Java Full Stack Development & Enterprise Cloud Architecture

Operating systems basics, files and directories, environment variables, processes and services, ports and networking basics, client-server architecture, browser-server communication, HTTP/HTTPS basics, DNS, IP addresses, localhost, proxy concepts, and command line fundamentals.

Installing and configuring IntelliJ IDEA, Eclipse, Visual Studio Code, JDK installation, Maven installation, Git installation, Node.js and npm, Postman, Docker Desktop, AWS CLI, and Linux terminal.

Creating a Java project, Maven project structure, pom.xml anatomy, dependency management, build lifecycle (clean, compile, test, package, install), running and debugging applications, environment variables, .env concepts, and application configuration.

Hands-on practical: Initialize a multi-package Java project using Maven archetypes, configure dependencies, compile bytecode, and execute via CLI.

History of Java, JDK vs JRE vs JVM, Java architecture, Java compilation process, bytecode generation, JVM classloading & execution, Java editions, and project structure.

Variables, constants, primitive data types (byte, short, int, long, float, double, char, boolean), reference types, type casting and conversion, wrapper classes, autoboxing, unboxing, and local variable type inference (var).

Arithmetic, relational, logical, assignment, unary, ternary, bitwise, and shift operators with evaluation precedence.

if, if-else, nested conditions, classic switch, enhanced switch expressions with pattern preview, for, enhanced for-each, while, do-while, break, continue, and return.

Method declaration, parameters, return types, method overloading, varargs, static vs instance methods, pass-by-value mechanics, and recursion fundamentals.

One-dimensional arrays, multi-dimensional arrays, array traversal, searching, sorting, copying with System.arraycopy, and array manipulation utilities.

String creation, immutability concepts, String Constant Pool, comparison (== vs equals), String vs StringBuilder vs StringBuffer, common String APIs, parsing, and formatting.

Classes, objects, constructors (default, parameterized, copy), encapsulation, inheritance, polymorphism (compile-time vs runtime), abstraction, interfaces, abstract classes, method overriding, this, super, and final keywords.

public, private, protected, default/package-private access specifiers, package hierarchies, and static/named imports.

java.lang.Object methods (toString, equals, hashCode, clone), Math, Arrays, Objects, System, Integer, Long, Double, BigDecimal for precision, and UUID generation.

Errors vs exceptions, checked vs unchecked exceptions, try, catch, finally, throw, throws, custom business exceptions, exception hierarchies, multi-catch, and try-with-resources with AutoCloseable.

Collection hierarchy, List (ArrayList, LinkedList, Vector, Stack), Set (HashSet, LinkedHashSet, TreeSet), Map (HashMap, LinkedHashMap, TreeMap, ConcurrentHashMap), Queue (PriorityQueue, ArrayDeque), Iterators, Comparable, Comparator, hashing, equals() and hashCode() contract.

Generic classes, generic methods, generic interfaces, type parameters, bounded types (<T extends Comparable<T>>), wildcards (?), upper bounded (extends), and lower bounded (super).

Lambda expressions, functional interfaces (@FunctionalInterface), Predicate, Consumer, Supplier, Function, BiFunction, method references (::), default and static interface methods, and java.util.Optional.

Stream creation, intermediate operations (filter, map, flatMap, sorted, distinct, limit, skip, peek), terminal operations (forEach, collect, reduce, count, min, max, findFirst, findAny), Collectors groupingBy, partitioningBy, and parallel stream performance.

LocalDate, LocalTime, LocalDateTime, ZonedDateTime, Instant, Duration, Period, and DateTimeFormatter formatting.

Process vs thread, Thread lifecycle, Runnable vs Callable, Future, ExecutorService, fixed/cached thread pools, synchronization, ReentrantLock, race conditions, deadlocks, atomic variables, concurrent collections, and CompletableFuture async chaining.

JVM architecture, ClassLoader subsystem, Heap, Stack, Metaspace, Garbage Collection mechanisms (Serial, Parallel, G1, ZGC), memory leak identification, StackOverflowError, OutOfMemoryError, and JVM monitoring tools.

Big O, Big Omega, Big Theta notations, asymptotic time complexity, space complexity, best, average, and worst-case performance analysis.

Linear & binary searching, sorting algorithms (Merge, Quick, Insertion), two pointers technique, sliding window, prefix sums, and contiguous subarray problems.

Character frequency maps, anagram detection, palindrome verification, substrings, longest substring without repeating characters, and string parsing.

