AWS Cloud Computing Online Training
Complete AWS Cloud & Solutions Architecture (SAA-C03 Aligned) Online Training — IAM, VPC, EC2, Auto Scaling, S3, RDS/DynamoDB, Lambda, CloudWatch & Capstone.
Technologies You Will Master
Everything Included: Complete Syllabus, Live Classes & Capstone
This focused 6-week (60 hours) live online training covers 100% of the AWS Cloud Computing Online Training syllabus from core fundamentals to production architecture — culminating in a mentor-reviewed Hands-On Capstone Project you can showcase directly on GitHub and in technical interviews.
Course Overview & Architectural Focus
### 💻 Complete Live Online Training + Hands-On Capstone (₹4,999 All-Inclusive)
AWS Cloud Computing Online Training is a focused, practical **6-Week (60-Hour) Live Online Training Course** engineered to take you through the **complete end-to-end syllabus** without bloated theory or overpriced ₹50,000+ career bundles. Every concept is coded live with industry mentors and reinforced through hands-on labs.
### 🚀 What Is Included in Your ₹4,999 Online Training
- **Complete Structured Syllabus (10 Modules)**: Step-by-step live online classes covering fundamentals, internal mechanics, performance best practices, and production patterns.
- **Hands-On Capstone Project**: Build, test, document, and deploy a real-world GitHub portfolio project reviewed by your trainer.
- **Topic-Wise Mock Tests & AI Viva**: Reinforce every lesson with timed MCQ diagnostics and interactive AI technical viva practice.
- **Direct Trainer Doubt Clearing & Callback Guidance**: Get personalized batch timing support (morning/evening/weekend) and 1-on-1 doubt resolution.
### 🎯 Who Should Join
IT freshers, system administrators, backend developers, and cloud aspirants preparing for AWS Cloud Engineer roles and SAA-C03.
Technologies & Toolchain Mastered
Production-level tools and frameworks practiced during live online coding sessions and capstone development.
Structured Learning Path (4 Phases)
Week-by-week progression taking you from core foundations to your completed Capstone Project.
AWS Global Infrastructure, IAM & VPC Networking
Configure AWS CLI/SDK, IAM governance, CIDR subnetting, security groups, NACLs, and VPC peering.
Elastic Compute, Cloud Storage & Managed Databases
Provision auto-scaling compute fleets, durable object/block/file storage, and high-availability SQL/NoSQL cloud databases.
Serverless, Event Messaging, Security & Observability
Build decoupled serverless workflows, centralized CloudWatch telemetry, KMS/WAF defense-in-depth, and Multi-Region DR.
Well-Architected 3-Tier AWS Cloud Capstone
Architect, deploy, and defend an enterprise Multi-AZ High-Availability AWS Platform Capstone.
Complete Course Syllabus (10 Modules)
Every module includes live coding labs, 20+ topic mock tests per lesson, and AI technical viva practice.
In this module, students master Introduction to Cloud Computing & AWS Global Infrastructure through hands-on cloud labs, architecture diagrams, and real-world configuration exercises. In this module, students master AWS Account Management, Organizations, Billing & CLI / SDK through hands-on cloud labs, architecture diagrams, and real-world configuration exercises.
Core definitions of cloud computing, traditional data centers vs cloud economics, CAPEX to OPEX transition, cloud deployment models (public, private, hybrid, multi-cloud), and the AWS shared responsibility model.
Key architectural tenets: vertical vs horizontal scalability, elasticity dynamics, high availability metrics, fault tolerance boundaries, disaster recovery objectives (RPO/RTO), and pay-as-you-go financial models.
Global cloud footprint: AWS Regions, Availability Zones (AZs), Local Zones, Wavelength Zones, Edge Locations (Points of Presence), Regional Edge Caches, and global low-latency backbone connectivity.
AWS account boundaries, multi-account strategy, root user hardening, AWS Organizations, Organizational Units (OUs), and Service Control Policies (SCPs) guardrails.
Console navigation, AWS CloudShell browser-based terminal, service quota management, requesting limit increases, and AWS Health Dashboard notifications.
