References

To learn more:

Online Courses

• Harvard School of Engineering and Applied Sciences - CS249r: Tiny Machine Learning
• Professional Certificate in Tiny Machine Learning (TinyML) – edX/Harvard
• Introduction to Embedded Machine Learning - Coursera/Edge Impulse
• Computer Vision with Embedded Machine Learning - Coursera/Edge Impulse
• UNIFEI-IESTI01 TinyML: “Machine Learning for Embedding Devices”

Books

• “Python for Data Analysis” by Wes McKinney
• “Deep Learning with Python” by François Chollet - GitHub Notebooks
• “TinyML” by Pete Warden and Daniel Situnayake
• “TinyML Cookbook 2nd Edition” by Gian Marco Iodice
• “Technical Strategy for AI Engineers, In the Era of Deep Learning” by Andrew Ng
• “AI at the Edge” book by Daniel Situnayake and Jenny Plunkett
• “XIAO: Big Power, Small Board” by Lei Feng and Marcelo Rovai
• “Machine Learning Systems” by Vijay Janapa Reddi

Companion Volumes

These e-books form a series; the UNO Q and Raspberry Pi material is designed to be used together.

• “EdgeML Made Easy” by Marcelo Rovai — fixed-function AI on the Raspberry Pi Zero 2W and Pi 5. The companion volume to this book.
• “TinyML Made Easy: Nicla Vision” by Marcelo Rovai — the same computer vision tasks on a Cortex-M microcontroller.
• “XIAO: Big Power, Small Board” by Lei Feng and Marcelo Rovai

Arduino UNO Q

• Arduino UNO Q Documentation
• Arduino UNO Q Datasheet (ABX00162)
• Arduino App Lab Documentation
• Arduino Bridge (RPC) Reference
• Qualcomm Dragonwing QRB2210 Product Brief

Running Models Locally

• llama.cpp Repository
• llama.cpp HTTP Server Documentation
• llama.cpp Multimodal (mtmd) Documentation
• GGUF Format Specification
• Hugging Face GGUF Model Hub
• Unsloth Documentation — quantization and model guides

Training and Deployment Tools

• Edge Impulse Studio
• Edge Impulse Linux SDK for Python

Projects Repository

• Edge Impulse Expert Network

AIEng4D

Edge AI Engineering, an eBook in a series of Hands-On tutorials, is part of the AIEng4D (formerly TinyML4D) group, an initiative to make Embedded Machine Learning education available to everyone, explicitly enabling innovative solutions for the unique challenges Developing Countries face.