AWS AI Agents - Complete Course :

• Welcome to the most comprehensive guide on AWS Amazon Bedrock Multi-Agent Framework 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

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

• 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 - Refresher - Generative AI, Amazon Bedrock and Knowledge Bases

• Section 7 - Refresher - Basic Python, AWS Lambda and Boto3

Services Used in the Course :

1. Amazon Bedrock Agents

2. Amazon Bedrock Agents - Multi-Agent Orchestration Framework

3. Amazon Bedrock Knowledge Bases

4. Amzon Nova Foundation Model

5. Claude Sonnet Foundation Model

6. AWS Lambda

7. AWS DynamoDB

8. Open API Schema

9. Streamlit

10. Basics of Generative AI

11. Everything related to AWS Amazon Bedrock

12. S3

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

14. Python