Installing AWS CLI v2, named profiles, credentials management (~/.aws/credentials), session tokens, AWS SDK concepts (Boto3, Node.js AWS SDK), and AWS pricing dimensions.
IAM entities, root vs IAM users, group memberships, assume-role trust policies, service-linked roles, and EC2 instance profiles for zero-credential compute access.
IAM JSON policy anatomy (Version, Statement, Effect, Action, Resource, Condition), explicit deny evaluation, identity-based vs resource-based policies, and permission boundaries.
Cross-account STS AssumeRole delegation, enforcing Multi-Factor Authentication via IAM conditions, access key lifecycle, automated credential rotation, and IAM Credential Reports.
In this module, students master Amazon VPC Fundamentals, Subnetting, Gateways & Security Groups through hands-on cloud labs, architecture diagrams, and real-world configuration exercises. In this module, students master Advanced VPC Architecture, Peering, Transit Gateway & PrivateLink through hands-on cloud labs, architecture diagrams, and real-world configuration exercises.
VPC CIDR block allocation (/16 to /28), creating public and private subnets across multiple AZs, reserving AWS networking IPs (.0 to .3 and .255), and VPC flow logs.
Attaching Internet Gateways (IGWs), allocating Elastic IPs, provisioning highly available NAT Gateways in public subnets, and configuring public/private route tables.
Stateful Security Groups (allow-only, instance level) vs stateless Network ACLs (allow/deny, subnet level, numbered rule evaluation), and egress filtering patterns.
Non-overlapping VPC peering connections, routing table updates, inter-region peering encryption, non-transitive peering limitations, and traffic costs.
Transit Gateway (TGW) attachments, route tables, multi-VPC hub-and-spoke topologies, cross-account RAM sharing, and centralized internet egress architecture.
Gateway VPC Endpoints (S3, DynamoDB) with route table integration, Interface Endpoints (PrivateLink) with ENI injection, Site-to-Site IPsec VPN, and AWS Direct Connect dedicated fiber.
In this module, students master Amazon EC2 Architecture, Compute Instances, AMIs & Lifecycle through hands-on cloud labs, architecture diagrams, and real-world configuration exercises. In this module, students master Elastic Compute Auto Scaling, Launch Templates & Scaling Policies through hands-on cloud labs, architecture diagrams, and real-world configuration exercises.
General Purpose (T4g, M6i), Compute Optimized (C7g), Memory Optimized (R6i), Storage Optimized (I3en), x86 vs AWS Graviton3 ARM silicon, and vCPU sizing.
Custom AMIs, AWS Marketplace AMIs, automated AMI creation with EC2 Image Builder, SSH key pairs, User Data boot scripts, and Instance Metadata Service (IMDSv2) token security.
Pricing optimization: On-Demand flexible workloads, Spot Instances for fault-tolerant batch processing, Standard vs Convertible Reserved Instances (RIs), and Compute vs EC2 Instance Savings Plans.
Launch configuration deprecation, Launch Templates (versioning, mixed instance types, spot allocation strategies), Auto Scaling Group min/max/desired capacities, and cooldown timers.
Target tracking policies (CPU utilization, ALB request count per target), step scaling with CloudWatch alarms, scheduled scaling for predictable traffic, and predictive scaling algorithms.
EC2 status checks vs ELB health checks, graceful instance termination, lifecycle hooks (launching/terminating states), zero-downtime rolling instance refreshes, and capacity rebalancing.
ALB listeners, target groups, path-based routing, host-based routing, HTTP header matching, HTTP to HTTPS redirection, and WebSockets / gRPC support.
NLB connection handling, millions of requests per second, static Elastic IPs per AZ, TCP/UDP/TLS termination, and preserving source client IP addresses.
ACM SSL certificate integration, Server Name Indication (SNI) multi-domain hosting, sticky sessions (cookie affinity), and Gateway Load Balancers for third-party virtual appliance inspection.
