What you'll learn:
- Learn fundamentals about AI Agents such as Planning, Tools, Memory and Multi-Agent Framework
- Project 1 – AnyCart Multi-Agent E-Commerce Application (LangGraph + Amazon Bedrock)
- Project 2 – Vacation Planner Multi-Agent AI App (CrewAI + Amazon Bedrock)
- Project 3 –Build FleetMate Application using AWS KIRO - Agentic AI powered Integrated Development Environment (IDE)
- Project 4 - Hotel Booking Agent : Build a Hotel Booking Agent using Amazon Bedrock Agents (Depreciated for new users)
- Project 5 - Build an Infra Coding Agent using AWS MCP CloudFormation Server and Amazon Q CLI.
- Learn Basic Concepts of CrewAI
- Learn Basic Concepts of LangGraph AI framework
- Learn basics of Model Context Protocol (MCP) and build Coding Agent with AWS Cloudformation MCP Server and Amazon Q CLI
- Detailed Refresher on Generative AI, Amazon Bedrock, Prompt Engineering and Knowledge Bases
- Refresher on Basic Python, AWS Lambda and Boto3
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.
