Welcome to the TinyML & Edge AI Trainer

A structured browser course aligned with the TinyML & Edge AI curriculum: embedded constraints, the end-to-end deployment pipeline, compression and efficient architectures, audio and vision on microcontrollers, profiling, advanced systems topics, privacy, federated learning, and a capstone design project—with quizzes and scenarios.

4
Learning Levels
23
Topics
64
Exercises
23
Scenarios

What this trainer includes

  • TinyML vs Edge AI, MCU tiers, power/memory/compute constraints, ML layers for edge
  • Quantization, pruning, distillation, NAS; audio, image, and time-series on MCUs
  • Profiling, object detection, on-device learning, hardware–software co-design
  • Edge MLOps, privacy and security, transformers, federated learning, system integration
  • English and German; local progress in the browser