AWS Workshops

Workshop 1: Generative AI Fine-tuning with Amazon SageMaker AI and Amazon Bedrock

 

Description: 

In this hands-on workshop, you'll learn how to customize foundation models to fit your specific business needs using Amazon SageMaker AI and Amazon Bedrock. You'll walk through the end-to-end process of fine-tuning large language models (LLMs), from setting up a prompt engineering playground in SageMaker Studio to deploying your customized model for inference. Whether you're looking to improve domain-specific accuracy, align outputs with your organization's tone, or build differentiated AI applications, this workshop gives you the practical skills to get started.

 

What You’ll Learn:

- Set up a prompt engineering playground on SageMaker Studio

- Customize foundation models using techniques like LoRA-based fine-tuning

- Deploy fine-tuned models to SageMaker endpoints for inference

- Evaluate and compare model performance against benchmark metrics

 

Benefits:

- Gain hands-on experience with the same tools used to build production-grade AI systems

- Learn how to differentiate your AI applications by training models on your own data and preferences

- Understand how fine-tuning can improve accuracy, reduce errors, and align model outputs with business objectives

- Walk away with a repeatable workflow you can apply to your own use cases immediately

 

Best For:  Data scientists, ML engineers, and developers who want to go beyond out-of-the-box models and build customized AI solutions.

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Workshop 2: Getting Started with Strands Agents

 

Description:

In this hands-on workshop, you'll learn how to build AI agents using the Strands Agents SDK, an open source Python framework developed by AWS. Strands takes a model-driven approach, meaning instead of hardcoding complex task flows, you leverage the native reasoning capabilities of large language models to handle planning and tool usage autonomously. You'll build agents that can plan, reason, and interact with external systems with minimal code.

 

What You'll Learn:

- Build AI agents using the Strands Agents SDK and Amazon Bedrock

- Implement tools that allow agents to interact with AWS services and external systems

- Understand model-driven agent architectures and how they differ from traditional workflow-based approaches

- Explore protocols like MCP and A2A for tool implementation and agent communication

 

Benefits:

- Get hands-on with one of the newest open source frameworks for building agentic AI applications

- Learn how to build autonomous agents with just a few lines of code

- Understand how to design agents that can reason, plan, and act independently

- Gain practical skills that are directly applicable to the rapidly growing field of agentic AI

- Walk away ready to build and deploy your own AI agents on AWS

 

Best For: Developers, software engineers, and builders who are curious about agentic AI and want to start building intelligent, autonomous applications.