Our mission is to expand global access to AI systems education through open-source tools, hands-on learning, and a deep focus on real-world engineering.

Our collective is dedicated to widening access to high-quality education in AI engineering globally by developing and maintaining "Machine Learning Systems: Principles and Practices of Engineering Artificially Intelligent Systems," an open-source textbook and hands-on learning platform.

What began as a Harvard course has evolved into a global movement, with tools like the Tiny🔥Torch minimalist ML framework and TinyML kits empowering students to learn by building real AI systems.

Our content teaches core engineering concepts in AI systems, including data collection, model design, optimization, and deployment, through a systems-first lens. Students learn systems thinking. Our materials are already being used in university courses, workshops, and self-guided programs worldwide.

These resources are already in use in university classrooms, online programs, and workshops worldwide, with a special focus on supporting educators and learners in underrepresented and under-resourced communities. Everyone deserves the opportunity to understand and develop intelligent AI systems.

We will always keep everything free, open-source, and globally inclusive.

Your support helps us:

Develop new learning units and kits
Sustain open infrastructure
Fund contributors and educators globally
Expand access across the Global South and beyond

By joining this collective and supporting our workshops and mission, you’re helping democratize AI engineering education — one learner, one lab, and one chapter of the ML Systems book at a time.

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