AWS

Week 1-2: Introduction to Cloud Computing & AWS

What is Cloud Computing? (IaaS, PaaS, SaaS)
Key benefits of Cloud Computing
Overview of AWS: What is AWS and its global infrastructure (Regions, Availability Zones)
Basic AWS Services (EC2, S3, IAM, VPC, RDS)
AWS Free Tier and Account Setup
Hands-on Lab: Setting up an AWS account, EC2 instance, S3 bucket, and VPC

Week 3-4: Networking and Security Concepts in AWS

Virtual Private Cloud (VPC) basics: Subnets, Route Tables, Internet Gateways, NAT Gateways
Security and IAM: User management, Groups, Roles, and Policies
Security Best Practices in AWS
Overview of EC2 (Elastic Compute Cloud)
Hands-on Lab: Creating and managing VPC, Security Groups, IAM Users/Groups

Week 5-6: EC2 (Elastic Compute Cloud) Deep Dive

EC2 instance types and pricing
Launching, configuring, and managing EC2 instances
Auto Scaling and Load Balancing (ELB)
Key pairs, Security Groups, and Elastic IPs
Hands-on Lab: Setting up EC2 instances, configuring Auto Scaling, Elastic Load Balancer

Week 7-8: AWS Storage Services

S3 (Simple Storage Service): Buckets, Objects, Lifecycle Policies, S3 Storage Classes
EBS (Elastic Block Store): Volumes, Snapshots, and use cases
EFS (Elastic File System): Mounting, use cases
Glacier: Data Archival and Retrieval
Hands-on Lab: Creating S3 buckets, working with EBS and EFS

Week 9-10: AWS Database Services

RDS (Relational Database Service): Instances, Backups, Snapshots
DynamoDB (NoSQL Database): Tables, Key-value stores, Provisioned and On-demand capacity
Aurora: High-performance relational DB
Hands-on Lab: Launching RDS, working with DynamoDB, exploring Aurora

Week 11-12: Monitoring and Management

Week 13-14: Advanced Networking Concepts

Week 15-16: Application and Deployment Services

Elastic Beanstalk: Application deployment, environment management
AWS Lambda (Serverless Computing)
API Gateway: Building APIs, integrating with Lambda
CloudFormation: Infrastructure as Code
Hands-on Lab: Deploying an app using Elastic Beanstalk, creating a serverless function with Lambda

Week 17-18: AWS DevOps and CI/CD Tools

CodeCommit, CodePipeline, CodeDeploy, CodeBuild
Deploying applications in a CI/CD pipeline
Infrastructure as Code with CloudFormation and Terraform
Hands-on Lab: Creating a CI/CD pipeline using CodePipeline, Automating infrastructure using CloudFormation

Week 19-20: High Availability and Disaster Recovery

Elastic Load Balancing (ELB) and Auto Scaling for HA
Multi-AZ and Multi-Region Deployments
AWS Backup and Disaster Recovery Options
Hands-on Lab: Configuring multi-availability zone (AZ) deployments, backup strategy using AWS Backup

Week 21-22: Review of All AWS Services

Revisit key AWS services: EC2, S3, IAM, VPC, RDS, Lambda, etc.
Study for the AWS Certified Solutions Architect – Associate exam
Practice with AWS Well-Architected Framework (Cost Optimization, Reliability, Performance, Security, and Operational Excellence)

Week 23-24: Mock Exams and Real-World Projects

Take practice exams for the AWS Certified Solutions Architect – Associate exam
Real-world project: Design a scalable, cost-effective, and secure infrastructure for a small business using AWS.
Review and refine areas of weakness based on mock exams

AWS Whitepapers – Refer to AWS whitepapers for deeper insights into best practices (e.g., AWS Well-Architected Framework, Security Best Practices).
AWS Training – Consider using AWS’s free training materials or paid courses from platforms like A Cloud Guru, Udemy, or LinkedIn Learning.
AWS Documentation – Frequently check the AWS Documentation for service-specific configurations, limitations, and updates.

Hands-on Practice: It’s essential to work with AWS hands-on as much as possible. Most of the services have free tiers that you can use for practice.
Time Commitment: Allocate 10-15 hours a week to cover the course material and do hands-on labs.
Exam Prep: Dedicate the last 2-3 weeks to reviewing practice questions, understanding key exam concepts, and addressing weak spots.