Agentic AI with Amazon Bedrock

Summary

Building intelligent AI agents can feel overwhelming. Between Strands Agents SDK, retrieval-augmented generation (RAG), tool-calling, memory, and prompt engineering, it's hard to know where to start. This comprehensive 2-day course is your gateway: you'll go from zero to deploying your own functional, real-world agentic AI system using strands agent. You'll build an enterprise-ready AI assistant that:  

• Uses Strands Agents SDK to understand and respond to prompts  
• Implements core agent patterns including Reason, Plan, Action, and Reflection  
• Leverages memory and RAG for contextual intelligence 
• Includes enterprise-grade security and reliability features 
• Can be deployed on Agentcore Runtime with MCP server 

What you will learn?

• Build AI agents using Strands Agents SDK and Amazon Bedrock 
• Master Retrieval-Augmented Generation (RAG) implementation 
• Design function-calling prompts and implement core agent patterns 
• Apply AI Agent Design Patterns: Reason, Plan, Action, Reflection & Memory 
• Build and deploy secure solutions using MCP server on Agentcore Runtime 
• Design and implement multi-agent systems for enterprise use cases 
• Integrate AI agents with enterprise workflows and data pipelines 
• Understand Foundation Models (FMs) and how Bedrock integrates them 
• Explore AWS Bedrock features and capabilities 
• Design enterprise-grade AI Agent systems with proper security and scalability