ML for Beginners vs 
Made With ML
ML for Beginners vs Made With ML compared for 2026 — features, license, ease of use, performance and which one to choose. Microsoft's classic machine learning course vs From notebook to production system.
Updated regularly · curated by OpenSourceAI.tech
ML for Beginners vs Made With ML at a glance
| Spec | ML for Beginners | Made With ML |
|---|---|---|
| Category | Learn AI & machine learning | Learn AI & machine learning |
| Type | Curriculum (12 weeks) | Course (MLOps) |
| License | MIT | MIT |
| Runs locally | Yes | Yes |
| Primary language | Jupyter | Python |
| Ease of use | Beginner | Intermediate |
| Best for | anyone starting ML without a maths background | the gap between a notebook and production |
| GitHub stars | 88k | 48.7k |
How ML for Beginners and Made With ML score
| Criterion | ML for Beginners | Made With ML |
|---|---|---|
| Popularity | 4.5 | 4.0 |
| Maintenance | 5.0 | 4.0 |
| Ease of use | 5.0 | 3.5 |
| Privacy | 5.0 | 5.0 |
| License freedom | 5.0 | 5.0 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
What each one is
ML for Beginners
A 12-week, 26-lesson curriculum from Microsoft covering classical machine learning with scikit-learn, built around hands-on projects rather than theory dumps.
- Project-based: you build things from lesson one
- Quizzes and assignments, not just reading
- Available in dozens of languages
Made With ML
Goku Mohandas' course on taking ML from a notebook to a reliable production system: testing, CI/CD, monitoring, and the engineering most courses ignore.
- Covers the engineering that courses skip
- Testing, CI/CD and monitoring for ML
- Written by a practitioner, not an academic
Key differences
ML for Beginners is curriculum (12 weeks), while Made With ML is course (MLOps). ML for Beginners leans more beginner-friendly, whereas Made With ML is more suited to intermediate users. In short, ML for Beginners fits anyone starting ML without a maths background, and Made With ML fits the gap between a notebook and production.
Which should you choose?
Choose ML for Beginners for anyone starting ML without a maths background. Choose Made With ML for the gap between a notebook and production.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Frequently asked questions
Is ML for Beginners or Made With ML easier to use?
ML for Beginners is generally the easier of the two to get started with, while Made With ML rewards more setup with more control.
Are ML for Beginners and Made With ML free?
ML for Beginners is free and open source (MIT), and Made With ML is free and open source (MIT). Neither charges for the core software.
Can I run ML for Beginners and Made With ML locally?
ML for Beginners: yes · Made With ML: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
ML for Beginners vs Made With ML — which should I pick in 2026?
Choose ML for Beginners for anyone starting ML without a maths background. Choose Made With ML for the gap between a notebook and production.
People also compare
Explore more open-source AI
Browse thousands of open-source AI tools, models and projects — all curated in one place, updated daily.
Explore the directory →