✅ Meet Your Instructor: Dr. Valeriy Manokhin

PhD in Machine Learning. Expert in Conformal Prediction. Architect of uncertainty-aware systems that power decision-making in global enterprises.

Dr. Valeriy Manokhin is a leading voice in the field of Conformal Prediction—an essential method for trustworthy AI. Trained under Professor Vladimir Vovk, the originator of Conformal Prediction, Valeriy combines deep theoretical expertise with practical insight.

He’s the creator of the widely acclaimed Awesome Conformal Prediction GitHub repository—starred over 6,000 times—and author of the hands-on guide Practical Guide to Applied Conformal Prediction in Python, a key resource for practitioners looking to integrate uncertainty quantification into real-world systems.

Valeriy’s research has been published in top-tier journals like Springer Machine Learning and JMLR, with over 330 citations to date. He regularly serves as a peer reviewer for major ML conferences and journals, helping shape the direction of the field.

Beyond academia, Valeriy is a proven Data Science leader. He has designed and delivered high-impact machine learning solutions for Fortune 500 companies, fast-growing startups, and global consultancies—unlocking multimillion-dollar savings and scalable business transformation through uncertainty-aware AI.

His work stands at the intersection of rigorous theory and real-world results—bringing academic precision into business-critical deployments.

In this course, you’ll gain not just tools and code, but a robust mindset for building production-ready AI systems that handle uncertainty and drive lasting value.

🔥 Enroll now to master Conformal Prediction—and future-proof your ML skills with a powerful edge in trustworthy AI.

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