Machine Learning Crash Course
Machine Learning Crash Course is a self-paced online course delivered by Google for Developers. It is free, the provider does not state how long it takes, and does not award a credential.
FreeChecked on 7 October 2026
- Relevance to work
- 1.8 / 3
- Cost and access
- 2 / 2
- Provider
- 1.6 / 2
- Credential
- 0.3 / 1.5
- Currency
- 1.05 / 1.5
- Total
- 6.8 / 10
Provider learner rating: Not published by the provider
Key facts
| Cost | FreeFree on Google for Developers. No certificate is offered. |
|---|---|
| Time | Time not stated (not stated) |
| Level | Beginner to intermediate |
| Format | self-paced online |
| Prerequisites | Algebra, basic linear algebra and statistics, and Python with NumPy and pandas. Calculus is optional. |
| Credential | No credential |
| Open to | Worldwide |
| Free in | Worldwide |
| Content written for | Any country |
| Last checked | 2026-10-07 |
Topics:TechnicalCodingData and machine learning
Things to know
- No certificate
- Needs Python and some maths
- Total hours are not stated by Google
Summary
Google's own introduction to machine learning, from linear and logistic regression through neural networks, embeddings and large language models to production systems and fairness. It is hands-on and assumes some Python and maths, so it suits people moving from using AI to understanding how models are built.
Why it's listed
Builds Programming, number 19 on the World Economic Forum's Future of Jobs 2025 core skills list.
Also supports Analytical thinking.
From the course: Modules 'Linear regression'; 'Neural networks'; 'Datasets, generalisation and overfitting'
See how the AI Adaptation Profile treats ProgrammingYou will be able to
- Explain how regression and classification models learn from data
- Prepare numerical and categorical data and spot overfitting
- Describe how neural networks, embeddings and large language models work
- Recognise what it takes to run machine learning in production and to check it for fairness
Modules
- Linear regression
- Logistic regression
- Classification
- Numerical data
- Categorical data
- Datasets, generalisation and overfitting
- Neural networks
- Embeddings
- Introduction to large language models
- Production ML systems
- AutoML
- ML fairness
Who it suits
People with some Python who want to understand how machine learning models are built, from newcomers to practitioners refreshing the basics.
Who is behind it
- Delivered by
- Hosted on
- Google for Developers (developers.google.com)
- Funded by
- Not stated
- Partners
- Not stated
Related courses
- CS50 Python (CS50P)4.3
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- AI Fluency for Builders4.3
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- Building AI4.3
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Questions
Yes. It is free for anyone, anywhere in the world. Free on Google for Developers. No certificate is offered. Checked 7 October 2026 against the provider's own page.
Google does not state how long Google Machine Learning Crash Course takes.
No. Google does not award or state a certificate for Google Machine Learning Crash Course.
Google Machine Learning Crash Course is best for people with some Python who want to understand how machine learning models are built, from newcomers to practitioners refreshing the basics.
ApplyAI rates Google Machine Learning Crash Course 3.4 out of 5. Best for people with some Python who want to understand how machine learning models are built, from newcomers to practitioners refreshing the basics. Watch for: No certificate.
Sources
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