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Courses/Cloud Computing/Master of AWS
Cloud ComputingBeginner Friendly⚡ Self-Paced Microlearning

Master of AWS

From Absolute Beginner to Principal Cloud Architect

The ultimate end-to-end curriculum — from zero to principal architect. Assumes zero prior knowledge. Every concept builds on the one before. Covers how computers and the internet work, storage, databases, distributed systems, every AWS service, security, observability, infrastructure as code, analytics and AI, and advanced system design. This isn't a product list — it's a knowledge tree.

✓Production code, diagrams & blueprints
✓Active recall flashcards & quizzes
✓Interactive decision incident simulations
✓Zero fluff • 100% practical depth
19
Total Lessons
13h 50m read
Course Duration
17
Curriculum Modules
Master of AWS
17 Modules • 19 LessonsMaster Edition
S
Sarah Chen
Principal Cloud Architect with 12+ years designing distributed systems at scale. Previously at AWS, now helping teams build resilient cloud infrastructure.
✓

What You Will Master

Actionable, high-leverage outcomes achieved upon completion

✓
Understand how computers, operating systems, and networks actually work at a fundamental level
✓
Design and implement production-ready VPC architectures with public and private subnets
✓
Configure and optimize EC2 instances for different workload patterns
✓
Build secure, scalable, event-driven architectures using AWS messaging and compute services
✓
Implement database strategies — relational, NoSQL, caching, and analytics — choosing the right tool for each job
✓
Design resilient systems with proper disaster recovery, backup, and multi-region strategies
✓
Apply security best practices across IAM, encryption, network security, and compliance
✓
Build complete CI/CD pipelines and infrastructure as code with CloudFormation and Terraform
✓
Architect systems that handle millions of users using distributed systems principles
✓
Think like a principal architect — understanding why behind every design decision, not just what button to click
📂

Course Curriculum Blueprint

17 structured modules • 19 comprehensive lessons

Course Faculty

S

Sarah Chen

Principal Instructor

Principal Cloud Architect with 12+ years designing distributed systems at scale. Previously at AWS, now helping teams build resilient cloud infrastructure.

Recommended Prerequisites

  • •No prior cloud experience needed. Start from Module 0.
  • •A computer you're comfortable using (any OS)
  • •An AWS account (free tier is sufficient — most modules don't need it)
  • •Curiosity about how things work under the hood

Core Topics

#AWS#Cloud#DevOps#Infrastructure#Networking#EC2#VPC#Architecture#Distributed Systems#Security
One-Time Enrollment
₹599
Lifetime Access
⚡Get Instant Access Now

Instant digital delivery • 30-day money back guarantee

1

Foundation: How Computers Work

Module 0 — The Machine. Start here if you don't know how a CPU works or what happens when you run a program.

📖
1.1

How Computers Actually Work

CPU, RAM, storage, binary, how programs run, operating systems, processes, memory management, file systems, I/O, and the ideas behind virtualization and containers.

ebook1h read
Locked
2

Foundation: Networking — The Backbone

Module 1 — How data moves across networks, from LANs to the internet.

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2.1

Networking: From LAN to the Internet

OSI and TCP/IP models, IP addressing, DNS, TCP/UDP, HTTP/HTTPS, load balancing, firewalls, VPNs, and private connectivity. Everything a cloud architect needs about networking.

ebook1h 10m read
Locked
3

Storage & Data Persistence

Module 2 — Block, file, and object storage. RAID, replication, backups, CAP theorem in storage.

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3.1

Storage Fundamentals

Block vs file vs object storage, RAID and erasure coding, replication and snapshots, RPO/RTO, CAP theorem applied to storage, and real-world storage performance metrics.

ebook50 min read
Locked
4

Databases

Module 3 — Relational, NoSQL, indexing, transactions, replication, sharding, and database internals.

📖
4.1

Databases: What Every Architect Must Know

Relational databases and SQL, indexing and query planning, ACID and transactions, OLTP vs OLAP, NoSQL families, data modeling, replication strategies, sharding, and database internals like WAL, buffer pools, and SSTables.

ebook1h 10m read
Locked
5

Distributed Systems: Core Theory

Module 4 — Why distribute? Consensus, replication, time and order, distributed transactions.

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5.1

Distributed Systems Core Theory

Why distribute — scalability, fault tolerance, latency. Logical clocks, consensus algorithms (Paxos, Raft), replication and consistency models, leader election, gossip protocols, distributed transactions (2PC, 3PC, sagas), and exactly-once semantics.

ebook55 min read
Locked
6

Data Engineering & Processing

Module 5 — Batch and stream processing, message queues, data pipelines, lakes, warehouses, and mesh.

📖
6.1

Data Engineering & Processing at Scale

Batch processing with MapReduce and Spark, stream processing with event time and watermarks, message queues and pub/sub, ETL vs ELT, data lakes and warehouses, medallion architecture, and table formats.

ebook50 min read
Locked
7

AWS Global Infrastructure & Core Services

Module 6 — The translation layer: every concept becomes an AWS service you recognize, not memorize.

