Edge AI Courses and Certifications

Edge Impulse Career Certificate

Edge AI for Microcontrollers

897 ratings at Coursera

Discover how to build and deploy AI models on microcontrollers, covering fundamentals, sensor data processing, and computer vision for resource-constrained devices.

• Coursera
• 8 weeks, 4 hours/week
• Self-Paced
• Paid Course
• 3 courses

Edge Impulse

Edge AI Fundamentals

Discover the fundamentals of edge AI through concepts, vocabulary, and real-world applications without hands-on programming in this introductory overview.

• Coursera
• 5 hours 10 minutes
• Self-Paced
• Paid Course

Board Infinity

Deploying Deep Learning: Quantization, Serving, and Edge AI

Master the full deep learning deployment lifecycle — quantize LLMs with AWQ/GPTQ, serve at scale with vLLM and Triton, and deploy on edge devices using ONNX, Llama.cpp, and TensorRT.

• Coursera
• 21 hours
• Self-Paced
• Paid Course

Coursera

Optimizing AI Workflows and Deploying Edge Models

Master optimizing ML workflows with PyTorch, GPU acceleration, data pipelines, and edge deployment using TensorFlow Lite for real-world AI production environments.

• Coursera
• 7 hours 35 minutes
• Self-Paced
• Paid Course

Coursera

Optimize and Deploy Edge AI Models

Master edge AI deployment by evaluating ML models with TensorFlow Lite, analyzing data slices for fairness, and optimizing quantization trade-offs for reliable real-world performance.

• Coursera
• 1 hour 27 minutes
• Self-Paced
• Paid Course

Coursera

Edge AI and Nanotechnology: Nanoscale Data Processing

Master edge AI data pipelines for nanoscale sensor systems—covering ingestion, anomaly detection, serialization, streaming, and automated testing to build production-ready, low-latency solutions.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

EDGE AI FOUNDATION

A 28nm AI Microcontroller with Embedded Flash Memory for Edge Computing

1 rating

Discover Anaflash's revolutionary 28nm AI microcontroller with embedded flash memory that eliminates memory bottlenecks, featuring zero-standby power and Near Memory Computing for efficient edge AI.

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

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
• Self-Paced
• Free Video

Conf42

Edge Intelligence Revolution - GPU Acceleration and Distributed AI Implementation

Discover how GPU-accelerated edge AI transforms manufacturing, telecom, and autonomous systems while addressing data sovereignty and security challenges in distributed computing.

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

Streamlining AI Solutions Development - Seamless Development from Device to Cloud Harnessing WebAssembly on the Edge

Discover how WebAssembly streamlines edge AI development, enabling seamless integration from device to cloud with Sony's open-source SDK for intelligent sensing solutions.

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

InfiniEdge AI - Bringing Open-Source Generative AI to the Edge

Explore how InfiniEdge AI enables powerful generative models to run on edge devices, improving privacy, reducing latency, and enabling real-time AI responses offline.

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

EDGE AI FOUNDATION

Advancing Ultra-Low-Power Edge AI with EMASS and ECS-DoT

Discover how ECS-DoT revolutionizes ultra-low-power edge AI with 1mW always-on sensing, event-driven architecture, and seamless compute-memory integration for intelligent devices.

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