Supervised Fine-Tuning Courses and Certifications

Discover AI

FASTER Code for Supervised Fine-Tuning and DPO Training with UNSLOTH

Explore practical implementation of UNSLOTH for accelerated Supervised Fine-Tuning and DPO-Alignment of LLMs using Jupyter notebooks with HuggingFace compatibility.

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

UofU Data Science

SFT Data and RLHF - Supervised Fine-Tuning and Reinforcement Learning from Human Feedback

Explore supervised fine-tuning data preparation and reinforcement learning from human feedback techniques for optimizing large language models in this technical deep dive.

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

UofU Data Science

LLM-as-Judge - Instruction Finetuning and Supervised Fine-Tuning

Explore LLM-as-judge techniques and instruction finetuning methods for supervised fine-tuning in this comprehensive data science presentation.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Supervised Fine-tuning for Gemini

Master supervised fine-tuning techniques for Gemini to customize large language models for specific tasks, improving quality and efficiency through hands-on demos and labs.

• Google Skills
• 4 hours
• Self-Paced
• Paid Course

Discover AI

How to Make Smaller LLMs R1-Smart

Discover how to enhance smaller language models with R1-Smart techniques from UC Berkeley researchers, exploring reasoning capabilities and limitations after SFT.

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

Discover AI

New AI Framework - Post-Training

Explore cutting-edge post-training AI frameworks unifying supervised fine-tuning and reinforcement learning for enhanced LLM alignment and mathematical reasoning capabilities.

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

DevConf

Detoxification of Large Language Models Using TrustyAI Detoxify and HuggingFace SFTTrainer

Explore LLM detoxification using TrustyAI Detoxify and HuggingFace SFTTrainer. Learn to rephrase toxic content for supervised fine-tuning, optimizing model safety and alignment.

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

Open Data Science

Introduction to LLM Post Training

Discover fundamentals of modern LLM post-training techniques, data generation strategies, supervised fine-tuning, preference alignment, and evaluation frameworks for AI development.

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

Google DeepMind: Fine-Tune Your Model

Unleash the power of language models with fine-tuning. In this course, you will learn how to adjust a pre-trained model to a specific task.

• DataCamp
• 8 hours
• Self-Paced
• Free Trial Available

Packt

LLM Engineer’s Handbook

1 rating

Master LLM engineering from design to deployment with hands-on MLOps practices, covering architecture, fine-tuning, RAG pipelines, and production-ready systems for AI professionals.

• Coursera
• 21 hours 41 minutes
• Self-Paced
• Paid Course

Yacine Mahdid

DeepSeek R1 Theory Overview - From GRPO to Reinforcement Learning and Supervised Fine-Tuning

Dive into a comprehensive breakdown of DeepSeek R1's architecture, exploring its training pipeline from GRPO and reinforcement learning to supervised fine-tuning and neural reward modeling.

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

Trelis Research

Combined Preference and Supervised Fine-Tuning with ORPO

Explore combined preference and supervised fine-tuning with ORPO. Learn about fine-tuning methods, loss functions, and performance improvements. Includes practical demos and evaluations.

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

Trelis Research

Embeddings vs Fine-Tuning - Supervised Fine-tuning - Part 2

Explore supervised fine-tuning techniques for language models. Learn to convert datasets, implement in Google Colab, and compare chat vs base models. Gain practical tips and access to essential scripts.

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

Fine-Tuning AI Agents with Reinforcement Learning

1 rating at Udacity

Master advanced techniques to transform static LLMs into adaptive AI agents using reinforcement learning, supervised fine-tuning, and alignment methods for autonomous decision-making.

• Udacity
• 15 hours
• Self-Paced
• Paid Course

LLMs from Scratch - Practical Engineering from Base Model to PPO RLHF

Master building complete large language models from scratch using pure PyTorch, covering transformer architecture, training, scaling, MoE, fine-tuning, and RLHF techniques.

• freeCodeCamp
• 6 hours 6 minutes
• Self-Paced
• Free Video