1. Introduction to AI
  2. Traditional ML Lifecycle
  3. TinyML Hardware and Software Platforms
  4. End-to-End TinyML Deployment Phases
  5. Real World Use Cases
  6. Practical Experiments with TinyML
  7. Advance Implementation with TinyML Board
  8. Continuous Improvement
  9. Conclusion