Quantization Courses and Certifications

Digital Signal Processing 2: Filtering

196 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
• Paid Course

Digital Signal Processing 3: Analog vs Digital

93 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
• Paid Course

Digital Signal Processing 4: Applications

85 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
• Paid Course

Tobias Osborne

Advanced Quantum Theory - Many-Body Systems and Second Quantization

Master many-body quantum systems through second quantisation, scattering theory, and elementary relativistic quantum mechanics for theorists.

• YouTube
• 1 day 20 minutes
• On-Demand
• Free Video

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)

LLM Reinforcement Learning Fine-Tuning DeepSeek Method GRPO

114 ratings at Udemy

[EN] LLM Fine-Tuning and Reinforcement Learning with SFT, LoRA, DPO, and GRPO Custom Data HuggingFace

• Udemy
• 3 hours 46 minutes
• On-Demand
• Paid Course

Build On-Device AI

76 ratings at Udemy

Master On-Device AI! Learn to Train, Compile and Profile AI Models for Edge Device deployement with Qualcomm AI Hub

• Udemy
• 2 hours 2 minutes
• On-Demand
• Paid Course

Small Language Models (SLMs): Private AI, Edge & Strategy

72 ratings at Udemy

Compare SLMs vs LLMs. Understand Offline AI, Privacy, Quantization & Pruning. Evaluate models like Llama 3 or Gemma

• Udemy
• 2 hours 44 minutes
• On-Demand
• Paid Course

H2O.ai

H2O ai Large Language Models (LLMs) - Level 2

Master advanced LLM techniques through data preparation, fine-tuning, and model optimization. Learn QnA dataset creation, quantization, and LoRA while using H2O LLM Studio for practical NLP applications.

• Coursera
• 3 hours 24 minutes
• On-Demand
• Paid Course

Arm Education

Teaching AI on the Edge

Discover how to effectively teach AI for edge devices, balancing theory with hands-on projects while addressing technical constraints, applications, and ethical considerations for the next generation of engineers.

• Coursera
• 1 hour 1 minute
• On-Demand
• Paid Course

Packt

Build Anything With AI Agents - Apps - Games - Assistants

Unlock the power of AI agents to build apps, games, and assistants using cutting-edge tools like DeepSeek, reinforcement learning, and large language models for real-world applications.

• Coursera
• 6 hours 50 minutes
• On-Demand
• Paid Course

Arm Education

Optimizing Generative AI on Arm Processors

Discover how to optimize Generative AI models for Arm processors across mobile, edge, and cloud environments using SIMD, quantization, and KleidiAI library techniques.

• Coursera
• 10 hours 10 minutes
• On-Demand
• Paid Course

Coursera

Optimize AI Inference Speed & Accuracy

Master neural network optimization techniques to achieve 3-5x faster inference while maintaining accuracy across mobile, edge, and cloud deployments using profiling, pruning, and quantization.

• Coursera
• 4 hours 26 minutes
• On-Demand
• Paid Course

Coursera

Fine-tuning Text Models with PEFT

Master parameter-efficient fine-tuning techniques like LoRA and QLoRA to adapt large language models on consumer hardware with optimized hyperparameters and evaluation metrics.

• Coursera
• 9 hours 52 minutes
• On-Demand
• Paid Course

Pragmatic AI Labs

Advanced Fine-Tuning in Rust

Master memory-efficient fine-tuning of 7B parameter models on consumer hardware using QLoRA, transformers, and rigorous scientific validation methods in Rust.

• Coursera
• 6 hours 4 minutes
• On-Demand
• Paid Course