tinyML Courses

Many Shades of Acceleration - An Open TinyML Platform Perspective

Explore extreme edge AI, energy efficiency, and acceleration techniques for TinyML applications with insights from the PULP platform and RISC-V processors.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

TinyML Vision Challenge - Summit 2021

Discover the tinyML Vision Challenge: Create innovative computer vision applications using tinyML, compete for $6k in prizes, and gain recognition from the tinyML Foundation.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Advanced Network Quantization and Compression Using AIMET - tinyML Summit 2021

Explore advanced network quantization and compression techniques using AIMET to optimize AI models for efficient deployment on end devices, addressing memory, compute, and energy constraints.

• YouTube
• 1 hour 34 minutes
• Self-Paced
• Free Video

Build Industrial-Grade TinyML Applications with Edge Impulse - Tutorial

Learn to build industrial-grade tinyML applications using Edge Impulse. Covers dataset collection, model design, training, optimization, and integration into embedded systems running on MCUs.

• YouTube
• 1 hour 37 minutes
• Self-Paced
• Free Video

Building a Magic Wand with TensorFlow Lite Micro - Tutorial

Learn to build an IMU-based gesture recognition model for Arduino, covering data gathering, training, and deployment using TensorFlow Lite Micro and CMSIS-NN library.

• YouTube
• 1 hour 33 minutes
• Self-Paced
• Free Video

Positive Unlabeled Learning for Tiny ML

Explore positive unlabeled learning for embedded applications, including wearable health sensors and wildlife monitoring. Learn low-complexity solutions for effective machine learning with limited labeled data.

• YouTube
• 1 hour
• Self-Paced
• Free Video

An Introduction to Optimizing ML Models with TVMC

Explore optimizing ML models with TVMC, a front-end to Apache TVM. Learn high-level TVM concepts and practical TVMC usage for building efficient models across various platforms.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

TinyML Talks Local ANZ Meetup - Race Predict by DXC - Harnessing Compute at the Edge to Identity

Explore edge computing for real-time sports event detection using live video feeds and Corel devices, with insights on scalable cloud architecture for diverse sporting applications.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

Oral Tongue Lesion Detection Using TinyML on Embedded Devices

Explore oral tongue lesion detection using TinyML on embedded devices for early cancer screening, supporting physicians in remote healthcare settings with limited specialized resources.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

CMSIS-NN & Optimizations for Edge AI

Explore Edge AI optimizations, CMSIS-NN library, and TensorFlow Lite for microcontrollers. Learn performance enhancement techniques and see a live demo on Arduino Nano 33 BLE Sense board.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

MicroTVM: A Tensor Compiler for Bare Metal

Explore microTVM, a tensor compiler for bare metal devices, its functionality, and future directions. Learn about deployment challenges and see a demonstration of the technology.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Binarized Neural Networks on Microcontrollers

Explore Binarized Neural Networks for efficient deep learning on microcontrollers, enabling complex tasks with minimal memory and high performance using 1-bit encoding for weights and activations.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Security of Edge AI Against Hardware Attacks

Explore security challenges and countermeasures for Edge AI against hardware attacks, focusing on neural network protection and side-channel analysis in embedded systems.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Building Personal Computing Devices with Sensing - Intel's Approach

Explore Intel's journey in integrating sensing technologies into personal computing devices, from Sandy Bridge to 11th Gen chipsets, enhancing user experiences and device capabilities.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Embedded Machine Learning in the Real World

Explore embedded ML applications, challenges, and opportunities in real-world scenarios, focusing on tiny models, accelerated hardware, and practical tooling.

• YouTube
• 27 minutes
• Self-Paced
• Free Video