• views: 227
• date: 19 September 2025
• posted by: voska89

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
Requirements
Basic Knowledge of AWS Services. Knowledge of Amazon Bedrock and AWS Lambda will be nice to have but a refresher has been provided incase of lack of familarity of these services
Description
Build AI Agents with Amazon Bedrock Agents, CrewAI and AWS MCP - Complete Course :Welcome to the most comprehensive guide on AWS Amazon Bedrock Multi-Agent Framework and CrewAI 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 BedrockUse 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 OverviewSection 1 - Course IntroductionSection 2 - Evolution of AI Agents : Learn fundamentals about AI Agents such as Planning, Tools, Memory, Multi-Agent FrameworkSection 3 - AWS AI Agentic Framework Deep Dive - Amazon Bedrock Multi-Agent Frameworks : Learn about Amazon Bedrock Agents, Multi-Agent Orchestration FrameworkSection 4 - Use Case 1 - Hotel Booking Agent : Build a Hotel Booking Agent using Amazon Bedrock Agents, AWS Lambda and Amazon Bedrock Knowledge BasesSection 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 BedrockSection 7 - Use Case 4 - Build an Infra Coding Agent using AWS MCP CloudFormation Server and Amazon Q CLISection 8 - Refresher - Generative AI, Amazon Bedrock and Knowledge BasesSection 9 - Refresher - Basic Python, AWS Lambda and Boto3 Services Used in the Course :Amazon Bedrock AgentsCrewAI AWS MCP CloudFormation ServerAmazon Q CLIAmazon Bedrock Agents - Multi-Agent Orchestration FrameworkAmazon Bedrock Knowledge BasesAmazon Nova Foundation ModelClaude Sonnet Foundation ModelAWS LambdaAWS DynamoDBOpen API SchemaStreamlitBasics of Generative AIEverything related to AWS Amazon BedrockS3Prompt design Techniques (Zero Shot, One Shot.) for Claude, Titan and Stability AI Foundation Models (LLMs)Python
Anyone looking to learn about AI Agents and build Agentic AI apps using AWS Amazon Bedrock Multi-Agent Framework and CrewAI


Homepage

https://www.udemy.com/course/aws-ai-agents-complete-course-hands-on/

   
   
   

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