Workshops

Discover how to effectively implement generative AI in your business operations using Amazon Bedrock with Langfuse on AWS. While many organizations are enthusiastic about large language models (LLMs), successful integration into daily operations requires strategic planning and proper implementation.

Container Foundations on AWS is an entry level hands-on workshop for developers and architects who are new to containers. You will move through the full container lifecycle: building secure, optimized images; managing them in a registry with scanning and signing; supporting multiple CPU architectures including AWS Graviton; and deploying onto AWS. Optional modules cover automated build pipelines.

In this workshop, participants implement and configure AWS Direct Connect with DXGW/TGW, and connect an on-premises data center to AWS. They also implement hybrid DNS using Amazon Route 53 Resolver Endpoints. The target audience for this workshop is networking and infrastructure teams. This workshop expects a basic level of networking knowledge.

This workshop is a hands-on training program to develop serverless skills using AWS SAM and SAM CLI. It focuses on practical, code-centric learning with real-world scenarios, covering distributed event-driven architectures, messaging patterns, orchestration, and observability. Participants will use open-source tools, Powertools for AWS, and CI/CD. Available in Python, TypeScript, Java, or .NET.

A new version of this workshop has been published on Aug 6. Basic knowledge of AgentCore fundamentals is a prerequisite. Please complete the pre-work of pre-testing the workshop and identifying the right subset of samples for your audience. Use the materials in the workshop studio - videos, blogs and reading material to prepare before delivering or attending the workshop. Claude Code is configured with AWS documentation MCP servers as your learning partner.

This workshop provides hands-on experience in cloud computing basics, containers, High Performance Computing (HPC), and AI/Machine Learning for researchers and research IT staff with little to no cloud computing background.

Hands-on workshop exploring Amazon OpenSearch Service through independent lab modules. Build full-text search queries, use observability tools to troubleshoot a microservices application, and construct AI-powered search experiences using semantic, hybrid, and conversational search with Amazon Bedrock. Each module is self-contained — pick the topics most relevant to you.

We build production-ready IDP platforms on Amazon EKS, combining CNCF tools with AWS services. Explore hands-on experience with Amazon Q Developer, managed databases, Backstage, ArgoCD, Crossplane, and OAM. Learn to accelerate platform adoption using GenAI-powered tools and automated delivery pipelines. Built on EKS Blueprints and CNOE, our solution enables modern cloud-native development on AWS. There is also a 2hour version :Accelerate platform engineering on Amazon EKS (CON401)

Discover Kiro, your IDE build from the ground-up to seamlessly integrate AI agents into the development workflow. Explore how to use Kiro as your intelligent partner - helping to understand complex codebases, crystalize detailed requirements, and deliver quality solutions at unprecedented speed. You will iterate with Kiro to finalize your detailed design, before using Kiro to orchestrate AI agents and implement a fully working solution

Turn plain English into specs, working code, and tests — reviewing every step. Build a real app hands-on with Kiro, Amazon's AI-native dev agent, on your surface of choice: IDE, CLI, or IntelliJ. Go from chat-driven edits to full spec-driven development, then steer the agent with skills, MCP, custom agents, and hooks. No backend to deploy — it runs in your browser. ~4 hours, modules stand alone. For developers, from first-timers to automation power users.