EDGE AI FOUNDATION Courses

Blurring the Line Between Cloud and Edge - NXP's Vision for Scalable AI

Explore NXP's vision for converging edge and cloud AI, covering hardware-software co-design, memory optimization, and real-world applications from automotive to IoT systems.

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

From Fantasy to Reality - Building Chatbots with OpenVINO and Intel AI

Discover how to build powerful chatbots that run locally on PCs using Intel's OpenVINO toolkit, featuring offline LLMs, image generation, and model optimization techniques.

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

On-Device Tiny Machine Learning - From Algorithm to Technology

Explore on-device TinyML challenges, adaptive inference optimization, and lightweight training strategies for intelligent, evolving everyday devices.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

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
• Self-Paced
• Free Video

Visual Anomaly Detection Using Generative AI on MCUs

Discover how generative AI tools enable visual anomaly detection on microcontrollers, exploring practical implementations and cutting-edge applications in edge computing.

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

Scikit-learn for Microcontrollers

Discover how to implement scikit-learn machine learning models on microcontrollers for efficient edge computing and embedded AI applications.

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

Energy-Efficient Generative AI on Open-Source RISC-V Heterogeneous SoCs

Explore energy-efficient generative AI implementation on RISC-V heterogeneous SoCs, focusing on optimization techniques and open-source solutions for edge computing applications.

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

High-Efficiency Embedded Computer Vision for TinyML

Explore advanced computer vision capabilities on microcontrollers, from face landmark detection to pose detection, using energy-efficient NPU integration for endpoint deployment.

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

Making ML Tiny with High-Level Synthesis - Optimizing AI Accelerators

Discover how High-Level Synthesis enables optimal ML accelerator design for ASIC/FPGA, exploring quantization, caching strategies, and efficient implementation techniques for Edge and IoT systems.

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

Embedded Edge Intelligence with Infineon Products and Imagimob Studio

Discover how to develop ML-based edge devices using Infineon's PSOC™ Edge MCUs and Imagimob Studio platform for efficient AI deployment and low-power operation.

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

Unleashing the Power of Tiny Neural Network Models in Medical Devices

Explore how tinyML and neural networks are revolutionizing medical devices through advanced diagnostic capabilities, personalized monitoring, and efficient on-edge performance optimization.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Streamlining TinyML Application Development Using Open-CMSIS and Visual Studio Code

Discover how to streamline machine learning development for embedded systems using Arm CMSIS extensions in VSCode, from application creation to deployment on various platforms.

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

MicroCam - A Low-Power and Privacy Preserving Multi-modal Sensor Platform for Occupancy Detection

Discover how MicroCam's innovative multi-modal sensor platform uses AI and IoT technology to detect residential occupancy, enabling energy-efficient HVAC control while maintaining privacy and operating on battery power.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Architecture 2.0: Prompt Engineering and Foundation Models for Edge AI Hardware Design

Explore how foundation models and generative AI revolutionize TinyML hardware design through prompt engineering, enabling efficient edge AI solutions and accelerated development cycles.

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

On-Device Generative AI: Deployment, Optimization, and Advanced Techniques

Discover how on-device AI deployment transforms computing through advanced optimization techniques, from model distillation to speculative decoding, enabling efficient generative AI processing across devices.

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