Agentic AI on AWS - LangGraph, CrewAI, Bedrock, Kiro & MCP (Udemy.com)

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 Calling

• LangGraph Agentic AI Framework

• CrewAI  AI Framework

• Amazon Bedrock

• Kiro

• Q 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 Planner using CrewAI.

Learn how multiple specialized AI agents collaborate to:

• Research destinations

• Create travel itineraries

• Generate personalized recommendations

• Produce professional travel reports

Project 3 – FleetMate using AWS Kiro

Build a real-world application using AWS Kiro, AWS's Agentic AI-powered IDE.

Learn how AI-assisted software development accelerates application delivery using specification-driven development.

Project 4 – Hotel Booking AI Agent (Amazon Bedrock Agents) -- > No longer available for new builders

Build a Hotel Booking Agent using:

• Amazon Bedrock Agents

• AWS Lambda

• Amazon Bedrock Knowledge Bases

• Amazon Nova Models

Important Note: Starting 1 August 2026, Amazon Bedrock Agents are no longer available for new customers. This project is retained for existing users who still have access and to help learners understand the evolution of AWS Agentic AI services.

Project 5 – Infrastructure Coding Agent using AWS MCP

Build an Infrastructure-as-Code AI Agent using:

• AWS MCP CloudFormation Server

• Amazon Q CLI

• Model Context Protocol (MCP)

Learn how AI agents can generate, understand, and automate AWS infrastructure.

Included Refresher Modules

If you're new to AWS Generative AI, don't worry.

The course includes refresher modules on:

• Generative AI fundamentals

• Amazon Bedrock

• AWS Lambda

These provide the foundation needed before building the hands-on projects.

Many learners ask which order they should take my AWS AI courses. Based on my experience working with enterprise customers, I recommend the following learning path.

Learning Path – Become an AWS Generative AI Developer or Architect

Hands-On Learning Path (Recommended)

These courses focus on building practical skills used in real-world projects.

1. Amazon Bedrock, Amazon Q & AWS Generative AI [Hands-On] (Beginner)

Start here if you're new to Generative AI and Amazon Bedrock.

You'll build a strong foundation before moving into AI Agents.

2. Build AI Agents on AWS with LangGraph, CrewAI, Amazon Bedrock, Kiro & AWS MCP (Intermediate)

This course focuses on designing and building Agentic AI applications using modern AWS services and frameworks.

Recommended after completing Course 1.

3. Amazon Bedrock AgentCore: Deploy AI Agents on AWS (Advanced)

Learn how to deploy, scale, secure, observe, and operate AI Agents in production using Amazon Bedrock AgentCore.

Recommended after completing Courses 1 and 2.

AWS Certification Learning Path

1. AWS Certified AI Practitioner (AIF-C01)

Recommended after completing Course 1 or alongside this course.

Outcome:

• Understand AWS Generative AI services

• Build confidence with AI concepts

• Prepare for and pass the AWS Certified AI Practitioner (AIF-C01) certification

2. AWS Certified Generative AI Developer – Professional Certification Course

This advanced certification course will help you prepare for the AWS Certified Generative AI Developer – Professional exam through comprehensive theory, architecture discussions, and hands-on examples.

I look forward to helping you build real-world AI Agents on AWS and advance your career in Generative AI and Agentic AI.