In this module, students master Amazon S3 Object Storage, Storage Classes, Lifecycle & Security through hands-on cloud labs, architecture diagrams, and real-world configuration exercises. In this module, students master Amazon Elastic Block Store (EBS) Volumes, Snapshots & Performance through hands-on cloud labs, architecture diagrams, and real-world configuration exercises.
Bucket naming rules, global namespace, object keys, metadata, versioning, multipart uploads for multi-gigabyte files, and static website hosting.
S3 Standard, Intelligent-Tiering, Standard-IA, One Zone-IA, Glacier Instant Retrieval, Glacier Flexible Retrieval, Glacier Deep Archive, and automated transition/expiration lifecycle policies.
Server-Side Encryption (SSE-S3, SSE-KMS, SSE-C), Bucket Policies, Block Public Access controls, Access Control Lists (ACLs), S3 Object Lock, and generating time-limited presigned URLs.
General Purpose SSD (gp3 baseline 3,000 IOPS / 125 MB/s), Provisioned IOPS SSD (io2 Block Express for sub-millisecond latencies), Throughput Optimized HDD (st1), and Cold HDD (sc1).
Point-in-time incremental snapshots, S3 snapshot durability, fast snapshot restore (FSR), Amazon Data Lifecycle Manager (DLM) backup automation, and cross-region snapshot copying.
KMS envelope encryption, encrypting unencrypted volumes via snapshots, EBS Multi-Attach on io2 volumes, and elastic volume modifications (size, IOPS, throughput) without downtime.
Fully managed elastic NFSv4 shared file system, mount targets across multiple AZs, POSIX compliance, Linux permissions, and concurrent multi-EC2 instance access.
General Purpose vs Max I/O performance modes, Bursting Throughput vs Elastic Throughput vs Provisioned Throughput, and latency optimization for distributed workloads.
Automated tiering to EFS Infrequent Access (EFS IA) and EFS Archive, lifecycle transition policies, backup integration with AWS Backup, and hybrid on-premises mounting via Direct Connect.
In this module, students master Managed Relational Databases: Amazon RDS & High Availability Amazon Aurora through hands-on cloud labs, architecture diagrams, and real-world configuration exercises. In this module, students master NoSQL Databases at Scale: Amazon DynamoDB Architecture & Global Tables through hands-on cloud labs, architecture diagrams, and real-world configuration exercises.
Supported engines (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle), instance classes, storage auto-scaling, DB parameter groups, and option groups.
Synchronous physical replication to standby instance in secondary AZ, automatic DNS failover, zero data loss, maintenance windows, and automated snapshots.
Distributed log-structured storage architecture, 6 storage copies across 3 AZs, up to 15 auto-scaling read replicas, sub-second failover, Aurora Serverless v2, and Aurora Global Database replication.
Key-value and document data model, primary key design (partition key only vs composite partition + sort key), partitions, hash distribution, and schema-less item attributes.
Local Secondary Indexes (LSI - shared partition key, alternative sort key, created at table creation) vs Global Secondary Indexes (GSI - custom partition and sort key, asynchronous replication).
Provisioned capacity with auto-scaling vs On-Demand capacity, Read/Write Capacity Units (RCUs/WCUs), Time to Live (TTL) automated expiration, DynamoDB Streams, and multi-region active-active Global Tables.
Sub-millisecond read latency, caching design patterns (Cache-Aside / Lazy Loading vs Write-Through), cache stampede mitigation, and TTL expiration strategies.
Redis data structures (strings, hashes, lists, sets, sorted sets), primary-replica cluster topologies, Multi-AZ with automatic failover, cluster mode enabled (sharding across slots), and backups.
Distributed session storage for stateless compute, Redis Pub/Sub capabilities, comparing Redis (rich data structures, persistence, replication) vs Memcached (pure multi-threaded simple caching).
In this module, students master Serverless Compute: AWS Lambda Architecture, Runtime & Concurrency through hands-on cloud labs, architecture diagrams, and real-world configuration exercises. In this module, students master Modern API Management: Amazon API Gateway (REST, HTTP & WebSocket) through hands-on cloud labs, architecture diagrams, and real-world configuration exercises.
