Machine Learning Systems (mlsysbook.ai)

Harvard University and MIT Press have announced a comprehensive two-volume textbook titled “Machine Learning Systems,” set for release in 2026. This curriculum aims to equip learners with the foundational principles and practical skills necessary for building, optimizing, and deploying machine learning systems, scaling from individual devices to extensive infrastructures. Emphasizing hands-on learning, the curriculum offers a wide array of interactive labs, building exercises with TinyTorch, performance modeling via MLSys·im, and real-world deployment opportunities on platforms such as Arduino and Raspberry Pi. This initiative is significant for the AI/ML community as it addresses a growing demand for competent engineers who can effectively develop AI technologies. The textbook not only provides a solid grounding in AI engineering principles but also ensures accessibility through free and open educational resources. With additional tools for instructors, including two-semester syllabi and pedagogical guides, the program aims to democratize AI education and support the next generation of engineers who will shape the future of AI. This move underscores the belief that while AI is hailed as revolutionary, its true potential can only be realized through a robust understanding of its systems and frameworks.