QLoRA Courses and Certifications

Discover AI

Fine-tuning SmolVLM Vision Language Model with QLoRA on Consumer GPU

Master fine-tuning techniques for SmolVLM vision language model using QLoRA optimization on consumer GPUs, with complete Python implementation and Jupyter notebooks for hands-on practice.

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

Donato Capitella

Finetuning LLMs on Strix Halo - Full, LoRA, and QLoRA on Gemma-3, Qwen-3, and GPT-OSS-20B

Master local LLM finetuning on AMD Strix Halo using full-parameter, LoRA, and QLoRA techniques with Gemma-3, Qwen-3, and GPT-OSS-20B models through hands-on implementation.

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

Venelin Valkov

Fine-Tuning LLM with QLoRA on Single GPU - Training Falcon-7b on ChatBot Support FAQ Dataset

Learn to fine-tune Falcon-7b LLM on a custom dataset using QLoRA. Covers model loading, LoRA adapter implementation, fine-tuning, progress monitoring, and performance evaluation on chatbot support FAQs.

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

Venelin Valkov

Deploy LLM to Production on Single GPU - REST API for Falcon 7B with QLoRA on Inference Endpoints

Learn to deploy a fine-tuned Falcon 7B model with QLoRA to production using HuggingFace Inference Endpoints, creating a REST API for efficient and scalable inference on a single GPU.

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

The Machine Learning Engineer

MLOps: Fine-tuning Mistral 7B with PEFT, QLora, and MLFlow

Fine-tune Mistral 7B using PEFT, QLora, and MLFlow techniques. Master advanced LLM optimization for improved performance and efficiency.

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

The Machine Learning Engineer

MLOps MLflow: Fine-tune LLaMA 3.2 3B with PEFT, QLoRA, and DORA for Customer Service

Master fine-tuning techniques for LLama 3.2 3B model using QLora and DORA, specifically focused on creating customer service chatbots with specialized datasets and MLflow integration.

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

UofU Data Science

Parameter-Efficient Finetuning - QLoRA and LoRA Methods

Explore parameter-efficient fine-tuning techniques with LoRA and QLoRA, learning how to optimize large language models while maintaining performance and reducing computational costs.

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

Coursera Credential

Open Generative AI: Build with Open Models and Tools

Master open-source generative AI through hands-on projects covering fine-tuning, RAG systems, model deployment, and production-ready applications using cutting-edge tools.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 13 courses

Mastering Generative AI: Fine-Tuning Transformers

Gain job-ready AI engineering skills for working with transformers, LLM frameworks, and GPT, and learn how to fine-tune models using Hugging Face and PyTorch.

• edX
• 2 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course (Audit)

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

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

LLM Fine Tuning Fundamentals + Fine tune OpenAI GPT model

396 ratings at Udemy

Learn the fundamentals of LLM and LLM Fine Tuning. Hands-On sessions to Fine tune OpenAI GPT model with custom data.

• Udemy
• 3 hours 27 minutes
• Self-Paced
• Paid Course

Edge AI with SLMs: Fine-Tuning & Local Deployment

55 ratings at Udemy

The complete guide to running private, offline AI on mobile & IoT. Master LoRA, Quantization, and Small Language Models.

• Udemy
• 1 hour 52 minutes
• Self-Paced
• Paid Course

Credential

AI Engineer

Master AI system design and deployment using PyTorch, OpenAI, Hugging Face, and Streamlit to build complex applications with LLMs, transformers, and AI agents.

• Codecademy
• 25 hours
• Self-Paced
• Free Trial Available

Credential

Engineer Neural Networks with PyTorch and Transformers

Master PyTorch neural networks and transformer finetuning with LoRA/QLoRA techniques. Build production-ready models for image, text, and sequential data through hands-on projects.

• Codecademy
• 11 hours
• Self-Paced
• Free Trial Available