Function anatomy: entry point handler, event and context objects, supported runtimes (Python, Node.js, Java, Go, custom runtimes), and memory/vCPU proportional allocation.
Function virtualization lifecycle, cold start latency mitigation, init phase optimization, reusing execution context connections, and Provisioned Concurrency for zero-cold-start performance.
Function execution roles vs resource-based invocation policies, modular Lambda Layers for shared dependencies, VPC ENI attachment mechanics, and ephemeral storage (/tmp up to 10 GB).
Comparing feature sets, HTTP APIs (low latency, cost-effective, CORS, OIDC), REST APIs (advanced caching, request validation, WAF, API keys), and WebSocket APIs for full-duplex communication.
Resources, HTTP methods, stage deployments (dev, stage, prod), stage variables, mapping templates (VTL), and canary release deployments with gradual traffic shifting.
Securing API endpoints using IAM credentials, Amazon Cognito User Pool authorizers, custom Lambda authorizers (token / request-based), usage plans, and token bucket rate throttling.
Coupling hazards in synchronous HTTP architectures, microservices decoupling, eventual consistency, idempotency keys, and error handling in event-driven systems.
Push invocation models (API Gateway, SNS, S3, CloudWatch Events) vs poll-based Event Source Mappings (SQS, DynamoDB Streams, Kinesis, Kafka), and batch window tuning.
Asynchronous failure handling, maximum retry attempts, message age limits, configuring Dead-Letter Queues (SQS/SNS), and Lambda On-Failure / On-Success Destinations.
In this module, students master Message Queuing: Amazon SQS (Standard, FIFO & Dead-Letter Queues) through hands-on cloud labs, architecture diagrams, and real-world configuration exercises. In this module, students master Pub/Sub Messaging: Amazon SNS Fan-Out & Multi-Channel Notifications through hands-on cloud labs, architecture diagrams, and real-world configuration exercises.
Distributed message queue, nearly unlimited throughput, at-least-once message delivery, best-effort message ordering, message deduplication challenges, and payload limits.
Strict First-In-First-Out delivery, exactly-once processing, Message Group ID for partitioned ordering, Message Deduplication ID, and throughput scaling with high-throughput FIFO.
Visibility timeout mechanics, extending message visibility during processing, short polling vs long polling (WaitTimeSeconds = 20), redrive policies, and DLQ error analysis.
Publish/Subscribe design pattern, SNS topics (Standard vs FIFO), message publication, subscriber protocols (SQS, Lambda, HTTP/HTTPS endpoints, Email, SMS, Mobile Push).
Decoupling microservices by fanning out a single published message to multiple SQS queues for parallel asynchronous consumption by different downstream systems.
Subscription filter policies based on message attributes, FIFO SNS ordering, message encryption with KMS, and topic access policies restricting publishing rights.
Serverless event bus, default event bus for AWS service events, custom event buses for enterprise applications, partner event sources (Datadog, PagerDuty), and global endpoints.
Declarative JSON event pattern matching (source, detail-type, prefix, numeric range), routing events to 30+ AWS targets (Lambda, Step Functions, SQS, ECS tasks, API destinations).
Transforming event payloads before dispatching to targets, target-level DLQs, Amazon EventBridge Pipes for point-to-point integrations with built-in filtering and enrichment, and Schema Registry.
In this module, students master Centralized Monitoring: Amazon CloudWatch Metrics, Logs, Dashboards & Alarms through hands-on cloud labs, architecture diagrams, and real-world configuration exercises. In this module, students master AWS Cloud Security Architecture & Enterprise Defense-in-Depth through hands-on cloud labs, architecture diagrams, and real-world configuration exercises.
Standard hypervisor metrics (EC2 CPU, Network, Disk), metric statistics (Average, Sum, p90, p99), custom application metrics via PutMetricData, and metric math expressions.
Log groups, log streams, CloudWatch Unified Agent installation for OS memory/disk metrics, metric filters generating alarms from regex patterns, and CloudWatch Logs Insights querying.
