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.