This lab provides you an opportutnityu to learn to build production-ready agentic AI applications using Amazon Bedrock and multi-agent collaboration systems. This comprehensive lab guides you through a complete path-to-production workflow: (1) business value modeling using interactive tools to justify AI implementations, (2) implementing a comprehensive data strategy across multiple AWS services, and (3) building and testing a complete multi-agent system for a coffee shop scenario. You'll create 5 specialized AI agents (Orders, Menu, Stores, Payments, Promotions) that work together under a supervisor agent, demonstrating how to design, build, and validate agentic AI solutions that handle complex business workflows through intelligent task orchestration and domain-specific expertise.
Lab - Build Production-Ready Generative AI Applications
Build in-demand skills with a full year of Coursera Plus, now $239. Save now.
Lab - Build Production-Ready Generative AI Applications
This course is part of AWS ML Engineer Associate Professional Certificate
Instructor: AWS Instructor
Included with Learn more
Gain insight into a topic and learn the fundamentals.
Advanced level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
November 2026
Taught in English
See how employees at top companies are mastering in-demand skills
Build your Machine Learning expertise
This course is part of the AWS ML Engineer Associate Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Amazon Web Services
There is 1 module in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Offered by
Explore more from Machine Learning
Amazon Web Services
Amazon Web Services
Amazon Web Services
Amazon Web Services
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
