Complete AI Training
Sign inGet my AI kit

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

Certification

Certification in Building and Governing Equitable AI

Get certified in fair AI system design,build attrition models, audit bias and unequal errors, and implement governance that employers can trust for high-stakes, data-driven HR decisions.

Exam of 10 to 20 questionsCertificate for LinkedInIntermediate
IT and developmentHuman resourcesManagementExecutives and strategy
Take the exam

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.

Get certifiedAlready a member? Sign in

What the exam covers

2 questions from each of the 14 chapters of the course

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

  1. 01Getting started2:41
  2. 02Resources and case studies4:19
  3. 03Today's focus: unequal errors1:34
  4. 04Fairness, proxies and the confusion matrix1:33
  5. 05Fairness and decision thresholds8:48
  6. 06Proxies and correlation heat maps1:56
  7. 07Unequal error rates3:49
  8. 08Gender and age examples3:35
  9. 09Consequences and trade-offs4:03
  10. 10Causes of unequal errors4:26
  11. 11Case studies: under-representation and majority6:14
  12. 12Four reasons, part 15:28
  13. 13Weak inputs and biased labels4:26
  14. 14Wrap-up and mitigation preview1:43
About the course

The Build & Govern AI: Fix Bias and Unequal Errors video course takes you inside the full journey of building an AI system from scratch, showing you exactly where things go wrong and how to fix them. You'll gain practical skills like auditing models, uncovering hidden biases, and making smarter trade-offs,skills that lead to better decision-making, a future-proof career, and a real competitive advantage. If you want to build AI systems that work fairly and stand up to scrutiny, this course is worth your time.

This certification covers the following topics:

  • Defining Fairness in AI: Core Concepts
  • Understanding Unequal Error Rates
  • The Four Root Causes of Unequal Errors
  • Building an AI System from Scratch
  • Predicting Employee Attrition with Machine Learning
  • Uncovering Hidden Biases in Data
  • Auditing Models for Fairness
  • Making Hard Trade-offs in AI Governance
  • Documenting Governance Decisions
  • Your Action Plan for Equitable AI

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.

Diversity and Inclusion ManagersData ScientistsHR AnalystsMachine Learning EngineersCDOs (Chief Digital Officers)Chief Digital Officers (CDOs)CIOs (Chief Information Officers)Human Resources DirectorsVP of Human ResourcesData AnalystsStatisticiansAI Engineers