Machine Learning Systems is a two-volume textbook about how machine learning systems are built, covering the engineering behind AI.
Machine Learning for Software Engineers
A daily study plan for people working toward becoming machine learning engineers.

About Machine Learning for Software Engineers
This GitHub repository hosts a multi-month daily study plan designed for software engineers, particularly self-taught practitioners without formal computer science degrees, to prepare for machine learning engineering roles. The plan uses a top-down, hands-on approach that minimizes required math for beginners, and includes curated resources such as books, MOOCs, Kaggle competitions, podcasts, and community recommendations. Translated versions of the plan are available in Brazilian Portuguese, French, Simplified Chinese, and Taiwanese Mandarin.
Key features
- Structured multi-month daily study plan for ML engineering roles
- Curated books, MOOCs, and video learning resources
- Recommendations for Kaggle competitions and practical projects
- Curated podcasts, communities, and industry conference lists
- Translated versions in 4 non-English languages
- Guidance tailored for self-taught engineers without CS degrees
- Top-down, hands-on approach minimizes required beginner math
- Tailored specifically for practicing software engineers
- Includes practical resources like Kaggle competitions and project guidance
- Explicitly described as a multi-year study commitment
- Source notes employers often do not accept MOOC-only training for ML roles
- Requires prior basic software engineering experience as a prerequisite
Machine Learning for Software Engineers at a glance
- Category
- Education & Learning › Learn to Code
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Machine Learning for Software Engineers FAQ
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