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
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Gen AI Dev- Implement Evaluation Systems for Generative AI
This course is part of AWS Generative AI Developer Advanced 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
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
Skills you'll gain
- Quality Assurance
- Artificial Intelligence and Machine Learning (AI/ML)
- Cloud Computing
- System Monitoring
- Software Quality Assurance
- Software Development
- Generative AI Agents
- Natural Language Processing
- Performance Measurement
- MLOps (Machine Learning Operations)
- Artificial Intelligence
- Verification And Validation
- Large Language Modeling
- Machine Learning
- User Acceptance Testing (UAT)
- Development Testing
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
September 2026
Assessments
1 assignment
Taught in English
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This course is part of the AWS Generative AI Developer Advanced Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 5 modules in this course
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