Singly linked list, doubly linked list, circular list, in-place reversal, Floyd’s cycle detection algorithm, and merging sorted lists.

Stack implementation, balanced parentheses validation, Next Greater Element via monotonic stack, and arithmetic expression evaluation.

Standard queue, circular queue, double-ended queue (deque), and priority queue implementation.

HashMap problem patterns, frequency counters, Two Sum problem, duplicate detection, and rolling hash concepts.

Binary tree representations, BST insertion/search/deletion, traversals (preorder, inorder, postorder, level order/BFS), tree height, diameter, and Lowest Common Ancestor (LCA).

Min heap, max heap, heapify operations, priority queues, and Top K frequent elements / Kth largest element problems.

Adjacency matrix vs adjacency list, Breadth-First Search (BFS), Depth-First Search (DFS), connected components, cycle detection, and Dijkstra shortest path basics.

Recursive call stacks, subset generation, permutations, combination sums, and N-Queens constraint satisfaction.

Overlapping subproblems, optimal substructure, top-down memoization, bottom-up tabulation, 1D DP (Climbing Stairs, House Robber), 2D DP (0/1 Knapsack, Longest Common Subsequence).

Mock coding test rounds, easy-to-medium LeetCode/HackerRank style problem solving, time-bound Java coding assessments, and interview walk-throughs.

Database concepts, RDBMS principles, tables, rows, columns, primary keys, foreign keys, constraints (NOT NULL, UNIQUE, CHECK), and table relationships.

SELECT, INSERT, UPDATE, DELETE, WHERE filtering, ORDER BY, GROUP BY, HAVING, DISTINCT, LIMIT, and OFFSET.

INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, CROSS JOIN, and Self Joins for hierarchical data.

Scalar subqueries, correlated subqueries, Common Table Expressions (WITH CTE), CASE conditional logic, UNION and UNION ALL, EXISTS, IN, BETWEEN, and Window ranking functions (ROW_NUMBER, RANK, DENSE_RANK, LEAD, LAG).

Database normalization rules (1NF, 2NF, 3NF), intentional denormalization, entity relationships (1:1, 1:N, M:N), and Entity-Relationship (ER) diagramming.

Index fundamentals, B-tree indexes, composite indexes, unique indexes, index selectivity, query performance tuning, and reading EXPLAIN query execution plans.

ACID properties (Atomicity, Consistency, Isolation, Durability), COMMIT, ROLLBACK, transaction isolation levels (Read Uncommitted, Read Committed, Repeatable Read, Serializable), dirty reads, non-repeatable reads, phantom reads, and deadlock resolution.

Database installation, user management, grant privileges, database backup and restoration, stored procedures, database views, and trigger execution.

JDBC architecture, JDBC Driver types, DriverManager, Connection, Statement, PreparedStatement, ResultSet navigation, and CRUD operations against MySQL/PostgreSQL.

setAutoCommit(false), commit(), rollback(), Savepoints, batch query processing, connection pooling concepts (HikariCP), SQL injection prevention via parameterized queries, and SQLException handling.

Build a Java-based Employee Management System implementing DAO pattern, connection pooling, and transactional CRUD.

Maven introduction, build lifecycles (clean, default, site), POM hierarchy, dependency management, transitive dependencies, dependency scopes (compile, provided, runtime, test, system), and resolving version conflicts.

Compiler and surefire test plugins, Maven build profiles, Maven repositories (Local, Central, Remote), multi-module parent POMs, and build packaging into runnable JAR and WAR files.

Git architecture, repositories, working tree, staging index, commit DAGs, branching models, merging, and rebasing.

clone, init, status, add, commit, push, pull, fetch, checkout, switch, merge, rebase, stash, reset (soft/mixed/hard), revert, cherry-pick, tag, log, and diff.

GitHub repositories, README creation, Pull Request (PR) reviews, branch protection rules, .gitignore best practices, and release management.

Semantic HTML elements (header, nav, main, section, article, footer), accessible forms, input types and validation, tables, links, media, accessibility (a11y) basics, and SEO fundamentals.

CSS selectors, box model, absolute/relative positioning, Flexbox, CSS Grid layouts, responsive media queries, CSS variables, transitions, and keyframe animations.

Variables (let, const), data types, functions, arrow functions, arrays, objects, scope, closures, DOM traversal and events, JSON serialization, Promises, async/await, Fetch API, ES6 modules, and local/session storage.

