LLM Fine-Tuning Courses and Certifications

Sam Witteveen

Fine-Tuning Palm 2 and Creating Datasets - How-To Guide

A short walkthrough of tuning PaLM 2 in Vertex AI, from preparing a dataset to examining the model pipeline.

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

echohive

GPT 3.5 Fine Tuning Just Announced - Everything You Need to Know

Learn to fine-tune GPT-3.5 Turbo, from preparing training data and estimating costs to making API calls and using the tuned model.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

echohive

Fine Tune GPT 3.5 Turbo in Python - Step by Step Instructions for Entire Process

Follow a GPT-3.5 Turbo fine-tuning job in Python from dataset creation through real-time progress tracking and plotting.

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

echohive

Fine-Tuning GPT-3.5 Turbo for Complex Tasks with Minimal System Messages

Build a summarization pipeline that uses GPT-4 to evaluate summaries and create a fine-tuning dataset for GPT-3.5 Turbo.

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

Reinforcement Learning from Human Feedback (RLHF)

320 ratings at DataCamp

Combine the efficiency of Generative AI with the understanding of human expertise in this course on Reinforcement Learning from Human Feedback.

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

Shaw Talebi

Local LLM Fine-tuning on Mac (M1 16GB) Using QLoRA and MLX

Fine-tune a local LLM on M1 Mac using MLX and QLoRA. Adapt Mistral 7b to respond like you to YouTube comments, with step-by-step guidance and code examples.

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

Generative AI Fundamentals

46 ratings at Udacity

Explore how generative AI and foundation models work, then build, prompt, evaluate, and fine-tune LLM applications with Python, PyTorch, and LoRA.

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

Google DeepMind: Accelerate Your Model

21 ratings at DataCamp

Estimate compute and memory needs for training models on a single GPU, apply bfloat16 and gradient accumulation to fine-tune a 4-billion-parameter Gemma model, and weigh AI's environmental impacts.

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

Associate AI Engineer for Data Scientists

15 ratings at DataCamp

## Become an AI Engineer: From Data Science to Production-Ready AI Start your journey to becoming an AI Engineer by building the essential skills to take AI models from development to deployment.

• DataCamp
• 1 day 16 hours
• Self-Paced
• Free Trial Available

Generative AI Essentials with Snowflake

18 ratings at DataCamp

This course introduces learners to generative AI and how to implement common AI use cases using Snowflake.

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

Introducing Generative AI with AWS

9 ratings at Udacity

Learn generative AI fundamentals, prompt engineering, and LLM domain adaptation through a hands-on Amazon SageMaker project.

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

LLMOps: Building Real-World Applications With Large Language Models

4 ratings at Udacity

Build, deploy, monitor, evaluate, and secure production applications powered by large language models through an end-to-end LLMOps lifecycle.

• Udacity
• 11 hours
• Self-Paced
• Free Certificate

Join the world's biggest AI community today, and learn to build AI with Hugging Face!

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

Llama Fundamentals

This track equips you with the skills to implement Llama 3 for tasks ranging from running inference on pre-trained models to fine-tuning for custom use cases.

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

Google DeepMind’s AI Research Foundations curriculum will deepen your understanding of the AI technologies behind language models like Google Gemini, and will teach you how to build and fine-tune modern language models from the ground up.

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