Medical Devices Courses

Digi-Key

Build Smarter Devices with the World's Smallest Arm Cortex-M4 FPU Microcontroller

Explore building smarter, compact devices using the MAX32660 microcontroller. Learn about power efficiency, pin assignments, and development tools for creating innovative, size-constrained solutions.

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

Opto Video

Secure & Democratize the Data in Your Customer's Brownfield Devices

Secure legacy devices, add cybersecurity, and integrate operational data into modern IIoT infrastructure using edge programmable industrial controllers for digital transformation initiatives.

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

Tech Tutorials - David McKone

How to Share USB Devices Over IP Using a Raspberry Pi

Learn to share USB devices over IP using a Raspberry Pi, enabling remote access and flexible device placement. Ideal for VM configurations, centralized device management, and improved wireless coverage for USB peripherals.

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

Kevin Darrah

Working with I2C (Two Wire Interface) Devices - Tutorial

Learn to interface with I2C devices like compasses, EEPROMs, and RTCs. Covers I2C basics, code implementation, and datasheet interpretation for Arduino projects.

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

Nordic Semiconductor

How Cloud Helps Your IoT Devices to Get Location Data

Discover efficient cloud-based methods for IoT devices to quickly acquire accurate location data using GPS and cellular technologies, enhancing performance regardless of geographical position.

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

Pixologic ZBrush

ZBrushLIVE Industry Spotlight: Medical Illustration – Andrew Swift - ZBrush 2022

Explore medical illustration with Andrew Swift, showcasing ZBrush in his workflow. Learn industry insights, ask questions, and gain valuable tips for enhancing your own 3D modeling and digital sculpting techniques.

• YouTube
• 2 hours 35 minutes
• Self-Paced
• Free Video

Connecting IoT Devices to Azure IoT Hub - Digital Agriculture Project

Learn to migrate IoT solutions to Azure IoT Hub, enhancing security, reliability, and scalability. Explore device-to-cloud communication, telemetry sending, and direct method responses using Python on a Raspberry Pi.

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

Meta

Performance Without Compromise in React.js - Achieving Speed on Low-Power Devices

Explore Netflix's approach to achieving high performance in React.js while maintaining declarative architecture, focusing on techniques for 60fps rendering on low-power devices.

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

tinyML

Software-Driven TinyML Hardware Co-Design for AI Power Smart Devices

Explore software-hardware co-design for efficient TinyML systems, focusing on processing-in-memory accelerators to reduce power consumption and enhance AI inference in smart devices.

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

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
• Self-Paced
• Free Video

tinyML

On-Device Learning Under 256KB Memory - Challenges and Solutions for IoT Devices

Explore on-device learning for IoT devices with limited memory. Learn techniques for efficient model adaptation, quantization-aware scaling, and sparse updates to enable continuous learning on tiny hardware.

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

tinyML

EON Tuner - AutoML for Constrained Devices in TinyML

Explore AutoML for constrained devices with EON Tuner, optimizing tinyML models through pre-processing, DSP, and ML combinations while considering device limitations and real-world performance.

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

tinyML

TinyM2Net: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devices

Explore a flexible multimodal learning framework for tiny devices, featuring depth separable layers and mixed precision quantization, with applications in COVID detection and object recognition.

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

tinyML

tinyMAN - Lightweight Energy Manager Using Reinforcement Learning for Energy Harvesting Wearable IoT Devices

Explore reinforcement learning for energy management in IoT wearables, focusing on tinyMAN's lightweight approach to achieve energy-neutral operation in harvesting devices.

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

tinyML

Distributed On-Sensor Compute System for AR/VR Devices - A Semi-Analytical Simulation Framework

Explore a semi-analytical simulation framework for power estimation in distributed on-sensor compute systems for AR/VR devices, focusing on smart image sensors and workload partitioning.

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