Static threshold alarms vs anomaly detection alarms, alarm states (OK, ALARM, INSUFFICIENT_DATA), composite alarms grouping multiple signals, and building real-time operational dashboards.
Customer responsibility (in the cloud - data, IAM, OS, network configuration) vs AWS responsibility (of the cloud - hardware, software, networking, facilities) across IaaS, PaaS, and serverless.
Multi-layered security boundaries: Edge protection (Route 53, CloudFront, Shield, WAF), Network perimeter (VPC, NACL, SG), Compute (hardened AMIs, patching), and Data (KMS, Macie).
Aligning architectures with CIS AWS Foundations Benchmark, SOC 2, ISO 27001, HIPAA, PCI-DSS, AWS Artifact audit reports, and security posture monitoring.
Customer Managed Keys (CMK) vs AWS Managed Keys, symmetric vs asymmetric keys, key policies, grants, envelope encryption (Data Keys), and automated annual key rotation.
Secrets Manager automated rotation with Lambda, Parameter Store (Standard vs Advanced parameters), and SSH-free secure terminal access via AWS Systems Manager Session Manager.
AWS WAF Web ACL rules (SQLi, XSS, rate limiting, IP reputation), AWS Shield Standard vs Advanced DDoS defense, GuardDuty intelligent threat detection, and Security Hub compliance posture.
In this module, students master High Availability Design Patterns, Multi-AZ Architectures & Distributed Systems through hands-on cloud labs, architecture diagrams, and real-world configuration exercises. In this module, students master Business Continuity & Disaster Recovery (RPO, RTO, Pilot Light & Multi-Region DR) through hands-on cloud labs, architecture diagrams, and real-world configuration exercises.
Calculating system availability across serial vs parallel components, understanding downtime budgets (99.9% = 8.76 hrs/yr vs 99.999% = 5.26 mins/yr), and designing out single points of failure.
Decoupling compute from state, multi-AZ Auto Scaling across 3 availability zones, synchronous database replication, stateless web tiers, and session offloading to distributed caches.
Stateless microservices scaling, state externalization, distributed consensus principles, and navigating CAP theorem trade-offs (Consistency vs Availability vs Partition tolerance) on AWS.
Recovery Point Objective (RPO - acceptable data loss window) and Recovery Time Objective (RTO - acceptable downtime window), business impact analysis, and DR tier selection.
Detailed comparative analysis: 1. Backup & Restore (hours RPO/RTO), 2. Pilot Light (minimal core running), 3. Warm Standby (scaled-down duplicate), 4. Multi-Region Active-Active (sub-second RPO/RTO).
S3 Cross-Region Replication (CRR), Aurora Global Database replication, RDS cross-region read replicas, Route 53 DNS failover routing policies, and running regular disaster recovery game days.
The FinOps lifecycle (Inform, Optimize, Operate), mandatory cost allocation tagging strategies, consolidated billing in AWS Organizations, and department chargebacks.
Forecasting spend with AWS Cost Explorer, setting proactive threshold alerts in AWS Budgets (actual and forecasted spend), and detecting sudden bill shocks with AWS Cost Anomaly Detection.
Right-sizing over-provisioned EC2/RDS instances using AWS Compute Optimizer recommendations, eliminating unattached EBS volumes/snapshots, and tuning S3 lifecycle transition rules.
Operational Excellence (infrastructure as code, small reversible changes, preparing for failures) and Security (identity foundations, traceability, protecting data at rest/transit, incident response).
Reliability (recovering automatically from failure, testing recovery procedures, horizontal scaling) and Performance Efficiency (democratizing advanced technologies, serverless, selecting optimal resources).
Cost Optimization (measuring efficiency, paying for consumption, expenditure analysis) and Sustainability (understanding environmental impact, maximizing utilization, adopting efficient hardware).
In this module, students master AWS Certified Solutions Architect – Associate (SAA-C03) Exam Mastery & Strategy through hands-on cloud labs, architecture diagrams, and real-world configuration exercises. In this module, students master Solutions Architect Real-World Architecture Exercises (12 Industry Scenarios) through hands-on cloud labs, architecture diagrams, and real-world configuration exercises.