React virtual DOM architecture, functional components, JSX syntax, props, component state, synthetic events, conditional rendering, list rendering, and stable key assignment.

useState, useEffect side-effects, useContext, useRef DOM references, useMemo performance memoization, useCallback memoized callbacks, and authoring custom hooks.

Controlled form inputs, form validation state, user feedback, error messages, and dynamic form inputs.

React Router configuration, Link vs NavLink, nested routes, route parameters (useParams), programmatic navigation (useNavigate), and protected authentication routes.

Integrating backend REST APIs using Axios and Fetch, request/response interceptors, stateless JWT storage, loading spinners, and network error handling.

Context API for light state, Redux fundamentals, Redux Toolkit (RTK) configureStore, createSlice, reducers, and async thunks.

Building enterprise dashboards, data tables, pagination controls, search bars, filter dropdowns, modal dialogs, and toast notifications.

Vite/Webpack build pipelines, environment variables (.env), lazy loading with React.lazy and Suspense, code splitting, and web deployment.

Build an Employee/Recruitment Management Dashboard connecting React UI with Spring Boot REST endpoints.

Spring Framework architecture, Inversion of Control (IoC), Dependency Injection (DI), Spring Beans, ApplicationContext, Bean lifecycle hooks, component scanning, and Java-based configuration.

Constructor injection (recommended), setter injection, field injection pitfalls, @Autowired, @Qualifier resolution, and @Primary beans.

@Component, @Service, @Repository, @Controller, @Configuration, @Bean, @Value property injection, and @Profile environment configuration.

Spring Boot architecture, starter dependencies, @SpringBootApplication, opinionated auto-configuration, application.properties vs application.yml, profiles, embedded Tomcat server, and Spring Boot Actuator.

REST architectural constraints, HTTP verbs (GET, POST, PUT, PATCH, DELETE), HTTP status codes (2xx, 4xx, 5xx), request parameters, path variables, request bodies, response bodies, and HTTP headers.

@RestController, @RequestMapping, @GetMapping, @PostMapping, @PutMapping, @DeleteMapping, and ResponseEntity generic wrappers.

Encapsulating business logic in @Service classes, Data Transfer Objects (DTOs), preventing entity leakage, MapStruct / manual mapper design, and interface-driven services.

Global exception handling using @ControllerAdvice, @RestControllerAdvice, @ExceptionHandler, custom business exceptions, and standardized error response payloads.

@NotNull, @NotBlank, @NotEmpty, @Size, @Min, @Max, @Email, @Pattern regex validation, and creating custom constraint validators.

SLF4J facade, Logback configuration, log levels (DEBUG, INFO, WARN, ERROR), structured JSON logging, and correlation ID tracking via MDC.

Object-Relational Mapping (ORM) principles, Hibernate architecture, JPA standards, @Entity, @Table, @Id generation strategies (IDENTITY, SEQUENCE), EntityManager, persistence context, and entity states (New, Managed, Detached, Removed).

@OneToOne, @OneToMany, @ManyToOne, @ManyToMany, owning vs inverse side, mappedBy, CascadeType, and orphanRemoval.

FetchType.LAZY vs FetchType.EAGER, custom JPQL queries, native SQL queries, Spring Data JPA Specifications for dynamic filtering, Pageable and Sort pagination, solving the N+1 SELECT problem via JOIN FETCH and @EntityGraph, First-level and Second-level caching.

Implement an E-commerce backend data layer with complex entity relationships, audit timestamps, and paginated catalog queries.

Spring Security 6 architecture, SecurityFilterChain bean configuration, authentication vs authorization, BCryptPasswordEncoder hashing, UserDetails, and UserDetailsService implementation.

JWT anatomy (Header, Payload, Signature), HMAC-SHA256 signing, claims extraction, access token generation, refresh token rotation, token expiration, and OncePerRequestFilter authentication filters.

Role-based access (hasRole) vs authority-based access (hasAuthority), @EnableMethodSecurity, @PreAuthorize and @PostAuthorize method protection, and hierarchical roles.

OAuth2 fundamentals, Authorization Code grant flow, Resource Server setup, JWT validation with external IDPs, CORS configuration, CSRF disabling for stateless APIs, secure HTTP headers, and rate limiting.

Client-server integration patterns, CORS setup in Spring Boot (@CrossOrigin & WebMvcConfigurer), Axios HTTP client interceptors, attaching Bearer tokens, and token refresh workflows.

