AWS Developer Certification Training

Module 1: AWS Cloud Essentials

⏳ 3 hours

• Topics: Cloud computing fundamentals, AWS global infrastructure

• Hands-on: Launch your first EC2 instance and explore the AWS Management Console

Module 2: AWS Fundamentals

⏳ 3 hours

• Topics: Core AWS services overview, pricing models, and regions/endpoints

• Hands-on: Create and configure an S3 bucket, upload/download objects

Module 3: AWS Console & Usage

⏳ 3 hours

• Topics: Navigating the Console, resource tagging, cost monitoring

• Hands-on: Tag resources and set up a billing alarm in AWS Billing Dashboard

Module 4: AWS SDK & CLI

⏳ 3 hours

• Topics: AWS SDK setup, basic CLI commands, authentication methods

• Hands-on: Use AWS CLI to manage S3 and DynamoDB tables

Module 5: Monitoring & Metrics

⏳ 3 hours

• Topics: CloudWatch metrics, logs, alarms, and dashboards

• Hands-on: Create custom CloudWatch alarm and dashboard for an EC2 instance

Module 6: High Availability

⏳ 3 hours

• Topics: Load Balancers, Auto Scaling Groups, fault tolerance

• Hands-on: Configure an Auto Scaling group behind an Application Load Balancer

Module 7: Analysis & Data Management

⏳ 3 hours

• Topics: DynamoDB, RDS, Elasticache, and data migration strategies

• Hands-on: Provision a DynamoDB table and perform CRUD operations via SDK

Module 8: Security & Networking

⏳ 3 hours

• Topics: IAM roles/policies, VPC fundamentals, security groups, Cognito

• Hands-on: Create a VPC with public/private subnets and configure IAM roles

Module 9: Deployment & Provisioning

⏳ 3 hours

• Topics: CloudFormation templates, AWS CDK, blue/green deployments

• Hands-on: Deploy a sample stack using CloudFormation and update via CDK

Module 10: Big Data & Analytics

⏳ 3 hours

• Topics: Kinesis, Athena, Redshift, Glue, and data lake architectures

• Hands-on: Ingest data with Kinesis Data Streams and query via Athena

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