Welcome to the fifth part of this learning plan centered around the role and responsibilities of a generative AI professional developer.In this part, you will learn critical skills for ensuring reliable generative AI outputs. You'll learn to build evaluation frameworks measuring relevance and accuracy, implement testing methodologies like A/B testing and multi-model comparison, and develop user-centered quality assurance processes. The curriculum covers troubleshooting techniques for AI-specific
Gen AI Dev- Implement Evaluation Systems for Generative AI
Gen AI Dev- Implement Evaluation Systems for Generative AI
This course is part of AWS Generative AI Developer Advanced Specialization
Instructor: AWS Instructor
Access provided by National Research Nuclear University MEPhI
Gain insight into a topic and learn the fundamentals.
Advanced level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Assess generative AI outputs using metrics for relevance, factual accuracy, consistency, and fluency
Design quality assurance processes integrating continuous evaluation workflows and regression testing
Apply testing methods including A/B testing and multi-model comparison for output quality
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
Recently updated!
September 2026
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the AWS Generative AI Developer Advanced Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- 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
There are 5 modules 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
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."
Explore more from Data Science
Amazon Web Services
Amazon Web Services
Fractal Analytics
