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Udemy – Build Production Ready AI Agents on AWS-Bedrock,CrewAI & MCP 2025-9

Updated August 10, 2026 5.59 GB
Udemy – Build Production Ready AI Agents on AWS-Bedrock,CrewAI & MCP 2025-9

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Build Production Ready AI Agents on AWS-Bedrock,CrewAI & MCP, 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 Amazon Nova Model). Next, we will build Use Case 2 – Enterprise Travel Agent (Multi-Agent): An 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 are refresher lectures on GenAI, Bedrock and AWS Lambda which will be used in the course to build 2 use cases. The course will continue to be updated as Agentic AI evolves to give you a detailed understanding and learning required in enterprise context, so that you are ready to switch careers. Services used in the course include 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 for Claude, Titan and Stability AI Foundation Models, and Python.

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 an 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

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

Specificatoin of Build Production Ready AI Agents on AWS-Bedrock,CrewAI & MCP

  • Publisher : Udemy
  • Teacher : Rahul Trisal
  • Language : English
  • Level : All Levels
  • Duration : 9 hours and 18 minutes

Content on 2025-10

Build Production Ready AI Agents on AWS-Bedrock,CrewAI & MCP

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

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Build Production Ready AI Agents on AWS-Bedrock,CrewAI & MCP

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Subtitle : English

Quality: 1080p

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