tinyML Courses

hls4ml: An Open-Source Co-Design Workflow for Scientific Low-Power Machine Learning Devices

Explore hls4ml’s open-source workflow for translating machine-learning models into low-power FPGA and ASIC implementations for real-time scientific devices.

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

TinyML Summit 2021 Tiny Talks - TinyML Software Runtime for Hybrid Multicore Architecture

How TinyML runtimes schedule neural-network workloads across heterogeneous cores while controlling memory, power, and data movement.

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

How Adaptive AI Solves Big Challenges for tinyML

Explore how Adaptive AI addresses enterprise edge challenges and helps build and deploy tinyML models for smart devices.

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

Adaptive Neural Networks for Agile TinyML - Keynote

Adaptive neural networks dynamically reduce memory and compute demands for agile TinyML inference.

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

TinyML Journey: From Face Detection Demo to Real-Life Commercial Deployment

A TinyML case study on turning a face-detection demo into robust, real-world commercial deployment on low-cost microcontrollers.

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

Leveraging Sparsity for Fast Response Times in Edge AI - tinyML Summit 2021

Explore how sparsity and the NeuronFlow multicore architecture enable low-latency, real-time AI applications at the edge.

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

Many Shades of Acceleration - An Open TinyML Platform Perspective

Explores how open RISC-V platforms balance specialized hardware acceleration, flexibility, and sub-milliwatt power for TinyML at the extreme edge.

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

Advanced Network Quantization and Compression Using AIMET - tinyML Summit 2021

Learn advanced neural network quantization and compression techniques with Qualcomm’s AI Model Efficiency Toolkit for efficient edge-device AI.

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

Build Industrial-Grade TinyML Applications with Edge Impulse - Tutorial

Build an industrial tinyML application end to end, from sensor data collection and model training through quantization, anomaly detection, and deployment on an MCU.

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

Building a Magic Wand with TensorFlow Lite Micro - Tutorial

Build and deploy an IMU-based TinyML gesture-recognition model on an Arduino Nano BLE Sense 33.

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

Positive Unlabeled Learning for Tiny ML

Explores positive-unlabeled learning methods for building low-complexity classifiers on tinyML devices with partially labeled data.

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

An Introduction to Optimizing ML Models with TVMC

Learn how TVMC uses Apache TVM to compile and optimize machine-learning models for different hardware platforms, with a practical ResNet-50 deployment example.

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

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

Explore Race Predict, a tinyML edge solution that uses live video and computer vision to identify moving objects and determine the start of sporting events.

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

Oral Tongue Lesion Detection Using TinyML on Embedded Devices

A case study of using tinyML models on embedded devices to detect benign and premalignant tongue lesions for low-cost oral cancer screening.

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

CMSIS-NN & Optimizations for Edge AI

Optimize Edge AI inference on Arm Cortex-M processors using CMSIS-NN, cycle analysis, operator tuning, and TensorFlow Lite for Microcontrollers.

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