Multipart file upload handling (PDF, images), client-side file preview, server-side pagination sync with React UI tables, debounce search inputs, and dynamic multi-select filtering.

Build a complete Job Portal with candidate registration, resume upload, job search, application tracking, recruiter job posting, and admin dashboard.

Richardson Maturity Model, noun-based resource URIs, hierarchical URI structures, HTTP methods idempotency (GET, PUT, DELETE) vs non-idempotent (POST), API versioning strategies (URI, header, query parameter), and response pagination/filtering.

Swagger UI integration, springdoc-openapi, @Operation, @ApiResponse, @Parameter annotations, interactive Postman collections, and automated API contract testing.

Monolithic architecture, modular monoliths, microservices architecture, domain-driven design (DDD) bounded contexts, benefits, organizational challenges, and distributed complexity.

Service discovery, API Gateway routing, centralized configuration services, authentication gateways, business domain services, and database-per-service pattern.

Spring Cloud Config Server, Eureka Service Discovery, Spring Cloud Gateway routing & filters, declarative REST calls using OpenFeign, and client-side load balancing with Spring Cloud LoadBalancer.

Circuit Breaker pattern states (Closed, Open, Half-Open), fallback mechanisms, retry policies, rate limiters, bulkhead isolation, and timeouts.

Two-Phase Commit (2PC) limitations in cloud, Saga pattern (Orchestration vs Choreography), compensating transactions, Transactional Outbox pattern, and idempotent consumer handling.

CAP theorem (Consistency, Availability, Partition tolerance), PACELC theorem, eventual consistency, distributed locks, caching strategies, and fault tolerance.

Distributed commit log, Kafka broker, topics, partitions, message keys, offsets, producers, consumers, and consumer group rebalancing.

Partitioning strategies, replication factors, in-sync replicas (ISR), message retention policies, message serialization (JSON, Avro schema concepts), consumer error handling, and Dead-Letter Topics (DLT).

Spring Kafka configuration, KafkaTemplate message publishing, @KafkaListener consumer methods, consumer concurrency, acknowledgment modes, and custom error handlers.

Build an event-driven Order Management System with Spring Boot + Kafka + MySQL + Redis handling OrderPlaced, PaymentProcessed, and InventoryReserved events.

In-memory storage architecture, Strings, Lists, Sets, Sorted Sets (ZSet), Hashes, Time-To-Live (TTL), key expiration policies, and Redis persistence (RDB & AOF).

Cache-Aside (Lazy loading), Write-Through, Write-Behind, cache stampede prevention, cache penetration & breakdown mitigations, and distributed locking with Redis (Redlock).

Spring Cache abstraction, @Cacheable, @CachePut, @CacheEvict annotations, RedisTemplate, RedisSerializer configuration, and caching API responses.

Scalability, availability (99.999% SLAs), reliability, maintainability, latency vs throughput, and horizontal vs vertical scaling.

Hardware/software load balancers (L4 vs L7), reverse proxies (Nginx), API Gateways, application clusters, relational vs NoSQL databases, message queues, and object storage.

Database replication (Master-Slave), read replicas, database sharding strategies (key-based, range-based, directory-based), and consistent hashing.

Creational (Singleton, Factory, Builder), Structural (Adapter, Decorator, Proxy), and Behavioral (Strategy, Observer, Template Method) patterns with Java implementations.

End-to-end design walk-throughs: TinyURL Shortener, E-commerce Flash Sale, Food Delivery (Swiggy/Zomato), Ride Booking (Uber), Payment Gateway with idempotency, Notification Dispatcher, and Real-Time Chat App.

Containers vs Virtual Machines, Docker Engine architecture, Docker client CLI, image registries (Docker Hub), and container lifecycle.

docker build, run, ps, stop, start, restart, exec, logs, rm, rmi, pull, and push.

Dockerfile instructions (FROM, COPY, ADD, RUN, CMD, ENTRYPOINT, EXPOSE, ENV, ARG), optimizing image layers, caching, and multi-stage builds for Java Spring Boot and React.

docker-compose.yml, defining services, custom bridge networks, named volumes for database persistence, and environment variable injection.

Containerize Spring Boot application, React application, MySQL, and Redis using Docker Compose with health checks and volume persistence.

Linux kernel and shell, directory hierarchy (/etc, /var, /opt, /home), user and group administration, file permissions (chmod, chown), and systemd service management.

