Overview

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course provides a hands-on guide to deploying intelligent AI agents using Amazon Bedrock, taking you from foundational knowledge to building advanced AI workflows. You'll begin by familiarizing yourself with AWS account setup, the basic concepts of Amazon Bedrock, and the essential features of the platform. The course guides you step by step through the process of setting up and deploying AI agents, integrating knowledge bases, and using Lambda functions to enhance agent capabilities. The in-depth focus on Amazon Bedrock’s architecture and pricing ensures you fully understand how to optimize costs and build scalable solutions. The journey continues with a comprehensive exploration of Amazon Bedrock's agent structure, where you’ll gain insight into workflows, runtime operations, and action groups. You’ll have multiple opportunities to work hands-on, testing your understanding by developing a simple AI agent and progressing to a full-fledged web scraper agent in the Capstone Project. This practical experience ensures you develop the technical skills to confidently work with Amazon Bedrock. This course is ideal for those looking to explore AI agent deployment in a cloud environment. It is designed for individuals with prior AWS account knowledge and an interest in AI, cloud computing, and automation. Whether you're looking to start a career in AI or expand your technical expertise, this course equips you with real-world skills that are highly valuable in the evolving tech landscape. By the end of the course, you will be able to deploy and manage intelligent AI agents using Amazon Bedrock, navigate its console interface, optimize workflows, and build scalable AI applications for real-world use cases.

Syllabus

Introduction

In this module, we will introduce the course content, emphasizing the value of intelligent AI agents and their deployment using Amazon Bedrock. You'll explore the course structure and discover the key prerequisites, including setting up an AWS account, before diving into hands-on learning.

Amazon Bedrock Deep Dive

In this module, we will explore Amazon Bedrock's foundational features, focusing on its role in AI development. You'll dive into the platform’s key elements, including security protocols, pricing strategies, and a hands-on console walkthrough to prepare you for building with Bedrock.

Amazon Bedrock AI Agents – Deep Dive

In this module, we will explore the ins and outs of creating and deploying AI agents with Amazon Bedrock. You'll follow step-by-step tutorials to build your first agent, integrate a knowledge base, and expand functionality using action groups, Lambda functions, and more.

Capstone Project – Web Scraper Agent – Full Workflow

In this module, we will guide you through a comprehensive hands-on project, where you will build a fully operational web scraper agent. You'll learn how to configure the Bedrock console, deploy your agent, and create a frontend client to complete the project.

Wrapup

In this module, we will conclude your journey by reflecting on the skills you've acquired in deploying intelligent AI agents using Amazon Bedrock. Celebrate your achievements and prepare to apply your new knowledge in real-world scenarios.