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AWS Cloud Engineering Curriculum
A structured, phase-based curriculum from foundational cloud concepts to certification-ready expertise. Designed for real-world application.
6
PHASES
26
MODULES
32+
HOURS
30+
LABS
4
CERTS
32+ Hours
Live instructor-led training
3 Real Projects
Deploy on AWS infrastructure
4 Certifications
Exam guidance & strategy
Interview Prep
Resume & portfolio guidance
Phase 1
Cloud Foundations & AWS Basics
Cloud concepts, IAM, Global Infrastructure, Billing & Pricing
Establishes the essential foundation for all AWS learning. IAM and networking knowledge introduced here is referenced throughout every subsequent module.
Learning Objectives
- Understand cloud computing models and the AWS shared responsibility model
- Set up and secure an AWS account with proper IAM configuration
- Navigate the AWS Management Console and CLI
- Understand AWS pricing philosophy and manage billing proactively
Module 1Foundational
Cloud Computing Concepts
Cloud Computing Concepts
What is cloud computing
Cloud benefits & economics
On-premise vs cloud comparison
AWS shared responsibility model
IaaS, PaaS, SaaS models
Cloud migration strategies
Public, private & hybrid cloud
AWS global infrastructure intro
Module 2Critical Foundation
IAM (Identity & Access Management)
IAM (Identity & Access Management)
Users, Groups, Roles & Policies
Permission boundaries
IAM policy structure (JSON)
Service-linked roles
Root vs IAM user best practices
Access Analyzer
MFA setup & enforcement
IAM credential reports
Module 3Architecture Basics
AWS Global Infrastructure
AWS Global Infrastructure
Regions & Availability Zones
Data residency & compliance
Edge locations & CloudFront POPs
Local Zones & Wavelength Zones
Choosing the right region
AWS Outposts overview
Module 4Business-Critical
Billing, Pricing & Cost Management
Billing, Pricing & Cost Management
AWS pricing models overview
AWS Pricing Calculator
Cost Explorer & Budgets
Cost Allocation Tags
Reserved vs On-Demand vs Spot
Billing alarms & alerts
Savings Plans
Trusted Advisor cost checks
Phase 2
Core AWS Services
EC2, S3, RDS, VPC, Lambda & Serverless
Covers the most essential AWS services that form the backbone of virtually every cloud architecture. These services appear in every certification exam and every real-world deployment.
Learning Objectives
- Launch, configure, and manage EC2 instances and Auto Scaling groups
- Work with S3 for object storage, hosting, and lifecycle management
- Design and deploy relational and NoSQL database solutions on AWS
- Build secure, multi-tier VPC architectures
- Create serverless applications with Lambda and API Gateway
Module 5Core Service
EC2 (Elastic Compute Cloud)
EC2 (Elastic Compute Cloud)
Instance types & families
EC2 User Data & metadata
AMIs (Amazon Machine Images)
Auto Scaling Groups
Key pairs & SSH access
Load Balancers (ALB, NLB, CLB)
Security Groups & NACLs
Placement groups
Elastic IPs & ENIs
Spot & Reserved instances
Module 6Core Service
S3 (Simple Storage Service)
S3 (Simple Storage Service)
Buckets, objects & key structure
Static website hosting
Storage classes comparison
S3 Replication (CRR & SRR)
Versioning & MFA delete
Presigned URLs
Lifecycle policies
S3 Event notifications
Bucket policies & ACLs
Multipart uploads
Module 7Data Layer
RDS & Database Services
RDS & Database Services
RDS engines (MySQL, PostgreSQL, etc.)
