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
Tạo tài khoản miễn phí của bạn
Luyện tập và Lộ trình tiến trình của bạn.
Tiếp tục với GoogleBằng cách tiếp tục, bạn chấp nhận Điều khoản sử dụng, Chính sách quyền riêng tư và việc dữ liệu của bạn được lưu trữ tại Hoa Kỳ.Liên quan
Hướng dẫn
Amazon Bedrock: A Complete Guide to Building AI Applications
Discover how to build generative AI applications using Amazon Bedrock. This step-by-step tutorial walks you through its features, setup, and optimization techniques.

Hướng dẫn
Terraform AWS Tutorial: Automating Agent Deployment on EC2
Learn how to automate AWS infrastructure with Terraform. Build EC2 instances with SSM agents, manage state in S3, and scale using modules.
Hướng dẫn
Amazon Lex Tutorial: A Beginner’s Guide to AI Chatbots
An introduction to building chatbots with Amazon Lex. Learn how to set up and configure a bot, use it with backend services, and deploy it on different platforms.



Session Resources
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