TinyML Ecosystem

Learn TinyML: Complete Builder Curriculum

Progress through a structured TinyML program that connects AI fundamentals, embedded hardware, model optimization, and real-time deployment on constrained devices.

Curriculum Modules

TinyML Learning Architecture

Foundation Core

AI + ML Essentials

  • What is AI
  • History of AI
  • AI vs ML vs Deep Learning
  • What is Edge AI
  • What is TinyML
  • TinyML vs Edge AI
  • Real-world TinyML applications
  • Why TinyML matters
Programming Engine

Software Fundamentals for TinyML Builders

  • Python fundamentals
  • C/C++ fundamentals
  • NumPy basics
  • Data structures basics
  • Data handling
  • Microcontroller coding basics
Embedded Hardware Core

Microcontroller & Interface Systems

  • Microcontrollers
  • ESP32
  • Arduino Nano BLE Sense
  • STM32 intro
  • Sensors
  • GPIO, ADC, UART, I2C, SPI, PWM, Interrupts
Machine Learning Blueprint

Modeling Fundamentals

  • Classification
  • Regression
  • Features and labels
  • Training vs inference
  • Overfitting
  • Neural network basics
Sensor Intelligence Systems

Signal-Aware Tiny Intelligence

  • Motion sensing
  • Audio sensing
  • Sampling
  • Noise reduction and filtering
  • Feature extraction
  • Time-series basics
TinyML Toolchain

Build, Convert, and Deploy

  • Edge Impulse
  • TensorFlow Lite
  • TensorFlow Lite Micro
  • Model conversion
  • Quantization
  • Deployment flow
Deployment Architecture

Embedded Runtime Engineering

  • Flash memory
  • RAM constraints
  • Real-time inference
  • Optimization
  • Debugging
Advanced TinyML Systems

Expert Domain Tracks

Wearables
Tiny robotics
Predictive maintenance
Tiny vision
Security

No matching TinyML learning modules found.