Ml.School – Learn to Build Machine Learning Systems That Don’t Suck 2025-4

Learn to Build Machine Learning Systems That Don’t Suck is a course on building robust, scalable, and reliable machine learning systems published by the Ml.School online academy. It’s a hands-on course that focuses on helping developers and data scientists move beyond theory to build robust, scalable, and reliable machine learning systems in real-world environments. Rather than teaching models and algorithms, this course dives deep into the architecture, data pipelines, model deployment, testing, and monitoring required to get ML working in production. You’ll learn to balance model accuracy with maintainability, performance, and user impact – bridging the gap between research and real-world applications.

This program is different. It’s a hands-on, no-nonsense, hands-on program that teaches you the skills you need to build production systems in weeks, not months. You’ll walk away with an end-to-end machine learning system designed, built, and deployed, plus a guidebook for selling, planning, and delivering world-class work backed by 30 years of real-world experience.

What you will learn in Learn to Build Machine Learning Systems That Don’t Suck:

• You will discover best practices for building, evaluating, implementing, monitoring, and maintaining systems in production
• You will have hands-on access and complete knowledge of an end-to-end machine learning system built entirely from scratch
• You will learn how to build systems once and deploy them anywhere using advanced techniques and open source tools
• You will enjoy lifetime access to any future cohort and a private community where you can collaborate with thousands of students like you
• And…

Course specifications

Publisher: Ml.School
Instructors: Santiago Valdarrama
Language: English
Level: Introductory to Advanced
Number of Lessons: 35
Duration: 16 hours and 52 minutes

Course topics

Learn to Build Machine Learning Systems That Don’t Suck Prerequisites

This program is not an introduction to machine learning.

While we’ll discuss many fundamental ideas behind machine learning, beginners will find the sessions go much faster than what’s optimal for them.

Pictures

Learn to Build Machine Learning Systems That Don’t Suck introduction video

Installation guide

After Extract, watch with your favorite Player.

Subtitle: None

Quality: 1080p

Download link

Download Part 1 – 2 GB

Download Part 2 – 2 GB

Download Part 3 – 1 GB

Size

5 GB