Quantization Courses and Certifications

Quantization Fundamentals with Hugging Face

Learn to compress and optimize generative AI models through quantization techniques, making them more efficient and accessible for various devices while minimizing performance loss.

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

Quantization in Depth

Build and customize linear quantization methods to compress model weights, balance performance and space tradeoffs, and implement techniques for 8-bit and 2-bit quantization in PyTorch.

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

Hausdorff Center for Mathematics

Helmut Bölcskei - Lossy Compression on General Data Structures

Explore lossy compression for data on manifolds and fractals, with bounds on rate-distortion function and quantization error. Applications in data science and image processing.

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

TensorFlow

TensorFlow Model Optimization - Quantization and Pruning

Explore TensorFlow model optimization techniques like quantization and pruning to enhance performance, reduce resource usage, and improve efficiency in machine learning applications.

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

Nvidia

Inference and Quantization for AI - Session 3

Explore quantized inference, TensorRT 5, and TensorFlow integration for AI model optimization. Learn about NVIDIA's inference server and techniques to improve model efficiency and performance.

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

tinyML

Extremely Low-Bit Quantization for Transformers - tinyML Asia 2021

Explore extremely low-bit quantization techniques for Transformers, focusing on mixed precision strategies to optimize deployment on resource-limited devices without compromising accuracy.

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

tinyML

MicroTVM: A Tensor Compiler for Bare Metal

Explore microTVM, a tensor compiler for bare metal devices, its functionality, and future directions. Learn about deployment challenges and see a demonstration of the technology.

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

Stanford Seminar - Neural Networks on Chip Design from the User Perspective

We will briefly review our past effort on Deep learning Processing Unit (DPU) design on FPGA in Tsinghua and Deephi, and then talk about some features, i.e. interrupt and virtualization, we are trying to introduce into the accelerators from the user's pe…

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

Lossy Compression Basics and Quantization - Lecture 11

Explore lossy compression fundamentals and quantization techniques in this Stanford lecture, covering essential concepts for efficient data reduction in various applications.

• YouTube
• 1 hour 24 minutes
• On-Demand
• Free Online Course

Llama for Python Programmers

10 ratings at Coursera

Learn to leverage Llama 2 LLM in Python applications. Explore open-source LLMs, quantization, prompting techniques, and model variants. Gain hands-on skills to integrate generative AI into your work.

• Coursera
• 5 hours 40 minutes
• On-Demand
• Free Online Course (Audit)

Digital Signal Processing 1: Basic Concepts and Algorithms

572 ratings at Coursera

Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment.

• Coursera
• 1 day 4 hours 44 minutes
• On-Demand
• Free Online Course (Audit)

Computer Vision for Embedded Systems

Learn about constraints and reducing resource requirements for computer vision on embedded systems.

• edX
• 5 weeks, 7-8 hours a week
• On-Demand
• Free Online Course (Audit)

Digital Signal Processing 2: Filtering

178 ratings at Coursera

Explore digital filtering techniques, from basic concepts to advanced filter design and adaptive processing, enhancing your signal processing toolkit for real-world applications.

• Coursera
• 18 hours 24 minutes
• On-Demand
• Free Online Course (Audit)

Digital Signal Processing 3: Analog vs Digital

76 ratings at Coursera

Explore analog-to-digital conversion, sampling, interpolation, and aliasing in signal processing. Learn practical applications and techniques for handling discrete-time signals.

• Coursera
• 15 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Digital Signal Processing 4: Applications

67 ratings at Coursera

Explore image processing, JPEG compression, digital communications, ADSL, and real-time audio processing on microcontrollers. Gain practical DSP skills through hands-on examples and demonstrations.

• Coursera
• 14 hours 7 minutes
• On-Demand
• Free Online Course (Audit)