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Amazon Bedrock AI Agents - Masterclass
Rating: 4.6 out of 5(319 ratings)
1,583 students

Amazon Bedrock AI Agents - Masterclass

Build Intelligent AI Agents with Amazon Bedrock — Step-by-Step Guide to Tools, Lambdas, Function Calling, and Deployment
Last updated 6/2025
English

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

Course content

6 sections23 lectures2h 1m total length
  • Introduction3:07
  • Course Structure1:19
  • AWS Account Knowledge - Pre-reqs0:55

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 deployment

  • Streamlit for frontend integration

  • API-first development with Bedrock Agents

  • Enterprise-level orchestration patterns

This Course Includes:

  • Hands-on walkthroughs using the AWS Bedrock Console and APIs

  • Real code examples from AWS Labs and AWS serverless blogs

  • Integration with Knowledge Bases, tools, and external APIs

  • Complete source code and templates to build your own AI workflows

Who this course is for:

  • 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