AI Agents on AWS
Beginner's guide to building AI agents on AWS
Created by Bunny Kaushik, Mona M
Explore how to design, build, and deploy AI agents using AWS. You'll learn to create scalable agent systems that use tools, memory, and orchestration, moving from simple prototypes to reliable production deployments. The focus is on practical skills for building agentic AI that solves real-world tasks.
Packt | Apr 2026 | 294 min
What You Will Learn
You will start by understanding the basics of agentic AI, then get hands-on with building single-agent systems using AWS services like Bedrock and SageMaker. As you progress, you'll add memory, design multi-agent workflows, and learn how to deploy, scale, and monitor agents in real-world environments. Practical exercises guide you through each step.
Key Features
- Build AI agents with tools, memory, and orchestration on AWS
- Create multi-agent workflows and enable agent collaboration
- Deploy, monitor, and govern production-ready agents using Bedrock AgentCore
Target Audience
Ideal for AI engineers, machine learning engineers, cloud architects, and developers interested in building autonomous AI systems on AWS. If you have some experience with Python, APIs, and basic AI or machine learning concepts, you'll find the material accessible and actionable for advancing your skills in agentic AI.
