Hands-On Labs & Demos You Should Explore

• DevOps & CI/CD Track

• “Build a Multi-Stage CI/CD Pipeline with AWS CodePipeline & CodeBuild”

Learn how to integrate GitHub, Jenkins, and Docker into AWS-native CI/CD pipelines. Perfect for validating your local Jenkins/Docker setup against AWS services.

• “Automating Infrastructure with Terraform on AWS”

A guided lab showing how to provision multi-cloud resources using Terraform, with AWS modules and best practices for state management.

• AI/ML & Automation Track

• “Agentic AI for Cloud Operations”

Hands-on demo of AWS Agentcore, where you build autonomous agents that monitor, patch, and remediate infrastructure issues automatically.

• “Synthetic Data Generation in AWS Clean Rooms”

Practice creating collaborative datasets for ML training without exposing sensitive data. Useful if you want to experiment with secure automation pipelines.

• Security & Observability Track

• “Closed-Loop Automation with AWS Systems Manager”

Lab on integrating monitoring, ticketing, and patch compliance into a single automated workflow — directly relevant to your interest in closed-loop automation.

• “Application Security in CI/CD”

Demo on embedding security scans into build pipelines using AWS Inspector and CodeBuild.

• Python & Containerization Track

• “Containerized Python Apps with AWS App Runner”

Deploy Python apps in Docker containers with minimal configuration, then integrate them into CI/CD pipelines.

• “Optimizing Dockerfiles for AWS Fargate”

Workshop on best practices for lightweight Docker images (Alpine Linux, multi-stage builds), which ties directly to your troubleshooting and optimization skills.

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