🚨 Harvard just open sourced the entire textbook they use to teach Machine Learning Systems. It's called Machine Learning Systems (MLSysBook.)
A full, free textbook that covers everything from training models on a single GPU to deploying them at production scale.
This isn't a blog post. This isn't a YouTube playlist. It's the actual course material Harvard students use. Now anyone can access it.
Here's what's inside:
→ 15+ chapters covering the full ML systems lifecycle
→ 50+ hands-on lab exercises
→ A framework called TinyTorch that teaches you to build ML infrastructure from scratch
→ Real hardware labs on Arduino and Raspberry Pi
→ Data processing, model training, deployment, and monitoring
→ Volume I covers single-machine ML (1 to 8 GPUs)
→ Volume II covers distributed systems and production infrastructure
Here's the wildest part:
It comes with actual hardware kits. You don't just read about edge computing. You deploy models on real devices. Arduino, Raspberry Pi, and other edge hardware. Theory and practice in one place.
Over 100,000 students and educators have already used this material worldwide.
This is what people pay $60K/year in tuition to access.
It's completely free.