Build Production Ready AI Agents on AWS-Bedrock,CrewAI & MCP | Udemy [Update 09/2025]
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Build 4 Hands-On AI Agents on AWS - Amazon Bedrock, CrewAI & MCP. Learn Agentic AI, Tool Use, Memory & Multi-Agent

What you'll learn
Learn fundamentals about AI Agents such as Planning, Tools, Memory and Multi-Agent Framework
Deep Dive into Amazon Bedrock Agents - Learn about Amazon Bedrock Agents and Multi-Agent Orchestration Framework
Learn Basic Concepts of CrewAI
Build Use Case 1 - Hotel Booking Agent : Build a Hotel Booking Agent using Amazon Bedrock Agents, AWS Lambda and Amazon Bedrock Knowledge Bases
Build Use Case 2 -  Enterprise Travel Agent (Multi-Agent) : Build a Enterprise Travel Agent using Amazon Bedrock Multi-Agent Orchestration Framework.
Build Use Case 3 - Vacation Planner AI App using CrewAI Framework and Bedrock
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 AI Agents with Amazon Bedrock, CrewAI, and AWS MCP - A Complete Hands-On Course :

Welcome to the most comprehensive guide on AWS Amazon Bedrock Multi-Agent Framework, CrewAI & MCP from a practising AWS Solution Architect and best-selling Udemy Instructor.

This course will start from absolute basics on what is Agentic AI and core characteristics of AI Agents such as Planning, Memory, Tool Calling and Multi-Agent Communication.

Then we will deep dive into Amazon Bedrock Agents and Multi-Agent framework.

Next, we will build Use Case 1 - Hotel Booking Agent : A Hotel Booking Agent using Amazon Bedrock Agents, AWS Lambda and Amazon Bedrock Knowledge Bases (Using the Amzon Nova Model)

Next, we will build Use Case 2 -  Enterprise Travel Agent (Multi-Agent) : A Enterprise Travel Agent using Amazon Bedrock Multi-Agent Orchestration Framework.

Use Case 3 - Build Vacation Planner AI App using CrewAI framework and Bedrock

Use Case 4 - Build an Infra Coding Agent using AWS MCP CloudFormation Server and Amazon Q CLI.

Included a refresher lectures on GenAI, Bedrock and AWS Lambda which will be used in the course to build 2 use cases.

I will continue to update this course as the Agentic AI evolves to give you a detailed understanding and learning required in enterprise context, so that you are ready to switch careers.

Detailed Course Overview

Section 1 - Course Introduction

Section 2 - Evolution of AI Agents : Learn fundamentals about AI Agents such as Planning, Tools, Memory, Multi-Agent Framework

Section 3 - AWS AI Agentic Framework Deep Dive  - Amazon Bedrock Multi-Agent Frameworks : Learn about Amazon Bedrock Agents, Multi-Agent Orchestration Framework

Section 4 - Use Case 1 - Hotel Booking Agent : Build a Hotel Booking Agent using Amazon Bedrock Agents, AWS Lambda and Amazon Bedrock Knowledge Bases

Section 5 - Use Case 2 -  Enterprise Travel Agent (Multi-Agent) : Build a Enterprise Travel Agent using Amazon Bedrock Multi-Agent Orchestration Framework.

Section 6 - Use Case 3 - Vacation PlannerAI app  using CrewAI framework and Bedrock

Section 7 - Use Case 4 - Build an Infra Coding Agent using AWS MCP CloudFormation Server and Amazon Q CLI

Section 8 - Refresher - Generative AI, Amazon Bedrock and Knowledge Bases

Section 9 - Refresher - Basic Python, AWS Lambda and Boto3

Services Used in the Course :

Amazon Bedrock Agents

CrewAI

AWS MCP CloudFormation Server

Amazon Q CLI

Amazon Bedrock Agents - Multi-Agent Orchestration Framework

Amazon Bedrock Knowledge Bases

Amazon Nova Foundation Model

Claude Sonnet Foundation Model

AWS Lambda

AWS DynamoDB

Open API Schema

Streamlit

Basics of Generative AI

Everything related to AWS Amazon Bedrock

S3

Prompt design Techniques (Zero Shot, One Shot.)  for Claude, Titan and Stability AI Foundation Models (LLMs)

Python

Who this course is for:
Anyone looking to learn about AI Agents and build Agentic AI apps using AWS Amazon Bedrock Multi-Agent Framework and CrewAI

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