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Certification

Certification in Evaluating AI Models with Modern Frameworks

Get certified in modern AI evaluation frameworks and show you can design robust LLM evals, turn fuzzy AI features into measurable quality metrics, de-risk launches, and ship reliable, data-backed AI products your team can trust.

Exam of 10 to 20 questionsCertificate for LinkedInIntermediate

The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

What the exam covers

2 questions from each of the 15 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01Why evals matter now2:41
  2. 02What an eval is4:22
  3. 03Writing an eval3:02
  4. 04From QA to task thinking5:27
  5. 05Building an agentic eval3:17
  6. 06The cystic fibrosis eval4:22
  7. 07Running the variant file eval4:21
  8. 08Testing the agent5:35
  9. 09Congenital heart disease eval3:00
  10. 10A harder problem4:32
  11. 11Sample multiple times3:31
  12. 12Finding the model ceiling2:54
  13. 13It's all expertise2:57
  14. 14PM at Meta versus Google2:58
  15. 15Building a lab and closing3:57
About the course

"Modern AI Evaluation Frameworks: A Fast-Paced Course" is a focused video course that shows you how to turn vague "it seems to work" AI features into products you can actually ship with confidence , all in under 57 minutes. You'll gain practical evaluation skills that sharpen your decision-making, give you a real competitive advantage, and keep your career relevant as AI products get more complex. If you've ever felt stuck guessing whether your AI is good enough, this course gives you the tools to know for sure , and that's time well spent.

This certification covers the following topics:

  • Why AI Evals Became the Center of Gravity
  • Offline vs. Online Evals: Pre-Flight Checks and Reality Checks
  • The General Framework for Building AI Evals
  • Understanding Problems, Collecting Prompts, and Designing Scoring
  • Case Study: Clinical Genomics in the NICU
  • Sampling, Shots, and Variance
  • Using Evals Across the Product Lifecycle
  • Organizational and Cultural Dimensions of Evals
  • Practical Implementation: A Checklist for Your First Eval
  • Action Items for PMs, Engineering Teams, and Leaders
  • Critical Mistakes to Avoid
  • Evals in Creative and Subjective Domains

Jobs this certification suits

Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.