Cohort 2

Learn about, deep dive into and get hands-on experience with Conformal Prediction techniques for quantifying uncertainty in machine learning


Valeriy Manokhin

PhD, MBA, CQF


Applied Conformal Prediction

Stanley Black &amp; Decker

Joining the 'Applied Conformal Prediction' course will propel students beyond mere comprehension of machine learning concepts to mastery in applying Conformal Prediction techniques. This transition empowers students to elevate the reliability and interpretability of their machine learning models, thereby enhancing the trustworthiness and effectiveness of their AI solutions in real-world, industry-specific scenarios. Engage in collaborative learning within a supportive cohort of fellow students. Through sharing feedback, exchanging ideas, and fostering lasting connections, participants will benefit from a dynamic and enriching educational experience.

What you will learn


Intermediate-level machine learning practitioners seeking to broaden their skill set with advanced techniques in uncertainty quantification.

Data scientists and analysts in industries where precision and reliability of predictions are crucial, such as finance, healthcare etc.

Machine learning engineers looking to implement more transparent and trustworthy models in their applications.

Who is this course for

What you’ll get out of this course

By the end of the course, students will be able to comprehend the principles of Conformal Prediction and its significance in fostering the development of reliable AI systems.

Master Conformal Prediction, a very popular and fast-growing machine learning  framework for uncertainty quantification 


Discover how to enhance your machine learning models with Conformal Prediction. You'll learn to apply this technique for more reliable and interpretable predictions, equipping you with the skills to improve decision-making and solution effectiveness across various industries.

Apply Conformal Prediction to maximize the effectiveness of your solutions 


Navigate the landscape of Conformal Prediction frameworks in our focused course. Gain the ability to distinguish between, understand, and effectively apply different Conformal Prediction methods to elevate the precision and trustworthiness of your machine learning models.

Learn about, differentiate between and apply various Conformal Prediction frameworks.


Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

What people are saying

Meet your instructor

Monday & Wednesday 


Weekly projects

Course schedule

This course builds on live workshops and hands-on projects

Active hands-on learning

You’ll be interacting with other learners through breakout rooms and project teams

Interactive and project-based

Join a community of like-minded people who want to learn and grow alongside you

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About this course

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