Build a Personal Agent with AWS Bedrock, Terraform & AgentCore

Matt Lea, Founder at Schematical, shows you how to build a personal AI agent on AWS Bedrock.

Matt Lea

2026년 9월 15일

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Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.

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.

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.