Educational Resources
A curated collection of materials for comprehensive machine learning systems education
An introductory textbook covering the full machine learning systems lifecycle, from data processing to model deployment and monitoring.
Build machine learning infrastructure from first principles: automatic differentiation, training loops, and distributed systems.
Educational hardware kits for hands-on experience with embedded machine learning and edge computing deployment.
Lecture slides, assignment templates, and assessment materials for educators teaching machine learning systems courses.
The Tiny Machine Learning Open Education Initiative democratizes access to embedded ML education through workshops and community collaboration.
Connect with students, educators, and researchers. Ask questions, share insights, and collaborate on ML systems education.
Educational Community
Supporting learners and educators in the machine learning systems field
Learners
Students, self-taught practitioners, and professionals expanding their ML systems knowledge through structured coursework and hands-on practice
Educators
University professors, corporate trainers, bootcamp instructors, and educational content creators teaching ML systems worldwide
Researchers
Academic researchers, industry scientists, and open-source contributors advancing ML systems education and real-world applications