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Certification

Certification: RACE Prompt Framework

Prove you can use RACE in your own job: five written questions made for your work, scored by an AI examiner. Certificate for LinkedIn.

Written exam of 5 questions about your jobCertificate for LinkedInBeginner
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The exam

Take the certification exam

No multiple choice: five written questions about your own job, scored by an AI examiner against the course rubric. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

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What the exam covers

Written questions about your own job, across the 6 chapters

No multiple choice. You tell us your job and a real task; you get five open questions written for that job, such as writing a full prompt with the framework, fixing a weak prompt and choosing the right framework. An AI examiner (DeepSeek) scores each answer against the course rubric and explains the score. Pass with 70% or more.

  1. 01What RACE adds2:53
  2. 02Role and Action2:13
  3. 03Context: material and constraints2:47
  4. 04Expectation: list assumptions, show working, mark uncertainty2:22
  5. 05RACE versus RTF and RISEN2:07
  6. 06RACE in your job2:28
About the course

About this certification

This certification shows that you can use RACE in real work, not just recite the letters. It belongs to the course RACE Prompt Framework: Role, Action, Context, Expectation.

How the exam works

The exam has no multiple choice. You tell us your job and one real task. You then get five written questions made for that job: write a complete prompt with the framework, fix a weak prompt, choose the right framework for a situation, and explain why a part of the framework matters. An AI examiner (DeepSeek) scores each answer from 0 to 10 against the course rubric and explains the score. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button. You can retake it with new questions.

What you will be able to do

  • Write RACE prompts with a clear Role, Action, Context and Expectation
  • Use the Expectation slot to list assumptions and show working
  • Order long material first and the question last for better answers
  • Choose between RACE, RTF, RISEN and CO-STAR for different tasks
  • Add chain-of-verification steps when accuracy is critical
  • Build a reusable RACE template for a regular analysis task