Quantization Courses and Certifications

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Paid Course

Coursera

Optimizing Models for Production

Master quantization, inference optimization, and hardware tuning to deploy efficient, scalable generative AI models in production environments.

• Coursera
• 8 hours 40 minutes
• Self-Paced
• 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
• Self-Paced
• Paid Course

Coursera

Optimize LLM Costs & Streamline Processes

Discover how to reduce LLM costs through quantization and streamline ML workflows using Value-Stream Mapping for operational excellence in AI projects.

• Coursera
• 1 hour 47 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

Deterministic LLM programming

Master deterministic LLM programming with AWS Bedrock, RAG pipelines, local inference via llama.cpp, and quality evaluation for production-grade AI systems.

• Coursera
• 5 hours 11 minutes
• Self-Paced
• Paid Course

Coursera

Optimize Deep Learning Models for Peak AI

Master transfer learning, model fine-tuning, and optimization techniques to deploy efficient deep learning models in production environments with balanced accuracy and performance.

• Coursera
• 1 hour 58 minutes
• Self-Paced
• Paid Course

Coursera

Optimize and Manage Your ML Codebase

Master real-time ML inference optimization and production workflows with advanced techniques like quantization, pruning, and automated CI/CD pipelines for performance-critical systems.

• Coursera
• 1 hour 18 minutes
• Self-Paced
• Paid Course

Coursera

Optimize and Deploy Edge AI Models

Master edge AI deployment by evaluating ML models with TensorFlow Lite, analyzing data slices for fairness, and optimizing quantization trade-offs for reliable real-world performance.

• Coursera
• 1 hour 27 minutes
• Self-Paced
• Paid Course

Packt

Advanced DeepSeek: Fine-Tuning, Optimization, and Deployment

Master advanced DeepSeek techniques including fine-tuning for legal reasoning, model distillation, quantization, and cloud deployment strategies to build scalable, production-ready AI systems.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

TensorFlow

Inside TensorFlow - Quantization Aware Training

Learn quantization aware training in TensorFlow, covering fundamentals, APIs, and implementation. Optimize ML models with hands-on guidance from a Software Engineer.

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