TinyML Courses and Certifications

EDGE AI FOUNDATION

TinyML: From Concept to Reality - The Journey of Machine Learning at the Edge

Explore the evolution and future potential of tinyML technology, from its foundational developments to emerging applications and standardization efforts that are revolutionizing edge computing.

• YouTube
• 33 minutes
• On-Demand
• Free Video

EDGE AI FOUNDATION

Accelerating MLOps and CI/CD for tinyML on Arm

Discover how to accelerate tinyML development using Arm Virtual Hardware for cloud-based testing, enabling efficient MLOps and CI/CD workflows for IoT devices and faster market deployment.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

EDGE AI FOUNDATION

TILE-MPQ: Design Space Exploration of Tightly Integrated Layer-Wise Mixed-Precision Quantized Units for TinyML Inference

Explore innovative mixed-precision quantization techniques for optimizing deep learning models on edge devices, focusing on hardware-aware solutions that balance accuracy and resource constraints.

• YouTube
• 25 minutes
• On-Demand
• Free Video

EDGE AI FOUNDATION

All-Digital Reconfigurable SRAM-Based Compute-in-Memory Macro for TinyML Devices

Explore the development of an all-digital SRAM-based compute-in-memory macro design that enhances TinyML device performance through innovative cell-level operations and reconfigurable architecture.

• YouTube
• 26 minutes
• On-Demand
• Free Video

EDGE AI FOUNDATION

Smart Motion Sensors and TinyML Applications for Always-On Edge Computing

Explore smart motion sensors and machine learning applications for ultra-low-power edge computing, focusing on pattern recognition and vibration detection in always-on devices.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

EDGE AI FOUNDATION

Benchmarking AI Compilers for TinyML Market - Performance and Optimization Insights

Explore AI compiler optimization for TinyML devices, focusing on performance benchmarks, energy efficiency, and practical implementation strategies for MCU deployment.

• YouTube
• 11 minutes
• On-Demand
• Free Video

EDGE AI FOUNDATION

Brain Inspired ISFET Arrays - A TinyML Approach to Lab-on-Chip Diagnostics

Explore brain-inspired ISFET arrays and neuromorphic architectures for creating ultra-low power, AI-enabled lab-on-chip diagnostic devices for infectious disease detection and cancer biomarker analysis.

• YouTube
• 15 minutes
• On-Demand
• Free Video

EDGE AI FOUNDATION

Creating End-to-End TinyML Applications for Ethos-U NPU in the Cloud

Discover how to develop end-to-end TinyML applications for Arm's Ethos-U NPU, focusing on performance optimization, hardware-supported operators, and early development using Arm Virtual Hardware.

• YouTube
• 17 minutes
• On-Demand
• Free Video

EDGE AI FOUNDATION

MEMA Runtime Framework: Minimizing External Memory Accesses for TinyML on Microcontrollers

Discover how the MEMA framework optimizes TinyML systems by minimizing memory access, achieving faster performance and reduced energy consumption on microcontrollers.

• YouTube
• 13 minutes
• On-Demand
• Free Video

EDGE AI FOUNDATION

Finding Real Uses for TinyML - Challenges and Opportunities in Commercial Applications

Explore real-world applications and commercial challenges of tinyML through insights from industry expert Pete Warden, focusing on practical implementation and market opportunities.

• YouTube
• 19 minutes
• On-Demand
• Free Video

EDGE AI FOUNDATION

Audio Applications in the TinyML Era

Explore cutting-edge audio applications for microcontrollers using tinyML, including environmental noise cancellation and open vocabulary keyword spotting, with practical implementation strategies for resource-constrained devices.

• YouTube
• 1 hour
• On-Demand
• Free Video

Deploying TinyML

20 ratings at edX

Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.

• edX
• 5 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

tinyML

TinyML Talks France - State of the TinyML Today

Exploration des applications, avancées et défis du TinyML, mettant en lumière son potentiel dans les systèmes à très faible consommation et son impact sur l'IA embarquée et l'IoT.

• YouTube
• 53 minutes
• On-Demand
• Free Video

tinyML

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
• On-Demand
• Free Video

MIT HAN Lab

MCUNet: Tiny Neural Network Design for Microcontrollers - Lecture 11

Explore algorithm and system co-design for tiny neural network inference on microcontrollers, focusing on TinyML, TinyNAS, and TinyEngine for efficient deep learning applications.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video