Aurora (Serverless & Provisioned)
Multi-AZ deployments
DynamoDB fundamentals
Read replicas
ElastiCache (Redis & Memcached)
Automated backups & snapshots
RDS Proxy & connection pooling
Module 8Architecture Critical
VPC & Networking
VPC & Networking
VPC, subnets & CIDR blocks
VPN & Direct Connect
Internet & NAT Gateways
VPC Peering & Transit Gateway
Route tables
PrivateLink & VPC Endpoints
Flow Logs
Network Firewall
Module 9Core Service
Lambda & Serverless
Lambda & Serverless
Lambda functions & runtimes
Step Functions orchestration
API Gateway (REST & HTTP)
Lambda Layers
Event-driven architecture
DynamoDB Streams with Lambda
Lambda concurrency & limits
SAM & Serverless Framework
Phase 3
Advanced Services & Architecture
Containers, Messaging, Monitoring, IaC, Well-Architected
Moves beyond individual services into architectural patterns and production-grade tooling used by senior cloud engineers.
Learning Objectives
- Deploy and orchestrate containerized workloads using ECS and EKS
- Implement decoupled, event-driven architectures with SQS, SNS, and EventBridge
- Build comprehensive monitoring and observability solutions
- Apply the AWS Well-Architected Framework to real designs
- Automate infrastructure provisioning with CloudFormation and Terraform
Module 10Advanced
Containers (ECS, EKS & ECR)
Containers (ECS, EKS & ECR)
Docker fundamentals recap
EKS architecture
ECR container image registry
Kubernetes on AWS
ECS task definitions & services
App Mesh & service discovery
Fargate vs EC2 launch type
Container cost optimization
Module 11Decoupling
Messaging (SQS, SNS & EventBridge)
Messaging (SQS, SNS & EventBridge)
SQS Standard vs FIFO queues
EventBridge rules & patterns
Dead Letter Queues (DLQ)
Kinesis Data Streams
SNS topics & fan-out pattern
MSK (Managed Kafka)
Module 12Observability
Monitoring (CloudWatch & X-Ray)
Monitoring (CloudWatch & X-Ray)
CloudWatch Metrics & Alarms
CloudTrail audit logging
Log Groups & Insights queries
X-Ray distributed tracing
Custom metrics & dashboards
EventBridge automation
Module 13Architecture
AWS Well-Architected Framework
AWS Well-Architected Framework
Operational Excellence pillar
Performance Efficiency pillar
Security pillar
Cost Optimization pillar
Reliability & high availability
Sustainability pillar
Module 14Automation
Infrastructure as Code (CloudFormation & Terraform)
Infrastructure as Code (CloudFormation & Terraform)
CloudFormation stacks & templates
Terraform AWS provider
Parameters, mappings & outputs
State management & backends
Nested stacks & StackSets
AWS CDK
Terraform vs CloudFormation
Drift detection & remediation
Phase 4
DevOps, Security & Specializations
CI/CD, Security, Analytics, AI/ML, CDN, Capstone Project
Pipeline automation, security-first design, data services, and the capstone project that brings everything together.
Learning Objectives
- Build complete CI/CD pipelines using AWS developer tools
- Implement security controls, encryption, and compliance frameworks
- Design data pipeline and analytics architectures on AWS
- Deliver a complete, production-grade multi-tier application as a capstone
Module 15DevOps Core
CI/CD Pipeline (CodePipeline, CodeBuild & CodeDeploy)
CI/CD Pipeline (CodePipeline, CodeBuild & CodeDeploy)
CodeCommit repositories
Blue/Green & canary deployments
CodeBuild spec & build stages
GitHub Actions with AWS
CodeDeploy configurations
GitOps with ArgoCD on EKS
CodePipeline orchestration
Pipeline security best practices
Module 16Security
Security Deep Dive
Security Deep Dive
KMS & encryption at rest
Secrets Manager vs SSM
ACM (SSL/TLS certificates)
Cognito user pools & identity
WAF & Shield (DDoS)
AWS Organizations & SCPs
GuardDuty threat detection
AWS Config & compliance rules
Security Hub & Inspector
Compliance: SOC, PCI, HIPAA
Module 17Specialized
Data & Analytics Services
Data & Analytics Services
Amazon Redshift
Athena (SQL on S3)
AWS Glue ETL & Data Catalog
Kinesis Firehose & Analytics
EMR (Hadoop/Spark)
QuickSight BI dashboards
Data Lake architecture
Lake Formation governance
Module 18Specialized
AI & ML Services on AWS
AI & ML Services on AWS
SageMaker overview & use cases
Textract & Transcribe
Rekognition (image/video)
Lex (chatbot building)
Comprehend (NLP & sentiment)
Amazon Bedrock (foundation models)
Module 19Core Service
Route 53 & CloudFront CDN
Route 53 & CloudFront CDN
DNS routing policies
Origin Access Identity (OAI)
Health checks & failover
Lambda@Edge use cases
CloudFront distributions
AWS Global Accelerator
Module 20Full Production
Capstone Project
Capstone Project
Architecture diagram: 3-tier, HA across 2 AZs
Infrastructure as Code: Terraform or CloudFormation
CI/CD pipeline: code to production
Security review: WAF, GuardDuty, IAM, encryption
Monitoring: CloudWatch dashboards & alerting
Cost analysis & optimization recommendations
Live demo & presentation
Phase 5
Certification Preparation
Exam strategy, practice tests, gap analysis, final review
Dedicated exam strategy, question pattern recognition, and timed practice on top of the technical knowledge built in Phases 1 through 4.
