Prompt Tuning Courses and Certifications

Unify

Prompt Tuning Explained

Explore prompt tuning techniques for optimizing pre-trained language models. Learn about soft prompts, gradient descent, and improving performance on downstream tasks while maintaining model efficiency.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Google: Introduction to Large Language Models

27 ratings at DataCamp

This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance.

• DataCamp
• 1 hour
• Self-Paced
• Free Trial Available

Introduction to Large Language Models with Google Cloud

10 ratings at Udacity

Explore what large language models are, where they are used, and how prompt tuning can improve their performance.

• Udacity
• 1 hour
• Self-Paced
• Free Certificate

MIT HAN Lab

Efficient Fine-tuning and Prompt Engineering - Lecture 20

Explore efficient fine-tuning techniques and prompt engineering strategies for optimizing large language models in machine learning applications.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

MIT HAN Lab

Efficient Fine-tuning and Prompt Engineering - Lecture 20

Explore efficient fine-tuning techniques and prompt engineering strategies for optimizing large language models in machine learning applications.

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

Prompt Engineering Frameworks & Methodologies

11305 ratings at Udemy

Master Proven Techniques to Design, Tune, and Evaluate High-Performing Prompts for LLMs

• Udemy
• 3 hours 10 minutes
• Self-Paced
• Paid Course

Introduction to Large Language Models

1522 ratings at Coursera

Learn what large language models are, where they can be applied, how prompt tuning improves their performance, and which Google tools help build generative AI apps.

• Coursera
• 52 minutes
• Self-Paced
• Paid Course

Whizlabs

NVIDIA: Prompt Engineering and Data Analysis

Learn prompt design for LLMs with NVIDIA NeMo, apply P-tuning and RAG architecture, then analyze and visualize text data using cuDF and Dask cuDF.

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

Toronto Machine Learning Series (TMLS)

Prompt Optimization and Parameter Efficient Fine Tuning for Large Language Models

Explore state-of-the-art prompt optimization techniques and parameter efficient fine-tuning methods for large language models to enhance performance on various tasks.

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

Introduction to Large Language Models

This micro-learning course explores what large language models (LLMs) are, their use cases, and how to use prompt tuning to enhance performance.

• edX
• 4 weeks, 4-5 hours a week
• Self-Paced
• Free Online Course (Audit)

Graham Neubig

CMU Advanced NLP: Prompting + Sequence-to-Sequence Pre-Training

Explore prompting methods and sequence-to-sequence pre-training, including prompt engineering, prompt-aware training, prompt templates, and answer engineering for NLP models.

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

LLMOps Space

Building the Fine-Tuning Pipeline for Alignment of LLMs

Explore key aspects of aligning LLMs and set up infrastructure for a versatile alignment pipeline. Learn data collection, prompt tuning, and workflow management techniques.

• YouTube
• 45 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