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mlsysbook
Machine Learning Systems is a two-volume textbook about how machine learning systems are built, covering the engineering behind AI.
About mlsysbook
Machine Learning Systems is a two-volume textbook about how machine learning systems are built, optimized, and deployed. It covers topics from a single machine to fleet-scale infrastructure. It is associated with Harvard University and MIT Press 2026, and was last updated in September 2026.
Volume I is titled Introduction to Machine Learning Systems and Volume II is Machine Learning Systems at Scale. Both volumes can be downloaded in HTML, PDF, and EPUB formats. The site also provides interactive labs using Marimo notebooks, a 20-module project called TinyTorch for building an ML framework, a tool called MLSys·im for performance modeling, and hardware kits for deploying to Arduino, Seeed, Grove, and Raspberry Pi.
The material suits students learning AI engineering and instructors teaching it. Instructors can use two-semester syllabi, a pedagogy guide, rubrics, a TA handbook, and 35 lecture slide decks with speaker notes. Career seekers can use StaffML for interview practice for ML systems roles.
Key features
- Two textbook volumes in HTML, PDF, and EPUB formats
- Interactive Marimo notebooks for exploring system trade-offs
- Twenty-module TinyTorch project to build ML framework
- MLSys·im tool for first-principles performance modeling
- Hardware kits for Arduino, Seeed, Grove, Raspberry Pi
- Instructor materials with syllabi, rubrics, and slide decks
Best for: Students learning ML engineering and instructors teaching AI systems courses benefit most.
Good for
- Full textbook available in HTML, PDF, and EPUB
- Includes labs, modeling tools, and hardware projects
- Provides syllabi, rubrics, and lecture slides
- Actively maintained with September 2026 update
mlsysbook at a glance
- Website
- mlsysbook.ai
- Category
- Education & Learning › Learn to Code
- Type
- Website
- Pricing
- Free
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Good for
- Students
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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mlsysbook FAQ
What does Machine Learning Systems cover?
It covers how ML systems are built, optimized, and deployed, from a single machine to fleet-scale infrastructure.
In what formats are the books available?
Both Volume I and Volume II are available as HTML, PDF, and EPUB downloads.
What hands-on resources does the site offer?
It offers Marimo notebook labs, the 20-module TinyTorch framework project, MLSys·im performance modeling, and hardware kits for Arduino, Seeed, Grove, and Raspberry Pi.
Does the site include materials for teachers?
Yes, it includes two-semester syllabi, a pedagogy guide, rubrics, a TA handbook, and 35 lecture slide decks with speaker notes.
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