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.
Read more about the course
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.
Watch Online Learn to Build Machine Learning Systems That Don't Suck
| # | Title | Duration |
|---|---|---|
| 1 | 001 - Session 1 - How To Start (Almost) Any Project | 04:00:28 |
| 2 | 002 - Office Hours 1 | 02:33:54 |
| 3 | 003 - Session 2 - How To Build A Model (That Works) | 03:27:53 |
| 4 | 004 - Session 3 - How To Ensure Models Aren't Lying to Us | 04:35:05 |
| 5 | 005 - Office Hours 2 | 04:53:21 |
| 6 | 006 - Session 4 - How To Serve Model Predictions (In A Clever Way) | 03:09:03 |
| 7 | 007 - Session 5 - How To Monitor A Model (Drift Is Awful) | 02:54:41 |
| 8 | 008 - Office Hours 3 | 02:37:01 |
| 9 | 009 - Session 6 - How To Build Continual Learning Systems | 03:29:02 |
| 10 | 010 - Code Walkthrough - Introduction | 26:12 |
Read Book Learn to Build Machine Learning Systems That Don't Suck
| # | Title |
|---|---|
| 1 | session 1 |
| 2 | session 2 |
| 3 | session 3 |
| 4 | session 4 |
| 5 | session 5 |
| 6 | session 6 |
Similar courses to Learn to Build Machine Learning Systems That Don't Suck
Predictive Analytics & Machine LearningLunarTech