Module 21Exam Prep
Diagnostic Mock Exam & Gap Analysis
Diagnostic Mock Exam & Gap Analysis
Full timed mock exam (65 questions)
Identify knowledge gaps
Detailed answer explanations
Personalized study plan
Domain-by-domain score analysis
Flagged question review
Module 22Exam Prep
Targeted Weak Area Review
Targeted Weak Area Review
High-yield topic flashcards
Scenario-based question practice
AWS whitepapers key summaries
Architecture anti-patterns
Top 10 exam service FAQs
Service comparison tables
Module 23Exam Prep
Advanced Mock Exams
Advanced Mock Exams
Mock exam 2: timed & tracked
Cost & performance trade-offs
Common trap question analysis
Mock exam 3: full simulation
Most appropriate vs correct approach
Target score: 85% or above
Module 24Exam Prep
Exam Day Strategy & Final Review
Exam Day Strategy & Final Review
Exam day logistics checklist
Flag-and-return method
Time management techniques
Rapid-fire final flashcards
Process of elimination strategy
Confidence-building exercises
Phase 6
Interview Preparation & Career Launch
Mock interviews, resume building, portfolio, job readiness
Dedicated career preparation covering everything from technical interview practice to resume optimization and portfolio development.
Learning Objectives
- Confidently clear AWS and cloud engineering technical interviews
- Build a professional resume tailored for cloud engineering roles
- Create a portfolio showcasing real AWS projects
- Understand hiring processes at product and service companies
Module 25Career
Technical Interview Preparation
Technical Interview Preparation
AWS scenario-based interview questions
System design interview basics
Behavioral interview preparation (STAR method)
Live mock interview sessions
Common cloud engineering interview patterns
Salary negotiation guidance
Company-specific preparation strategies
Interview feedback and improvement
Module 26Career
Resume Building & Portfolio Development
Resume Building & Portfolio Development
Professional resume writing for cloud roles
LinkedIn profile optimization
GitHub portfolio structuring
Project documentation best practices
Cover letter templates and guidance
Building your personal brand
Job search strategy and platforms
Networking tips for tech industry
Certification Tracks
AWS Cloud Practitioner
CLF-C02Foundational65 questions
★ Recommended
Solutions Architect Associate
SAA-C03Associate65 questions
Developer Associate
DVA-C02Associate65 questions
SysOps Administrator
SOA-C02Associate65 questions
Pricing
AWS Cloud Engineering Program
₹24,999₹30,000Save ₹5,000
Student Offer
₹3,999(ID Req)
- 6 Phases, 26 Modules of structured learning
- 32+ hours of live instructor-led training
- 3 real-world AWS deployment projects
- Interview preparation & resume building
- AWS certification exam guidance
- Course completion + internship certificate
Ready to begin?
Next batch starts April 29, 2026.
Enroll Now