File management (ls, cd, pwd, cp, mv, rm, mkdir), text filtering (cat, grep, find, awk, sed, head, tail, sort), process monitoring (ps, top, kill), and systemctl service control.

ping, curl, wget, netstat/ss, port inspection, DNS configuration, UFW/iptables firewall basics, and SSH key-pair generation and remote access.

Writing Bash scripts, variables, conditional statements (if-else), loops (for, while), script arguments, exit codes, and scheduling cron jobs.

Cloud computing concepts (IaaS, PaaS, SaaS), public vs private vs hybrid clouds, AWS Regions, Availability Zones (AZs), Edge locations, and the AWS Shared Responsibility Model.

IAM Users, Groups, Roles, Policies (JSON structure), Principle of Least Privilege, Multi-Factor Authentication (MFA), and programmatic Access Keys with AWS CLI.

EC2 instance families and sizing, Amazon Machine Images (AMI), Key Pairs, Security Groups (inbound/outbound rules), Elastic Block Store (EBS) volume types, Elastic IP, and instance lifecycles.

Provisioning EC2, configuring User Data bootstrap, deploying Spring Boot JAR as a systemd service, configuring Nginx reverse proxy for React frontend, SSL/HTTPS installation with Let’s Encrypt, and custom domain mapping.

VPC concepts, IPv4 CIDR blocks, public subnets vs private subnets, Route Tables, Internet Gateway (IGW), NAT Gateway for outbound egress, Security Groups vs Network ACLs (NACLs), and VPC endpoints.

Hands-on architectural setup: Internet → Public ALB → Private Subnet EC2/EKS → Isolated Database Subnet.

S3 bucket naming, object keys, storage classes (Standard, Intelligent-Tiering, Glacier), versioning, lifecycle rules, server-side encryption (SSE-S3, SSE-KMS), bucket policies, and static website hosting.

Integrate AWS SDK for Java to generate presigned upload URLs and securely store and retrieve candidate resumes in S3.

RDS fundamentals, database engine selection (PostgreSQL, MySQL), instance sizing, database subnet groups, Multi-AZ automated failover, read replicas for read scaling, point-in-time recovery, automated snapshots, and security group isolation.

NoSQL fundamentals, DynamoDB tables, items, attributes, Partition Key (Hash), Sort Key (Range), Query vs Scan cost implications, Global Secondary Indexes (GSI), Local Secondary Indexes (LSI), on-demand vs provisioned capacity modes, TTL, and DynamoDB Streams.

Load balancing across Availability Zones, Application Load Balancers (ALB), target groups, health check probe endpoints, path-based and host-based routing, and SSL termination.

Auto Scaling Groups (ASG), Launch Templates, dynamic scaling policies (CPU target tracking, step scaling), min/max/desired capacity, and fault-tolerant multi-AZ deployments.

Serverless architecture principles, AWS Lambda functions, supported runtimes (Java, Python, Node), event sources, API Gateway HTTP endpoints, execution roles, timeouts, memory allocation, and cold start mitigations.

Build a serverless REST API integrating API Gateway, Lambda function, and DynamoDB storage.

Decoupling application components, Standard vs FIFO queues, message visibility timeout, dead-letter queues (DLQ), long polling vs short polling, and message deduplication.

Pub/Sub messaging, SNS topics, email/SMS/HTTP subscriptions, and the Fan-out pattern (SNS publishing to multiple SQS queues).

Serverless event bus, event rules, routing events to targets, and building event-driven cloud architectures.

Collecting standard & custom metrics, CloudWatch Logs agent, log groups, log streams, CloudWatch Metric Alarms, notification routing via SNS, and operational dashboards.

Tracking management and data events with CloudTrail, security compliance auditing, AWS X-Ray daemon, instrumenting Spring Boot apps, and analyzing distributed service maps.

Declarative infrastructure, Terraform core architecture, HashiCorp Configuration Language (HCL), AWS provider configuration, terraform init, plan, apply, and destroy.

Input variables, output values, local values, terraform.tfstate, remote backend in S3 with DynamoDB state locking, and composing reusable Terraform modules.

Write Terraform scripts to provision VPC, public/private subnets, Security Groups, EC2 instance, S3 bucket, RDS database, and Application Load Balancer.

Breaking developer-operator silos, Continuous Integration (CI), Continuous Delivery (CD), Continuous Deployment, Infrastructure as Code, automation testing, and telemetry.

