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Certification

Certification in Leading AI Product Development

Become certified in AI Product Management and prove you can own AI products end-to-end. You'll know how to select models, build evals, set guardrails, and manage the economics,skills that show up in interviews and real roadmaps.

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. 01Welcome4:08
  2. 02Agenda2:21
  3. 03The AI PM mindset2:36
  4. 04Probabilistic versus deterministic3:52
  5. 05AI applications versus AI PM3:28
  6. 06AI-native versus AI-feature PMs4:44
  7. 07The AI stack4:40
  8. 08Responsible AI and guardrails4:39
  9. 09Tokenization4:38
  10. 10Embeddings4:38
  11. 11Positional encoding2:18
  12. 12Self-attention6:52
  13. 13Probability and temperature7:53
  14. 14Top-p and top-k sampling5:42
  15. 15Q&A and wrap-up7:14
About the course

The Job-Ready AI Product Management Bootcamp | Product Space (Video Course) is a hands-on certification built for product managers who want to actually ship and own AI products, not just speak in buzzwords. You'll build practical skills that drive increased productivity, sharper decision-making, real competitive advantage, and a future-proof career with higher income potential, adaptability, and long-term growth. If you're serious about owning AI products end-to-end,from model selection and evals to guardrails and real business impact,this bootcamp is a straightforward way to get there and a strong signal to employers.

This certification covers the following topics:

  • Probabilistic vs. deterministic product thinking and the mindset shift required for AI product management
  • Distinguishing AI-assisted work from true AI product management and ownership
  • Mapping the AI product role landscape across native, feature, and core AI products
  • The modern AI stack and the essential technical fluency PMs need to be job-ready
  • How large language models work, including the end-to-end generation pipeline
  • Model selection, evaluation strategies, and defining success metrics for AI features
  • Designing guardrails, safety layers, and responsible AI practices as core product requirements
  • Economic modeling, cost structures, and operational trade-offs for AI products in production
  • Experimentation, A/B testing, and data-driven decision-making for AI-powered experiences
  • Job-ready artifacts, interview preparation, and career positioning for AI product roles

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.