Kyryl Opens ML

This mini-course, "Experiments," is the third module of the comprehensive "Machine Learning in Production" course. While the full course covers all aspects of deploying and managing ML projects end-to-end, this mini-course focuses specifically on experiment management. Completing this mini-course gives you a strong foundation in managing experiments, which is essential for the broader topics covered in the full course.

This course is ideal for software engineers, ML professionals, tech switchers, and tech entrepreneurs interested in mastering experiment management and running experiments for ML projects.

A basic understanding of programming concepts and familiarity with machine learning principles are recommended to get the most out of this mini-course.

The course is designed to be completed in approximately 1.5 weeks. However, you can pace yourself according to your schedule and learning preferences.

No, you have access to the course materials indefinitely.

The course can be completed in about 8 hours total. You can choose to spread this out over a week or complete it in a single session, depending on your availability and learning style.

By the end of this course, you'll have a solid foundation in managing and running experiments for ML projects, including setting up experiment management systems and integrating CI/CD.

Don't worry! Our course comes with a supportive Discord community channel dedicated to homework help. Here, you can ask questions, seek guidance, and collaborate with fellow learners and the instructor. Additionally, for each homework assignment, we provide an example implementation to guide you through the process.

Yes, upon completing this course, you will receive a 70$ discount on the full "Machine Learning in Production" course. Use your email address as the promo code at checkout.