Agentic AI on AWS - LangGraph, CrewAI, Bedrock, Kiro & MCP

About this course

Build enterprise grade AI Agents on AWS with LangGraph, CrewAI, Amazon Bedrock, Kiro & AWS MCP | Hands-On

Welcome to one of the most comprehensive hands-on courses for building AI Agents on AWS using LangGraph, CrewAI, Amazon Bedrock, AWS MCP, Kiro, Amazon Q CLI, and Large Language Models (LLMs).

Whether you're an AWS Developer, Solution Architect, Software Engineer, or AI Engineer, this course will help you build production-style AI applications through real-world projects—not just theory.

The course is taught by a practicing AWS Solution Architect and best-selling Udemy Instructor with 17+ years of AWS experience, helping Fortune 500 customers build cloud and AI solutions.

What You'll Learn

You'll begin with the fundamentals of Agentic AI and gradually progress to building complete AI Agent applications.

Topics covered include:

• What is Agentic AI?
• AI Agent architecture and design patterns
• Planning and reasoning, Memory and Tool CallingLangGraph Agentic AI FrameworkCrewAI AI Framework

Amazon BedrockKiroQ CLI

Every concept is reinforced with practical coding exercises and real-world use cases.

Hands-On Projects

Project 1 – AnyCart Multi-Agent E-Commerce Application (LangGraph + Amazon Bedrock)Build a complete multi-agent e-commerce application using LangGraph.

You'll learn how to:

• Design AI workflows using graphs
• Build multiple collaborating agents

Integrate Amazon Bedrock

Implement recommendation tools

Build tool-calling agents

Orchestrate complex AI workflows

Project 2 – Vacation Planner Multi-Agent AI App (CrewAI + Amazon Bedrock)Build an enterprise-style AI Vacation

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