Plan → Code → Build → Test → Release → Deploy → Operate → Monitor lifecycle stages and tooling ecosystem.

Workflow YAML files (.github/workflows), events and triggers (push, pull_request, schedule), jobs matrix, steps, GitHub-hosted vs self-hosted runners, and encrypted repository secrets.

Construct pipeline: Git Push → Maven Build → Unit Tests → Docker Build → Push to Amazon ECR → Deploy to Cloud, including PR checks, environment approvals, and automated rollbacks.

Jenkins Master/Controller and Agent nodes, installation, Jenkins plugins ecosystem, credentials store, and integrating GitHub webhooks for automated triggering.

Write a declarative Jenkinsfile executing Checkout → Build with Maven → Test execution → Package JAR → Docker Build → Docker Push to Registry → Remote Deployment.

Control Plane components (API server, etcd, scheduler, controller manager), Worker Node components (kubelet, kube-proxy, container runtime), Pods, and Namespaces.

Deployments, ReplicaSets, Services (ClusterIP, NodePort, LoadBalancer), ConfigMaps, Secrets, Ingress routing, PersistentVolumes (PV), PersistentVolumeClaims (PVC), StatefulSets, Jobs, and CronJobs.

kubectl commands, horizontal pod autoscaling (HPA), zero-downtime rolling updates, automated rollbacks, liveness and readiness probes, and CPU/memory resource limits.

EKS managed control plane, worker node groups, VPC CNI networking, Amazon Elastic Container Registry (ECR) integration, IAM Roles for Service Accounts (IRSA), and AWS Load Balancer Controller.

Deploy the complete Spring Boot + React + Kafka + Redis microservices stack to an Amazon EKS cluster with Ingress routing.

Architecting a zero-touch pipeline: Developer Git Push → GitHub Actions / Jenkins → Maven Build → Unit & Integration Tests → Docker Build & Vulnerability Scan → Amazon ECR Tagging → EKS Rolling Deployment → ALB Verification → Health Check Monitoring.

SonarQube static code quality gates, automated test thresholds, immutable container image tagging (commit SHA), canary and blue-green deployment strategies, and automated rollback upon probe failure.

Test lifecycle (@BeforeEach, @AfterEach, @BeforeAll, @AfterAll), Assertions, AssertJ fluent assertions, exception verification (assertThrows), parameterized tests (@ValueSource, @CsvSource), and test suites.

@Mock, @Spy, @InjectMocks, stubbing behaviors with when().thenReturn(), verifying method invocations (verify, times), and ArgumentCaptor verification.

@SpringBootTest, WebMvc test slicing with @WebMvcTest, MockMvc HTTP request simulation, @DataJpaTest for database slice tests, and real database integration testing using Testcontainers with Docker.

Postman test scripts, assertions on status codes and response bodies, environment variables, collection runners, and Newman CLI automation.

OWASP Top 10 security risks, SQL injection mechanisms and mitigation, Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF), and broken authentication.

Secure password storage (BCrypt), JWT security hardening (token theft mitigation, short expiry, refresh token rotation), Secrets Management (AWS Secrets Manager, environment variables), HTTPS enforcement, CORS, rate limiting, and dependency scanning with Snyk/OWASP Dependency-Check.

Garbage Collection tuning flags (-Xms, -Xmx, G1GC tuning), heap dump analysis (VisualVM, Eclipse MAT), detecting memory leaks, and thread pool sizing.

Database index design, eliminating full table scans, analyzing EXPLAIN queries, HikariCP connection pool optimization, Spring Boot lazy loading, Redis caching, and asynchronous processing with @Async.

Structured JSON logging with Logback, log level governance, and generating and propagating Correlation IDs / Trace IDs across microservice HTTP requests.

Spring Boot Actuator health and metrics endpoints, Micrometer metrics collection, Prometheus scraping, Grafana dashboard visualization, and distributed request tracing with OpenTelemetry concepts.

Architecting full production infrastructure: Internet → Amazon Route 53 DNS → Application Load Balancer → API Gateway / Ingress → Kubernetes Pods (Auth, User, Order) → Kafka / Redis / SQS → Amazon RDS & S3.

Domain registration, Route 53 records, SSL/TLS certificates with AWS Certificate Manager (ACM), environment secrets injection, automated multi-AZ database backups, disaster recovery strategies (RPO, RTO), and rollback playbooks.