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7.1

AWS Global Infrastructure and Core Services

Regions, AZs, edge locations. IAM deep dive. VPC architecture. EC2, EBS, EFS, S3, Glacier, CloudFront, Route 53. How these services map to the distributed systems concepts you already understand.

ebook1h 15m read
Locked
8

Compute & Containers on AWS

Module 7 — Elastic Load Balancing, auto scaling, ECS, EKS, Lambda, Step Functions, API Gateway.

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8.1

Compute & Containers on AWS

ALB, NLB, GWLB. Auto scaling strategies. ECS and Fargate, EKS and managed Kubernetes. Lambda deep dive — execution model, cold starts, concurrency. Step Functions and API Gateway.

ebook50 min read
Locked
9

Databases on AWS

Module 8 — RDS, Aurora, DynamoDB, ElastiCache, Redshift, Athena, and when to use each.

📖
9.1

Databases on AWS

RDS and Aurora — Multi-AZ, read replicas, failover. DynamoDB — partition keys, LSIs/GSIs, capacity modes, global tables. ElastiCache strategies. Redshift, Athena, Glue, and decision heuristics for choosing the right database.

ebook45 min read
Locked
10

Messaging, Streaming & Event-Driven Architecture

Module 9 — SQS, SNS, Kinesis, MSK, EventBridge, and orchestration patterns.

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10.1

Messaging, Streaming & Event-Driven Architecture on AWS

SQS standard vs FIFO, visibility timeouts, DLQs. SNS fan-out. Kinesis Data Streams and Firehose. MSK, EventBridge, AppSync. Orchestration with Step Functions and SNS+SQS patterns.

ebook45 min read
Locked
11

Security, Compliance & Resilience

Module 10 — KMS, Secrets Manager, CloudTrail, GuardDuty, WAF, disaster recovery, SCPs, network security.

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11.1

Security, Compliance & Disaster Recovery on AWS

KMS and envelope encryption, Secrets Manager, CloudTrail and Config, GuardDuty and Security Hub, WAF and Shield, disaster recovery strategies (backup/restore through active-active), SCPs and AWS Organizations, network security with VPC flow logs and NACLs.

ebook50 min read
Locked
12

Observability & Operations

Module 11 — CloudWatch, X-Ray, OpenTelemetry, cost management.

📖
12.1

Observability & Operations on AWS

CloudWatch metrics, logs, alarms, dashboards. CloudTrail for auditing. X-Ray for distributed tracing. AWS Distro for OpenTelemetry. Cost management with budgets, Cost Explorer, savings plans.

ebook40 min read
Locked
13

Infrastructure as Code & DevOps

Module 12 — CloudFormation, Terraform, CI/CD pipelines on AWS.

📖
13.1

Infrastructure as Code & DevOps on AWS

CloudFormation templates, stacks, change sets, StackSets. Terraform AWS provider — HCL, state, modules, workspaces. CI/CD with CodeCommit, CodeBuild, CodeDeploy, CodePipeline. Container CI/CD with ECR and ECS blue/green.

ebook40 min read
Locked
14

Analytics, ML & Generative AI

Module 13 — EMR, OpenSearch, QuickSight, SageMaker, Bedrock, AI services.

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14.1

Analytics, Machine Learning & Generative AI on AWS

EMR managed Hadoop/Spark. OpenSearch. QuickSight and SPICE. SageMaker pipelines. Bedrock — foundation models, agents, knowledge bases, guardrails. AI services: Comprehend, Rekognition, Transcribe, Polly.

ebook45 min read
Locked
15

Advanced System Design & Architecture

Module 14 — Architectural patterns: microservices, event-driven, CQRS, circuit breakers, multi-tenancy.

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15.1

Advanced System Design & Architectural Patterns

Monolith to microservices (strangler fig). API design — REST, gRPC, GraphQL. Event-driven architecture — choreography vs orchestration. CQRS and event sourcing. Idempotency, circuit breakers, bulkheads. Multi-region data sync and multi-tenancy models.

ebook55 min read
Locked
16

Full System Design Exercises

Module 15 — Put it all together. Design real systems and analyze real architectures.

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16.1

System Design Problems & Solutions

Design a URL shortener with global traffic. Design a food delivery app. Design real-time chat. Design a data lake platform. Design a high-availability payment system. Cost-optimized architecture case studies.

ebook40 min read
Locked
📄
16.2

The Meta-Prompt: Deep Dives on Any Topic

A powerful 14-section prompt template for getting an expert-level deep dive on any module or sub-topic in this curriculum. Use this to generate masterclass lessons on demand.

article10 min read
Locked
🎯
16.3

Black Friday Meltdown

Real-world crisis simulation: your startup's single EC2 instance is failing under Black Friday traffic. Diagnose bottlenecks, scale horizontally, and save the sale.

scenario15 min read
Locked
17

Knowledge Map & Challenges

Interactive concept graph showing how every topic connects, plus challenge scenarios to test your skills.

📄
17.1

Concept Graph: The Full AWS Knowledge Map

Interactive visual map of all 62 concepts across 16 modules, with prerequisite links and module grouping.

article5 min read
Locked