Aws Ai Agents - Complete Course [Hands-On]

Learn core AI Agentic Concepts, Build 2 Use Cases-Hotel Booking Agent and Travel Agent using Bedrock Multi-Agent Framew.

What you'll learn

Learn fundamentals about AI Agents such as Planning, Tools, Memory and Multi-Agent Framework

Deep Dive into AWS Agentic AI and Multi-Agent Frameworks - Learn about Amazon Bedrock Agents and Multi-Agent Orchestration Framework

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.

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

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 BasesNext, 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 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 - Refresher - Generative AI, Amazon Bedrock and Knowledge BasesSection 7 - Refresher - Basic Python, AWS Lambda and Boto3 Services Used in the Course :Amazon Bedrock AgentsAmazon Bedrock Agents - Multi-Agent Orchestration FrameworkAmazon Bedrock Knowledge BasesAmzon 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

Overview

Section 1: Course Introduction

Lecture 1 Course Introduction and Pre-Requisites

Lecture 2 General Tips and Content Download

Section 2: Evolution of AI Agents

Lecture 3 Shortcomings of the LLM based apps

Lecture 4 Overview of AI Agents

Lecture 5 AI Agents - Planning

Lecture 6 AI Agents - Planning (Hands-On)

Lecture 7 AI Agents - Tools and Actions

Lecture 8 AI Agents - Tools and Actions (Hands-On)

Lecture 9 AI Agents - Memory

Lecture 10 AI Agent - Memory (Hands-On)

Lecture 11 AI Agents - Guardrails and Communication

Section 3: AWS AI Agentic Framework Deep Dive - Amazon Bedrock Multi-Agent Framework

Lecture 12 Amazon Bedrock Agents - Overview

Lecture 13 Amazon Bedrock Agents - Console Walkthrough

Lecture 14 Amazon Bedrock Agents - How do Agents work ?

Section 4: Use Case 1 - Hotel Booking Agent

Lecture 15 Business Use Case - Hotel Booking Agent

Lecture 16 Use Case Solution Architecture

Lecture 17 Agent Creation

Lecture 18 Agent Integration with Knowledge Bases for Room Information

Lecture 19 Hotel Room Availability - Arch and DynamoDB creation

Lecture 20 Hotel Room Availability - Lambda Function Creation

Lecture 21 Hotel Room Availability - OpenAPI Schema and Integration with Agent

Lecture 22 Hotel Room Booking - DynamoDB Creation

Lecture 23 Hotel Room Booking - Lambda Creation : Part 1

Lecture 24 Hotel Room Booking : Lambda Creation - Part 2

Lecture 25 Hotel Room Booking - OpenAPI Schema Creation

Lecture 26 Hotel Room Booking - Agent & Lambda & Action Group Integration

Lecture 27 Agent Guardrails and Memory Setup

Lecture 28 Agent Version and Alias Deployment

Lecture 29 Streamlit UI Pre-Requisites

Lecture 30 Agent UI Deployment with Streamlit

Lecture 31 Final Demo

Section 5: Use Case 2 - Enterprise Travel Agent (Multi-Agent)

Lecture 32 Business Use Case

Lecture 33 Use Case Architecture

Lecture 34 Collaborator Agent 1 - HR Agent (Backend and Agent Creation)

Lecture 35 Collaborator Agent 1 - HR Agent (Lambda and Agent Integration)

Lecture 36 Collaborator Agent 1 - HR Agent (Bedrock KnowledgeBase)

Lecture 37 Collaborator Agent 2 - Hotel Room Booking Agent

Lecture 38 Supervisor Agent (Agent 3) - Enterprise Travel Agent

Lecture 39 UI using Streamlit for Enterprise Travel Agent (Multi-Agent)

Lecture 40 Final Demo - Enterprise Travel Agent (Multi-Agent)

Section 6: Refresher - Generative AI, Amazon Bedrock and Knowledge Bases

Lecture 41 What is Generative AI ?

Lecture 42 Amazon Bedrock - Introduction

Lecture 43 Prompt Engineering - Basics

Lecture 44 Prompt Engineering - Advanced

Lecture 45 RAG and Bedrock Knowledge Bases

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

Lecture 46 Basic Python Refresher - Part 1

Lecture 47 Basic Python Refresher - Part 2

Lecture 48 AWS Lambda Overview

Lecture 49 AWS Lambda - Invocation

Lecture 50 Python and Boto3 Overview

Anyone looking to learn about AI Agents and build Agentic AI apps using AWS Amazon Bedrock Multi-Agent Framework