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Strands Agents — AWS’s model-driven approach to AI agents

In this session, we’ll explore AWS’s Strands Agents SDK, its model-driven approach, core building blocks, and hands-on code demos, so you can see how little it takes to go from idea to a working agent on AWS.

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Agenda

  1. Why Strands Agents?
  2. Anatomy of a Strands Agent
  3. Demo
    Running pre-built demos showing how little code it takes to go from idea to working agent
  4. The AWS agentic AI ecosystem
    Amazon Bedrock integration, deployment options, MCP support
  5. Takeaways and Q&A

Key topics

  • the model-driven approach to building AI agents — how it works and how it differs from workflow-driven frameworks;
  • Strands Agent core components: Model, Tools, and Prompt, and how the agentic loop ties them together;
  • hands-on code walkthroughs: building a working agent from scratch, adding custom tools with the @tool decorator, and connecting to MCP servers;
  • how Strands integrates with AWS services like Amazon Bedrock, AWS Lambda, and Amazon Bedrock AgentCore for production deployment.

Speaker

Gracjan Strzelec

Gracjan Strzelec

AI Engineer

He builds real-world AI solutions that deliver real business value. He draws his experience from classical ML to LLM agents, RAG, and computer vision.

He has worked on AI systems deployed to production across various industries, combining cutting-edge techniques with a pragmatic, solution-driven mindset to meet real-world needs.

Amazon Bedrock

Amazon Bedrock

The platform for secure and private Generative AI services

Enter the world of generative AI with Amazon Bedrock — a fully managed service offering top of the line foundation models, including Amazon's own AI model lineup.

Thanks to its serverless design, Amazon Bedrock eliminates the complexity of running AI at scale, and lets you seamlessly integrate Generative AI into your applications using familiar AWS services, such as AWS Lambda or AWS Fargate — whether it's your first steps with AI, or you are already revolutionizing the market.

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