Kyryl Opens ML

This mini-course, "Serving Advanced," is the sixth 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 advanced serving techniques. Mastering these advanced techniques is crucial for optimizing model performance, handling large-scale deployments, and ensuring reliability in production environments.

This mini-course is ideal for software engineers, ML professionals, tech switchers, and tech entrepreneurs interested in mastering advanced serving techniques for ML models, including deployment, advanced features, benchmarking, and scaling.

By the end of this course, you'll have a solid foundation in advanced serving techniques, including deploying models with advanced features, performing benchmarking to ensure optimal performance, and scaling infrastructure and models to handle high-load environments.

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

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 practice task, 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.