Master Amazon Bedrock Agents, CrewAI & AWS MCP: Build Production-Ready AI Agents and Enterprise GenAI Applications
Description
[NEW] Amazon Bedrock Agents and AI Agents – Complete Course :
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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.
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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.
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Then we will deep dive into Amazon Bedrock Agents and Multi-Agent framework.
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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)
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Next, we will build Use Case 2 – Enterprise Travel Agent (Multi-Agent) : A Enterprise Travel Agent using Amazon Bedrock Multi-Agent Orchestration Framework.
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Use Case 3 – Build Vacation Planner AI App using CrewAI framework and Bedrock
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Use Case 4 – Build an Infra Coding Agent using AWS MCP CloudFormation Server and Amazon Q CLI.
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Included a refresher lectures on GenAI, Bedrock and AWS Lambda which will be used in the course to build 2 use cases.
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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
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Section 1 – Course Introduction
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Section 2 – Evolution of AI Agents : Learn fundamentals about AI Agents such as Planning, Tools, Memory, Multi-Agent Framework
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Section 3 – AWS AI Agentic Framework Deep Dive – Amazon Bedrock Multi-Agent Frameworks : Learn about Amazon Bedrock Agents, Multi-Agent Orchestration Framework
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Section 4 – Use Case 1 – Hotel Booking Agent : Build a Hotel Booking Agent using Amazon Bedrock Agents, AWS Lambda and Amazon Bedrock Knowledge Bases
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Section 5 – Use Case 2 – Enterprise Travel Agent (Multi-Agent) : Build a Enterprise Travel Agent using Amazon Bedrock Multi-Agent Orchestration Framework.
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Section 6 – Use Case 3 – Vacation PlannerAI app using CrewAI framework and Bedrock
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Section 7 – Use Case 4 – Build an Infra Coding Agent using AWS MCP CloudFormation Server and Amazon Q CLI
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Section 8 – Refresher – Generative AI, Amazon Bedrock and Knowledge Bases
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Section 9 – Refresher – Basic Python, AWS Lambda and Boto3
Services Used in the Course :
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Amazon Bedrock Agents
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CrewAI
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AWS MCP CloudFormation Server
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Amazon Q CLI
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Amazon Bedrock Agents – Multi-Agent Orchestration Framework
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Amazon Bedrock Knowledge Bases
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Amazon Nova Foundation Model
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Claude Sonnet Foundation Model
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AWS Lambda
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AWS DynamoDB
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Open API Schema
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Streamlit
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Basics of Generative AI
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Everything related to AWS Amazon Bedrock
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S3
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Prompt design Techniques (Zero Shot, One Shot.) for Claude, Titan and Stability AI Foundation Models (LLMs)
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Python
Total Students | 3756 |
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Duration | 9.5 hours |
Language | English (US) |
Original Price | |
Sale Price | 0 |
Number of lectures | 70 |
Number of quizzes | 2 |
Total Reviews | 564 |
Global Rating | 4.597983 |
Instructor Name | Rahul Trisal |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
90% positive recent sentiment
Momentum
🔥 Trending
Time & Value
- Est. time: 9.5 hours
- Practical value: 8/10
Roadmap Fit
- Beginner → Intermediate → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Step By Step
- Hands On
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Step By Step
- Hands On
- Clear Explanation
- Well Structured
- Project
Watch-outs
- Missing project
Difficulty
Best suited for
Marketers with some platform experience, Doers who prefer project-led learning
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