Generative AI for Beginners vs 
Made With ML
Generative AI for Beginners vs Made With ML compared for 2026 — features, license, ease of use, performance and which one to choose. Build generative AI apps, lesson by lesson vs From notebook to production system.
Updated regularly · curated by OpenSourceAI.tech
Generative AI for Beginners vs Made With ML at a glance
| Spec | Generative AI for Beginners | Made With ML |
|---|---|---|
| Category | Learn AI & machine learning | Learn AI & machine learning |
| Type | Course (21 lessons) | Course (MLOps) |
| License | MIT | MIT |
| Runs locally | Yes | Yes |
| Primary language | Python | Python |
| Ease of use | Beginner | Intermediate |
| Best for | developers who want to ship an LLM app, fast | the gap between a notebook and production |
| GitHub stars | 112.9k | 48.7k |
How Generative AI for Beginners and Made With ML score
| Criterion | Generative AI for Beginners | Made With ML |
|---|---|---|
| Popularity | 5.0 | 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
Generative AI for Beginners
Microsoft's 21-lesson course on building with generative AI: prompt engineering, RAG, agents, fine-tuning and responsible AI — each lesson with runnable code.
- The most practical GenAI course available free
- Covers RAG and agents, not just prompting
- Updated as the field moves
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
Generative AI for Beginners is course (21 lessons), while Made With ML is course (MLOps). Generative AI for Beginners leans more beginner-friendly, whereas Made With ML is more suited to intermediate users. In short, Generative AI for Beginners fits developers who want to ship an LLM app, fast, and Made With ML fits the gap between a notebook and production.
Which should you choose?
Choose Generative AI for Beginners for developers who want to ship an LLM app, fast. 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 Generative AI for Beginners or Made With ML easier to use?
Generative AI for Beginners is generally the easier of the two to get started with, while Made With ML rewards more setup with more control.
Are Generative AI for Beginners and Made With ML free?
Generative AI 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 Generative AI for Beginners and Made With ML locally?
Generative AI for Beginners: yes · Made With ML: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Generative AI for Beginners vs Made With ML — which should I pick in 2026?
Choose Generative AI for Beginners for developers who want to ship an LLM app, fast. Choose Made With ML for the gap between a notebook and production.
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