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Build a Personal Agent with AWS Bedrock, Terraform & AgentCore

Monday, September 14, 11 AM ET

Key Takeaways

  • Build an AI agent on AWS Bedrock that can retrieve data and take real actions.
  • Learn how to provision AI infrastructure on AWS using HashiCorp Terraform scripts.
  • Discover how Amazon AgentCore can automate browser-based tasks for your agent.

Your Presenter(s)

Matt Lea headshot

Matt Lea

Founder at Schematical

Matt Lea is the founder of Schematical, a consultancy helping CTOs and engineering teams build scalable, secure, and cost-efficient cloud infrastructure on AWS. With more than 15 years of experience in cloud architecture and DevOps, Matt also founded Cloud War Games, a hands-on incident response training platform. He is the creator of the on-demand course Zero to Hero on AWS Security: An Animated Guide to Security in the Cloud, and shares insights through coaching, speaking, and his own educational content.

Why this matters

AI agents are only as reliable as the infrastructure they run on. Many teams get stuck manually setting up cloud resources, which slows down every new agent project and makes it hard to reproduce results. Learning to provision that infrastructure as code, and giving an agent the tools it needs to act on your behalf, are quickly becoming must-have skills for anyone building on AWS.

In this code-along webinar, Matt Lea, Founder at Schematical, will show you how to build a personal AI agent on AWS Bedrock. You'll provision the underlying infrastructure with HashiCorp Terraform, connect the agent to a knowledge base for retrieval, and give it tools to take real actions, including automating browser tasks with Amazon AgentCore. By the end, you'll have a working agent and the Terraform scripts to build your own.

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