Edge AI Courses and Certifications

Edge AI Design Strategy for C2C E-Commerce Applications

Explore edge AI strategies for C2C e-commerce, focusing on client-side machine learning, MediaPipe integration, and optimizing performance across web and native platforms.

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

AI Institute at UofSC - #AIISC

Realtime Machine Learning on Edge AI Accelerators

Explore edge AI accelerators for real-time ML inference in IoT applications. Learn optimization techniques and system-level innovations for deploying advanced models on specialized hardware.

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

Toronto Machine Learning Series (TMLS)

Edge AI - The Next Frontier

Explore Edge AI's potential for real-time decision-making on devices like smartphones and appliances. Learn about use cases, opportunities, and see hands-on demos of Edge AI projects.

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

tinyML

Edge AI for a Sustainable Future

Explore edge AI's role in sustainability, from semiconductor advancements to industrial virtualization and smart devices. Discover how TinyML and Gen AI drive efficiency, safety, and innovation across multiple sectors.

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

LinaroOrg

Arm Edge AI Strategy

Discover how Arm is responding to changes in the IoT landscape in this keynote by John Thompson.

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

EDGE AI FOUNDATION

Smart Sampling Unlocks Edge AI Capabilities You Never Thought Possible

Discover how smart sampling reduces AI computational needs by 400x while maintaining accuracy, enabling powerful edge applications with just 10% of sensor data through brain-inspired selective attention.

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

EDGE AI FOUNDATION

AI Adoption at the Edge: How We Got to Now and Where We Go Next

Explore the evolution of AI at the edge with Silicon Labs CTO Daniel Cooley, from cloud origins to embedded systems, and discover why AI is becoming as essential as wireless and security in next-generation IoT devices.

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

IoT Systems and Industrial Applications with Design Thinking

23 ratings at edX

The first MOOC to provide a comprehensive introduction to Internet of Things (IoT) including the fundamental business aspects needed to define IoT related products.

• edX
• 7 weeks, 3-4 hours a week
• On-Demand
• Free Online Course (Audit)

Technologies and platforms for Artificial Intelligence

55 ratings at Coursera

Explora tecnologías de hardware y plataformas de aprendizaje automático y profundo, desde IoT hasta centros de datos, para diseñar aplicaciones inteligentes.

• Coursera
• 2 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Intel Microcredential

Intel® Edge AI for IoT Developers

Leverage Intel OpenVINO toolkit to develop high-performance computer vision and deep learning applications for edge computing, focusing on IoT devices and optimizing model performance.

• Udacity
• 13 weeks, 10 hours a week
• On-Demand
• Paid Course

Stay at the cutting-edge of AI technology by gaining practical skills for deploying edge AI. Learn how to use the Intel Distribution of OpenVINO toolkit to deploy computer vision capabilities inside a range of edge applications.

• Udacity
• 4 weeks
• On-Demand
• Free Online Course

tinyML

TinyML Auto ML Deep Dive: Streaming Analytics for Edge Devices

Explore streaming analytics for edge devices with Stream Analyze's platform. Learn to develop, deploy, and monitor edge AI solutions using real-time data processing and on-device intelligence.

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

tinyML

Enabling On-Device Learning at Scale

Explore on-device learning techniques for AI personalization, including few-shot learning, continuous learning, and federated learning, addressing privacy and efficiency challenges in edge computing.

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

tinyML

TinyML for All: Full-stack Optimization for Diverse Edge AI Platforms

Full-stack optimization for edge AI platforms, addressing challenges in model compression, neural architecture rebalancing, and design primitives to deploy real-world AI on tiny microcontroller units despite limited resources.

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

tinyML

Building and Enabling Voice Control with ARM Cortex-M

Explore Sensory's Edge-AI technology for creating custom wake words and voice control on ARM Cortex-M, with a focus on VoiceHub platform for developers.

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