Amazon Bedrock Ai Agents - Masterclass

Build Intelligent AI Agents with Amazon Bedrock — Step-by-Step Guide to Tools, Lambdas, Function Calling, and Deployment

What you'll learn

Hands-on walkthroughs using the AWS Bedrock Console and APIs

Integration with Knowledge Bases, tools, and external APIs

Deploy a full Agentic Workflow and expose to a Client App

Amazon Bedrock Agents best practices

Requirements

AWS Services Fundamentals

Have an AWS Account

Programming Fundamentals

Description

Unlock the full potential of Amazon Bedrock Agents and learn how to build scalable, intelligent AI-powered applications—from concept to production.This course is a hands-on, practical guide for developers, architects, and technical product managers looking to integrate advanced orchestration capabilities into their applications using Amazon Bedrock's Agent framework.What You’ll Learn:What Amazon Bedrock Agents are and why they’re changing how we build intelligent applications.How to set up Bedrock Agents using both the AWS Console and the full API.How to decompose user queries into steps, use Knowledge Bases (KBs), invoke actions, and manage dynamic flows using Agents.Full walkthrough of the Bedrock Agent API—including invoking Agents from client applications like Streamlit.Deep dive into multi-agent orchestration, advanced use cases, and best practices.Final capstone project: Build and deploy a production-ready enterprise chatbot that integrates documents, databases, and APIs.Advanced integration with Lambda, guardrails, traces, and action groups.Gain the skills to automate business workflows, build internal tools, and power customer-facing apps with dynamic, AI-driven capabilities.Tools & Technologies Covered:Amazon Bedrock (Agents, KBs, API)AWS Lambda, SAM, and Serverless deploymentStreamlit for frontend integrationAPI-first development with Bedrock AgentsEnterprise-level orchestration patternsThis Course Includes:Hands-on walkthroughs using the AWS Bedrock Console and APIsReal code examples from AWS Labs and AWS serverless blogsIntegration with Knowledge Bases, tools, and external APIsComplete source code and templates to build your own AI workflows

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Course Structure

Lecture 3 AWS Account Knowledge - Pre-reqs

Section 2: Source Code and Resources

Lecture 4 Source Code and Resources

Section 3: Amazon Bedrock Deep Dive

Lecture 5 Amazon Bedrock Deep Dive - What is It and Benefits

Lecture 6 Amazon Bedrock Key Features and Security Privacy and Safety

Lecture 7 Amazon Bedrock Pricing

Lecture 8 Hands-on: Amazon Bedrock Console Walkthrough - Playground

Lecture 9 Hands-on - Generate Images

Section 4: Amazon Bedrock AI Agents - Deep Dive

Lecture 10 Amazon Bedrock Agent Deep Dive - Basic Workflow

Lecture 11 Detailed Flow of Bedrock Agent - Full Overview

Lecture 12 Hands-on: Build our First Amazon Bedrock Agent - Simple Agent

Lecture 13 Hands-on: Adding Knowledge Base and Testing It

Lecture 14 Hands-on: Action Groups - Adding a Lambda Function

Lecture 15 Amazon Bedrock Agent and Action Groups - Architectural Overview

Lecture 16 Amazon Bedrock Agent Architectural Overview and Animation

Lecture 17 Build-time vs Runtime Operations - Overview

Lecture 18 Amazon Bedrock Agents - Creation Process & Benefits

Section 5: Capstone Project - Web Scraper Agent - Full Workflow

Lecture 19 Hands-on: Scraper Agent - Console Setup

Lecture 20 Hands-on: Create an Agent Alias - Agent Deployment

Lecture 21 Final - Scraper Agent Frontend Client

Section 6: Wrapup

Lecture 22 Congratulations

Developers and software engineers looking to integrate LLM-based agents into real apps,Solution architects building AI orchestration systems on AWS,Anyone curious about building intelligent tools using generative AI, function calling, and multi-agent systems