On-Device AI Courses and Certifications

Introduction to On-Device AI

29 ratings at Coursera

Deploy AI beyond the cloud: convert pretrained PyTorch and TensorFlow models for devices, run real-time image segmentation, validate accuracy, quantize for speed, and integrate into an Android app.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Free Online Course

Introduction to TensorFlow Lite

7 ratings at Udacity

Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite.

• Udacity
• 11 hours
• Self-Paced
• Free Online Course

LinaroOrg

Empowering Developers: The New Wave of On-Device AI Development

Discover how on-device AI transforms development with Windows on Snapdragon, enabling real-time performance, privacy, and power efficiency while optimizing AI workloads through hardware acceleration.

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

Dependency Injection for On-Device AI Systems

Discover how dependency injection solves API fragmentation, resource optimization, and model updates in on-device AI systems through NNStreamer and Tizen implementation.

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

Device-based Models with TensorFlow Lite

655 ratings at Coursera

Convert and optimize TensorFlow models to TensorFlow Lite, then run them with the Lite Interpreter in Android and iOS apps, on Raspberry Pi and microcontrollers.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

AI at the Edge on Arm: Deploying LLMs for Mobile Devices

Explore quantisation, pruning, and memory-aware optimisation for deploying efficient LLMs on Arm-powered mobile devices.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Arm Education;  University of Cambridge

AI at the Edge on Arm: Understanding and Deploying LLMs for Mobile Devices

AI at the Edge will be powered by Arm. Discover the tools and techniques you’ll need to deploy Language Models (LMs) on ubiquitous Arm-based mobile phones.

• edX
• 6 weeks, 2-3 hours a week
• Self-Paced
• Free Online Course (Audit)

Packt

Apple Foundation Models: On-Device AI Session Management

Build on-device AI apps with Apple Foundation Models, managing single- and multi-turn sessions, transcripts, context limits, and error recovery through practical text summary and travel assistant projects.

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

Copilot+ PC Accreditation 2025

Explore how Copilot+ PCs combine on-device AI, NPUs, Windows 11 Pro, and hardware-backed security to support productive, manageable business workflows.

• Microsoft Learn
• 1 hour 16 minutes
• Self-Paced
• Free Online Course

tinyML

Enabling On-Device Learning at Scale

Explore scaling privacy-preserving on-device learning through few-shot, continuous, and federated learning.

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

tinyML

Efficient On-Device Deep Learning: Challenges and Opportunities

Explores efficient on-device deep learning through hardware-friendly models and performance optimization for diverse edge devices.

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

UbuCon Asia

Ubuntu Kylin for AIPC - Development and Implementation

Explore Ubuntu Kylin's AI-native OS development, featuring on-device large models, intelligent assistants, and AI-generated features that transform desktop user experience.

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

Android Developers

On-Device Generative AI Solutions for Android - A Walkthrough

Explore on-device Generative AI for Android using Gemini Nano and MediaPipe Tasks LLM Inference API. Learn benefits, sample app implementation, and tips for efficient AI processing on user devices.

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

EDGE AI FOUNDATION

The Future of AI is On-Device - From Cloud to Edge Computing

Explore the shift of Generative AI from cloud to on-device computing, examining economic benefits, personalization opportunities, and the role of modern mobile chipsets in enabling AI capabilities.

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

EDGE AI FOUNDATION

Your Printer Just Got Smarter - On-Device Document AI Is Here

Discover how printers now perform document AI tasks locally - extracting tables, translating text, and generating edits without cloud dependency using Qwen 2.5-VL and privacy-first architecture.

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