Foundational courses
The foundational courses cover machine learning fundamentals and core concepts.
We recommend taking them in the order below.
Introduction to Machine Learning
A brief introduction to machine learning.
Machine Learning Crash Course
A hands-on course to explore the critical basics of machine learning.
Problem Framing
A course to help you map real-world problems to machine learning solutions.
Data Preparation and Feature Engineering
An introduction to preparing your data for ML workflows.
Testing and Debugging
Strategies for testing and debugging machine learning models and pipelines.
Explore Advanced Courses
Take more ML courses to improve your knowledge and skills.