacks in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Shrink Spring Boot container images by 65% and run full local microservice topologies, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply Kubernetes Deployments, Ingress TLS, ConfigMaps/Secrets, HPA & Probes in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Auto-scale Java pods with zero downtime during traffic surges on Kubernetes, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: Architect, implement, test, and push the production GitHub repository 'Hardened Multi-Stage Java Containers & Helm K8s Manifests Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 11: Docker Containerization & Kubernetes (EKS) Orchestration.
For What Purpose: To understand and apply AWS Multi-AZ VPC, IAM OIDC Least Privilege, ALB, EC2 & S3/CloudFront in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Architect secure, production-grade cloud networks and edge storage on AWS, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply RDS Multi-AZ Failover, KMS Secrets & Modular Terraform State Automation in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Provision repeatable cloud environments via version-controlled Infrastructure as Code, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: Architect, implement, test, and push the production GitHub repository 'Terraform AWS Multi-AZ VPC, RDS, S3 & EKS Infrastructure Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 12: AWS Enterprise Cloud Architecture & Terraform IaC.
For What Purpose: To understand and apply GitHub Actions CI/CD, Trivy/Sonar Gates & Blue-Green Releases in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Automate test, security scan, container build, and zero-downtime cloud deployment, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply OpenTelemetry Distributed Tracing, Prometheus, Grafana & HLD/LLD Interviews in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Trace cross-service latency bottlenecks and ace Staff/SDE-2 System Design rounds, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: Architect, implement, test, and push the production GitHub repository 'GitHub Actions DevSecOps Pipeline & OpenTelemetry Grafana Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 13: DevSecOps CI/CD, OpenTelemetry Observability & System Design.
For What Purpose: To understand and apply End-to-End Client Production Cutover, Load Testing & Security Sign-Off in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Deploy the live multi-tenant Java + Spring AI + React + AWS platform for client users, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply GitHub Portfolio Audit, ≥90% AI Mock Gate & 100-Opening Placement Launch in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Complete final ≥90% mock/viva verification and enter the 6-month 100-opening placement drive, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: Architect, implement, test, and push the production GitHub repository 'FinCore Live Client Production Deployment & Portfolio Audit Repo' (strictly zero dummy scaffolding) demonstrating end-to-end mastery of Module 14: Live Client Production Capstone & ≥90% Placement Gate Sprint.
For What Purpose: To understand and apply Spring AI Advisors, Structured Output, Tool Calling & Grounded pgvector Retrieval in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Embed audited generative AI workflows directly inside type-safe Java 21 Spring Boot services, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply Transactional Outbox, Idempotent Kafka Consumers & Resilience4j Bulkheads/Circuit Breakers in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Guarantee financial consistency and fault isolation across distributed Java microservices, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply React 19 + TypeScript Enterprise Frontend Integration with OAuth2/OIDC BFF Pattern in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Connect React workspaces securely to Spring Security 6 resource servers without token exposure, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: Architect, implement, test, and document 'Spring AI + pgvector Enterprise Copilot & Transactional Outbox Microservice Repo' applying every bullet-wise engineering concept from Module 15 (Enterprise Spring AI, pgvector RAG & Event-Driven Saga Resilience) of Java Full Stack Development & Enterprise Cloud Architecture.
For What Purpose: To understand and apply Testcontainers CI, Multi-Stage JRE Images & Zero-Downtime AWS Cloud Rollouts in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Automate end-to-end verification and production deployment from GitHub Actions to AWS, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply OpenTelemetry Distributed Tracing, Micrometer Prometheus Dashboards & JFR Profiling in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Diagnose cross-service p99 latency, connection pool exhaustion, and JVM memory pressure, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: To understand and apply Full Stack Java Architect System Design, Live Coding & Placement Interview Defense in real Java Full Stack Development & Enterprise Cloud Architecture systems — specifically: Clear product-company DSA, Spring internals, React, and cloud architecture hiring rounds, so your code stays reliable, fast, and easy to maintain in production.
For What Purpose: Architect, implement, test, and document 'Docker + EKS/AWS CI/CD Deployment, OpenTelemetry Tracing & Mock Hiring Loop Repo' applying every bullet-wise engineering concept from Module 16 (AWS Cloud Deployment, JVM Observability & ≥90% Placement Gate System Design) of Java Full Stack Development & Enterprise Cloud Architecture.
For What Purpose: Understand real client business requirements, production architecture (Java 21 + Spring Boot 3.3 + Spring AI pgvector + React 19 TS + Kafka + AWS EKS), and team Git branching.
For What Purpose: Build core client workflows, validation, and optimized database/state logic under Industry Expert mentorship.
For What Purpose: Eliminate vulnerabilities, race conditions, and regressions before exposing the system to real client traffic.
For What Purpose: Deploy the verified application to live cloud production with health checks, SSL/TLS, and uptime monitoring.
For What Purpose: Demonstrate your deployed client project, lock in resume/LinkedIn positioning, and receive dual recruiter-verifiable credentials.
Optional external proctored exams coached to ≥90% readiness: Official Vendor Exam Fee (Paid by Student) + Platform Charge (10% of Vendor Fee + 18% GST). Click any certificate card for full exam domains & blueprint details.
