Edge AI Mastery Path¶

Mastery Path

BOOTCAMP

VINOD BHANUJA

A structured, module-wise Edge AI & TinyML training program that takes you from "what is edge inference?" to designing production-grade, master-level on-device machine-learning systems — training tiny models in Python, converting and quantizing them with TensorFlow Lite (LiteRT), and running them with TFLite-Micro on microcontrollers.

No hardware required to start. Every Level 1 module runs on a normal laptop: you train models with Keras, convert and quantize them with the TFLite converter, verify inference in Python, and even compile the microcontroller-style C++ inference code as a desktop program. Microcontroller deployment (ESP32/Arduino) is always shown as the follow-on step — and the Wokwi online simulator covers much of it in the browser.

How the program is organized¶

Level	Focus	Modules
Level 1 · Entry	The edge AI workflow end-to-end: train → convert → quantize → deploy, TFLite-Micro, sensors & features, a gesture-recognition capstone	9 topics + 1 capstone
Level 2 · Intermediate	Wake words, image classification on MCUs, Edge Impulse, pruning & distillation, ESP32-CAM projects	9 topics + 1 project
Level 3 · Advanced	NPUs & accelerators (Coral, Ethos-U), ONNX Runtime, streaming inference, compilers, model security	9 topics + 1 project
Level 4 · Master	Production edge fleets, OTA model updates, on-device learning, custom kernels & CMSIS-NN	9 topics + 1 capstone

How to use this site¶

Work through each level in order — later modules assume earlier ones.
Every Level 1 topic page has real, runnable code — Python you can run in any environment with TensorFlow installed, and C/C++ you can compile on your own machine before ever touching a board.
Each level ends with a project that combines everything learned in that level.
Use the search bar (top of the page) to jump straight to a topic.

New to machine learning itself? The AI & ML Mastery Path covers model training fundamentals. New to microcontrollers? The Embedded Systems Mastery Path covers Arduino/ESP32 basics. Neither is strictly required to start here.

Start here → Level 1 · Entry

🎥 Prefer video? Watch the Mastery Path video series on YouTube — Shorts and full walkthroughs of these lessons.