Spring AI BOM and starters, portable API abstractions, connecting Spring Boot 3 to OpenAI GPT-4o, Anthropic Claude, Azure OpenAI, and local Ollama models with seamless configuration switches.

Conversational AI services using ChatClient.builder(), default system prompts, request advisors, conversation memory, and real-time streaming tokens with reactive Flux<String>.

PromptTemplate, parameter substitutions, role mapping (System, User, Assistant, Tool), BeanOutputConverter, and ListOutputConverter parsing LLM JSON output directly into Java 21 records.

Hands-on practical: Build a production Spring Boot 3 microservice exposing streaming REST endpoints and structured POJO response extraction with Ollama / OpenAI.

High-dimensional vector representations, text-embedding-3-small, cosine similarity, Euclidean distance, dot product math, and semantic cluster analysis.

Configuring PostgreSQL pgvector extension, IVFFlat and HNSW indexing, Spring AI VectorStore abstraction, and low-latency in-memory Redis vector caching.

PdfDocumentReader, JsonReader, TokenTextSplitter, chunk size vs chunk overlap trade-offs, metadata enrichment, and automated batch ingestion pipelines.

Query rewriting, semantic search with top-k ranking, metadata filtering, context window management, citation verification, and hallucination prevention.

Hands-on practical: Implement an end-to-end RAG service ingesting corporate PDF compliance handbooks into pgvector and generating verified, grounded answers with source citations.

How LLMs trigger local application methods via JSON Schema without leaking credentials, Spring @Bean and @Description function registration and invocation lifecycle.

Equipping AI with tools to execute parameterized JPA queries, check inventory in Redis, and trigger external payment gateways safely.

Multi-step agent reasoning, decision trees, loop termination conditions, short-term memory management, and human-in-the-loop approvals.

Prompt injection mitigation, role-based tool execution security, token consumption tracking with Micrometer, Prometheus, and Grafana dashboards.

Hands-on practical: Deploy an autonomous banking assistant that translates user natural language queries into real-time transactional database executions and calculations.

Architecting the Enterprise FinTech Platform: Domain modeling, database schemas, microservice boundaries (Auth, User, Product/Job, Order/Application, Notification, AI Copilot), and REST/Kafka interfaces.

Implementing React 19 + TypeScript dashboard, Spring Boot REST controllers, Spring Security JWT authentication, Spring AI copilot endpoints, and database persistence.

Dockerizing microservices, writing Kubernetes manifests, setting up GitHub Actions automated CI/CD pipeline, and deploying to AWS EKS cluster.

Defending the Capstone project live before the technical evaluation panel: code review, architectural justification, concurrency handling, and simulated failure recovery.

Top interview questions on Core Java, OOP principles, Collections Framework internals (HashMap collision resolution), Streams, multithreading, JVM memory model, and Java 21 features.

Spring dependency injection, bean scopes, REST API design, Spring Security filters, JPA transactions, service discovery, Kafka vs RabbitMQ, circuit breakers, Spring AI RAG, and Saga patterns.

Complex SQL joins, subqueries, CTEs, window functions, indexing internals, ACID transactions, and query optimization interview problems.

AWS services (EC2, VPC, S3, RDS, Lambda, EKS), Docker, Kubernetes, CI/CD, Terraform, and high-level system design interview frameworks.

Developer resume structuring, ATS keyword optimization, technical skills categorization, project impact statements with quantifiable metrics, and work experience phrasing.

Structuring clean GitHub repositories, writing comprehensive READMEs, adding architecture diagrams, documenting API endpoints, showcasing live deployment URLs, and maintaining a green commit history.

Building and deploying a personal portfolio highlighting skills, production projects, certifications, verified credentials, and direct contact options.

Adaptive MCQs for every module: beginner, intermediate, and advanced levels covering conceptual understanding, code output prediction, and debugging scenarios with 100+ tests per topic.

Time-bound coding evaluations in Java 21, SQL queries, JavaScript, React, Spring Boot REST controllers, and Data Structures & Algorithms.

Automated AST project review evaluating architecture, security, database design, and testing; followed by AI technical mock interviews, system design reviews, and HR interview evaluations.

Skill mapping for target roles: Java Developer, Backend Developer, Full Stack Developer, Spring AI Engineer, Cloud Java Developer, and DevOps-aware Developer.

Completing all milestone benchmarks, achieving ≥95% on final exit evaluation, verifying digital credential passport, scheduling verified corporate recruitment drives, and activating the Section 10A placement refund guarantee.