GOGoogle · on Google
Machine Learning Crash Course
Beginner 15 hours EnglishFREE
Our recommendation
A fast, free introduction to machine learning from Google, using the same material it uses internally. You cover core concepts — loss, gradient descent, overfitting — with hands-on TensorFlow exercises. Short and practical, but it assumes you can already code in Python.
Skills you'll gain
Machine learningTensorFlowRegressionNeural networksGradient descentPython
Is this course right for you?
A good fit if you…
You already code in Python and want an ML overview
You like hands-on exercises
You want a short, free starting point
Consider something else if you…
You are new to programming
You want deep maths and theory
You need a certificate
About this course
Machine Learning Crash Course (MLCC) is Google's own internal ML primer, opened up to the public for free. It's built around short video lessons paired with interactive coding exercises in Colab notebooks, rather than long-form lectures — you read a concept, then immediately apply it in a live notebook. The course covers the standard supervised-learning foundation: linear and logistic regression, classification, neural networks, and an applied module on real-world ML problems like fairness and production considerations.
What you'll learn
Understand core ML concepts: loss functions, gradient descent, and overfitting
Build and evaluate linear and logistic regression models
Understand the basics of neural networks and when to use them
Work hands-on with TensorFlow in Colab notebooks
Recognize common pitfalls: data bias, overfitting, and fairness issues
Apply ML thinking to real-world production problems
This course includes
15h
On-demand video
Yes
Mobile access
English
Language
What it costs
Free, with no paywall and no certificate. Google publishes it as an open resource.
Comparison · LBS
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Instructor
GA
Google AI Education Team
Google instructor
3M+ learners20 courses4.7 instructor rating
Developed and maintained by Google's AI Education team, drawing on internal training material Google uses to onboard its own engineers into applied machine learning.
About this provider
GO
Google
Free, self-paced courses and certificates from Google — Career Certificates, Digital Garage, and Machine Learning Crash Course.
Frequently asked questions
No formal certificate. You can earn a badge for each module by scoring 80% on its quiz, but it is a learning resource rather than a credential.
Familiarity with Python, NumPy and pandas, plus some algebra and statistics. Experienced programmers can usually manage the Python exercises even without prior Python.
Not really. It is an excellent first ML course, but you need at least basic coding — it is not for people new to programming.
Yes as a fast, practical introduction. It was built as Google's internal training and covers the core ideas well in about 15 hours.
Completely, with no paywall.
No. It is a strong first step on the fundamentals; you will want a deeper course and hands-on practice afterwards.