Oracle University
Pass: 68% • 1 Aligned Course
Broadcom / VMware Tanzu
Pass: 300 / 500 • 1 Aligned Course
Amazon Web Services (AWS)
Pass: 720 / 1000 • 1 Aligned Course
EDB (EnterpriseDB PostgreSQL)
Pass: 70% • 1 Aligned Course
CNCF / The Linux Foundation
Pass: 66% • 1 Aligned Course
See the exact job positions and realistic salary packages unlocked by Java Full Stack Development & Enterprise Cloud Architecture, plus which specialized MockAttempt Academy courses to pair next to qualify for higher-paying multi-stack engineering roles.
Backed by 14 real GitHub repos, ≥90% AI Mock Gate & 100 job openings in 6 months.
Java 21 + Spring AI + React 19 + Kafka + AWS EKS production ownership.
Full-lifecycle Java + Cloud + GenAI architects command top-decile global compensation.
Why Learn Next (For What Purpose): Sharpen competitive Java DSA speed and ultra-high-throughput Kafka streaming internals.
Why Learn Next (For What Purpose): Add Angular Signals alongside React 19 to qualify for 100% of enterprise banking portals.
Complete 100% of assigned tasks/real-repository capstones during the cohort and score at least 90% in every Topic Mock Test and Voice AI Interview (if you score below 90%, unlimited free re-attempts are automatically unlocked until you cross 90%). After verified graduation, our Placement & Corporate Relations Cell curates and offers at least 100 relevant IT job openings over 6 months (180 days). If you actively apply/attend interviews and we fail to offer 100 relevant job openings within 6 months, 100% of your net tuition fee is refunded as per our Placement Guarantee Policy.
You are never penalized for learning! Whenever your best score on any Topic Mock Test or Voice AI Interview is under 90%, our LMS automatically unlocks unlimited re-attempts so you can study the detailed explanations, revise with your mentor, and re-attempt until you achieve ≥90%.
Weekday Career Intensive batches run Monday–Friday (3.0 Hours/Day = 15h/wk: 90 mins live architecture + 90 mins supervised repository lab). Weekend Working-Professional batches run 5.0 Hours Saturday + 5.0 Hours Sunday + 5.0 Hours guided mid-week repository & PR clinic (15h/wk total).
Yes! Alongside 14 real module repositories, every graduating cohort completes a mentor-led Live Client Production Sprint deployed on cloud HTTPS infrastructure and receives a scannable Official Project Internship Confirmation Letter.
All MockAttempt Tech Academy fees are 100% fixed and non-negotiable (₹54,999 + 18% GST). We never inflate fake MRPs only to bargain discounts because we refuse to compromise on Senior Industry Expert trainers, small interactive live batches, real cloud/repository labs, daily assessments, or placement mentorship.
MockAttempt Tech Academy ensures you qualify through official exam-blueprint live coaching, timed 50-MCQ scenario simulators, and 1-on-1 readiness audits with unlimited re-tests until you score ≥90%. When you opt to apply for an external proctored exam (AWS, Oracle, Python Institute, MongoDB, PostgreSQL, CNCF, Pearson VUE, etc.), you pay the official exam registration fee to the certification vendor plus a transparent 10% Platform Per-Exam Charge (10% of the fee paid to the vendor + 18% GST) for dedicated exam-readiness verification and booking facilitation. Statutory 18% GST also applies to all course tuition fees with official GST invoices.
How MockAttempt Tech Academy Beats Other Institutes
| Evaluation Criteria | ✨ MockAttempt Tech Academy | ₹2–3L Bootcamps | Recorded Video Sites |
|---|---|---|---|
| Fixed Non-Negotiable Fees | ✓ From $24 USD + 18% GST Skill Tracks & From $536 USD + 18% GST Career Programs • 0% Salary Cut | ✕ Inflated ₹80K–₹2.5L fees + 15%–20% ISA salary cut | △ Flash-sale pricing, zero live mentor support |
| Live Mentorship & Schedule | ✓ 100% Live Senior Architect Sessions (Weekday & Weekend + Day 1–Day N Plan) | △ Crowded 80+ batches or junior TA instructors | ✕ Pre-recorded videos with zero live doubt resolution |
| Topic Mock Tests & Voice AI Viva | ✓ 100% Topic Coverage in Timed MCQ Exams & Spoken Google Gemini AI Interviews | ✕ 1–2 generic tests at the end of training | ✕ Basic 3–5 question quizzes; zero spoken viva |
| Production Repos & Credentials | ✓ Real Module Repos + Live Client Prod Deploy + Barcode Cert & Internship Letter | ✕ Toy clone apps & unverifiable paper certificate | ✕ Copy-along demos; zero internship letter |
| Global Vendor Certifications | 🏅 32+ Official Exams Supported (Vendor Fee by Student + 10% Platform Charge) | ✕ Extra ₹15K–₹30K exam coaching charges | ✕ Self-study videos; zero readiness audit |
| 6-Month Placement Covenant | 🛡️ 100 Verified IT Job Openings in 6 Months via Incentivized Recruiters + Indian MNC & Consultancy Tie-Ups — Or 100% Net Tuition Refund* | ✕ Passive job-board links; zero recruiter closure incentive or refund | ✕ None |
Complete Solution Desk: Enquire for Live IT Courses, 100% Placement-Guaranteed* Career Programs, Unplaced / Career-Gap Placement Support, or Ready-to-Submit College / Final-Year Projects (Code + Report + Viva).
🔒 Fixed & Non-Negotiable Course Fees: Course prices are fixed for every student — zero bargaining so we never compromise on Senior Industry Trainers & placement outcomes.
