Hardware Acceleration Courses and Certifications

tinyML

TinyML Talks - SRAM Based In-Memory Computing for Energy-Efficient AI Inference

Explore SRAM-based in-memory computing for energy-efficient AI inference, covering bitcell circuits, architectures, and design optimization for improved performance in low-power processors.

• YouTube
• 59 minutes
• On-Demand
• Free Online Course

TheIACR

Hardware Acceleration and Instruction Set Extensions

Explore hardware acceleration and instruction set extensions in cryptography at CHES 2023, featuring cutting-edge research and expert insights.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Online Course

CNCF [Cloud Native Computing Foundation]

Consolidation in Benchmarking, Optimization, and Ecosystem Collaboration for AI ASICs

探讨AI ASIC的基准测试、优化和生态系统协作,聚焦ByteMLPerf工具如何助力ASIC评估,提高易用性、多功能性和性能,以更好地反映实际应用场景。

• YouTube
• 21 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Conflict and Technology

Explore the challenges and solutions in integrating FPGAs for high-performance computing, focusing on conflicts in technology, scaling, and application development.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Online Course

FPGA computing systems: Partial Dynamic Reconfiguration

Explore dynamic reconfiguration in FPGAs, covering device mechanisms, design methodologies, and tools for creating adaptable systems. Learn to implement flexible hardware solutions for evolving application demands.

• Coursera
• 1 day 3 hours 27 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to On-Device AI

Learn to deploy AI models on edge devices, reducing latency and enhancing privacy. Master key concepts, convert models, optimize performance, and integrate into mobile apps for efficient on-device AI.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

FPGA computing systems: Partial Dynamic Reconfiguration

Explore reconfigurable FPGA systems, their architecture, and design methodologies. Learn about partial dynamic reconfiguration and industrial practices through real-world examples.

• Polimi OPEN KNOWLEDGE
• On-Demand
• Free Online Course

Carnegie Mellon University

Hardware Accelerated Database Lectures - Fall 2018

Explore cutting-edge hardware acceleration for database systems through expert talks from leading DBMS developers, focusing on implementation details and real-world challenges in modern computational and storage hardware.

• YouTube
• 6 hours
• On-Demand
• Free Online Course

Getting Started with OpenCV in .NET

123 ratings at Pluralsight

Learn OpenCV computer vision library usage in .NET, covering image processing tasks, 2D feature processing, and hardware acceleration. Gain practical skills for further exploration of computer vision problem-solving.

• Pluralsight
• 1 hour 27 minutes
• On-Demand
• Free Trial Available

Databricks

Apache TVM: Optimizing ML Models for Edge Deployment - Deep Dive and Demo

Explore Apache TVM's machine learning compiler to optimize deep learning models for faster inference on various hardware, reducing costs and improving performance.

• YouTube
• 49 minutes
• On-Demand
• Free Online Course

tinyML

hls4ml: An Open-Source Co-Design Workflow for Scientific Low-Power Machine Learning Devices

Explore hls4ml, an open-source workflow for implementing machine learning algorithms on FPGAs and ASICs, enabling real-time processing for scientific applications and accelerating discoveries.

• YouTube
• 21 minutes
• On-Demand
• Free Online Course

tinyML

Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support

Innovative smartphone security: Deep Learning for quick impostor detection, preserving user privacy with on-device processing and minimal hardware support.

• YouTube
• 21 minutes
• On-Demand
• Free Online Course

tinyML

Many Shades of Acceleration - An Open TinyML Platform Perspective

Explore extreme edge AI, energy efficiency, and acceleration techniques for TinyML applications with insights from the PULP platform and RISC-V processors.

• YouTube
• 55 minutes
• On-Demand
• Free Online Course

tinyML

Optimizing Data-Flow in Binary Neural Networks

Explore optimizing data flow in Binary Neural Networks, focusing on hardware efficiency, quantization techniques, and accuracy improvements for embedded systems.

• YouTube
• 20 minutes
• On-Demand
• Free Online Course

tinyML

Embedded Machine Learning in the Real World

Explore embedded ML applications, challenges, and opportunities in real-world scenarios, focusing on tiny models, accelerated hardware, and practical tooling.

• YouTube
• 27 minutes
• On-Demand
• Free Online Course