Comprehensive review of the 4 exam domains: Design Secure Architectures (30%), Design Resilient Architectures (26%), Design High-Performing Architectures (24%), Design Cost-Optimized Architectures (20%).
Dissecting tricky scenario questions: identifying key constraints ('most cost-effective', 'least operational overhead', 'lowest latency', 'highest availability'), and ruling out distractors.
Simulating actual 130-minute 65-question proctored exam conditions, in-depth question-by-question review, score gap analysis, and final revision cheat-sheets.
Hands-on architectural designs: 1. High-traffic global e-commerce with flash sale spikes, 2. Global video streaming CDN with DRM, 3. High-concurrency job portal with resume indexing and search.
Compliant cloud architectures: 4. Core banking system with multi-region zero-RPO failover, 5. HIPAA-compliant healthcare data platform, 6. PCI-DSS Level 1 compliant payment processing gateway.
Complex distributed architectures: 7. Airline reservation engine with distributed locking, 8. Global IoT telemetry ingestion with Kinesis/MSK, 9. Multi-tenant B2B SaaS platform with tenant data isolation.
Hands-On Capstone & Production Projects (2)
Build, test, and deploy real production repositories reviewed by your trainer for your engineering portfolio.
AWS Cloud Capstone — Enterprise Multi-AZ 3-Tier High-Availability Cloud Platform
Design, codify in Terraform, deploy, and defend an end-to-end enterprise cloud platform: Route 53 latency routing, CloudFront CDN, AWS WAF, multi-AZ VPC, containerized microservices on Amazon EKS, Aurora Global Database, ElastiCache Redis, SQS/SNS event streaming, centralized CloudWatch observability, CI/CD with GitHub Actions, and FinOps cost optimization audit.
Serverless Event-Driven Order Processing & Notification System
Build a serverless asynchronous order processing architecture using Amazon API Gateway, AWS Lambda, Amazon SQS FIFO queues, Amazon SNS for customer notifications, Amazon EventBridge, and DynamoDB.
🎯 Who Should Join
IT freshers, system administrators, backend developers, and cloud aspirants preparing for AWS Cloud Engineer roles and SAA-C03.
📋 Prerequisites
Basic understanding of computers and the internet. Cloud networking, CIDR subnetting, and IAM security are taught from scratch.
Frequently Asked Questions
Key details about course fees, live batch schedules, syllabus depth, capstone review, and certificate verification.
What is the fee and duration for AWS Cloud Computing Online Training? ↓
AWS Cloud Computing Online Training has an all-inclusive fee of ₹4,999 for 6 weeks (60 hours at 10 hours/week) of live instructor-led online classes, complete module-by-module lab source code, topic mock tests, AI viva practice, and capstone mentorship.
Does AWS Cloud Computing Online Training cover the complete syllabus and a real capstone project? ↓
Yes. You cover all 10 structured modules mastering AWS IAM & Organizations, Amazon VPC & Transit Gateway, EC2, ALB & Auto Scaling, Amazon S3, EBS & EFS, RDS, Aurora & DynamoDB, and build the hands-on capstone project (AWS Cloud Capstone — Enterprise Multi-AZ 3-Tier High-Availability Cloud Platform) with mentor code review and GitHub portfolio deployment.
How do I enquire or connect with the trainer before joining a batch? ↓
Click the "Enquire / Request Trainer Callback" button on this course page and submit your contact details. Our trainer will call you directly to walk through the complete syllabus, upcoming live batch timings, and capstone architecture.
Are topic-wise mock tests, AI interviews, and a completion certificate included? ↓
Yes. Every lesson includes 20+ calibrated topic mock tests plus live AI voice technical viva practice, and graduates receive a tamper-proof QR-verifiable Course Completion Certificate.
Enquire for Live Online Batch (₹4,999)
Get a direct call from the course trainer with upcoming batch timings, full syllabus PDF, and capstone overview.
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