On-Device AI Courses and Certifications

Android Developers

Gemini Nano on Android: Building with On-Device Gen AI

Discover how to implement Gemini Nano for on-device AI in Android apps, focusing on privacy and offline functionality with new generative AI APIs for text summarization, proofreading, and image descriptions.

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

EDGE AI FOUNDATION

Revolutionizing On-Device AI Deployment Through Rapid Implementation

Unlock the power of smartphone MPUs for lightning-fast, private AI inference without cloud costs. Optimize models, benchmark across 200+ devices, and deploy with copy-paste simplicity.

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

Memory Device Technology for AI/ML Computing

Explore memory device technologies enabling AI/ML computing, from SRAM and DRAM to emerging neuromorphic architectures for next-generation low-power systems.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

EDGE AI FOUNDATION

NanoEdge AI Studio - All On-Device Anomaly Detection for Industry 4.0

Discover how NanoEdge AI Studio enables on-device anomaly detection for Industry 4.0, exploring auto-ML algorithms and practical applications in predictive maintenance using STMicroelectronics' solution.

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

ChemicalQDevice

FDA AI/ML Medical Device Guidelines and Potential QML Submissions

Explore FDA guidelines for AI/ML medical devices and potential quantum machine learning submissions. Gain insights into regulatory frameworks and emerging technologies shaping the future of healthcare innovation.

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

USC Information Sciences Institute

AI on the Edge: Post-CMOS Hardware and Device Materials - Session IV

Explore cutting-edge advancements in post-CMOS hardware and device materials for energy-efficient neuromorphic computing and edge AI applications.

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

tinyML

Ultra-Efficient On-Device Object Detection with AI-Integrated Smart Glasses Using TinyissimoYOLO

Explore ultra-efficient object detection using AI-integrated smart glasses and TinyissimoYOLO for on-device applications in this cutting-edge presentation.

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

Callstack Engineers

React Native AI - Bringing On-Device LLMs With AI SDK

Discover how to build custom AI SDK providers for on-device LLMs in React Native apps, integrating MLC LLM Engine and Apple's foundation models for offline AI functionality.

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

Weights & Biases

Synthetic Data in Medical Device AI - Challenges and Opportunities

Discover how SandboxAQ tackles medical AI data scarcity using synthetic data generation and deep transfer learning for magnetocardiography device development.

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

AWS Events

Building a Personal AI Assistant Device

Discover how to build a personal AI assistant device using AWS services and cloud technologies in this comprehensive technical session.

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

Open Compute Project

LLM Service Revolution Through Memory Computing Fusion Technology - From Datacenter to On-Device AI

Discover how SK Hynix's AiM technology revolutionizes LLM services through processing-in-memory solutions, offering enhanced efficiency and reduced costs for both datacenter and device-level AI applications.

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

Jamf

Navigating Device Management and AI Policies in Private Schools

Discover practical strategies for K-12 device management and AI policy development tailored to private schools' unique needs and digital challenges.

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

EDGE AI FOUNDATION

E2EdgeAI - Energy Efficient Edge AI for On-Device Development

Discover energy-efficient AI deployment strategies for edge devices using MAGRIP pruning and BitMed ViT compression to achieve 43x size reduction while maintaining accuracy.

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

SK AI SUMMIT 2024

On-device AI 기반 스마트폰 배터리 절약 기술 소개 - 고객 경험 최적화를 위한 AI 솔루션

Discover how SK Telecom leverages on-device AI technology to optimize smartphone battery life through intelligent data pattern analysis and predictive connectivity management for enhanced mobile experience.

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