Learn to Build Machine Learning Systems That Don't Suck

A live, interactive course that will teach you from scratch how to design, create, and implement production-ready ML systems - without any fluff or academic drudgery.

This course is for those who want to solve real-world problems using AI and machine learning. Most ML courses are boring, overly academic, and do not teach how to bring a product to a real launch.

But this course is different. It is a practical, honest, and highly applied program that will give you all the skills needed to work with ML systems in production within just a few weeks.

After completing the course, you will:

• develop, build, and deploy a full end-to-end ML system;
• receive a proven plan for selling, planning, and delivering world-class projects - based on 30 years of practical experience;
• and come away with a toolkit that can be immediately applied in your work.

What will you learn?

This is a live and practical course focused on real machine learning. It's nothing like the "online courses" you've taken before:

• More than 20 hours of live interactive sessions where you will learn to create production-ready ML systems;
• Best practices for developing, evaluating, deploying, monitoring, and supporting systems in production;
• Full access to a step-by-step analysis of a complete ML system built from scratch;
• Training in "build once - deploy anywhere" principles using modern open-source tools;
• Lifelong access to all future course streams and a private community of thousands of students.

This course will completely change your perspective on machine learning.

No boring theory - only real strategies that work.