This course offers a theoretical introduction to Large Language Models, focusing on how they are built, trained, and used in real-world applications.

You’ll learn the basics of language modeling, the role of transformer architecture, and key techniques like pre-training, fine-tuning, and transfer learning. 

Led by Andreea Turcu, this course also includes hands-on work with LLM DataStudio and covers how to evaluate and improve model performance.

 

 

What you'll learn

  • Foundations of Language Models
    Understand what language models are, how they work, and their role in natural language processing.
  • Neural Networks, Deep Learning, and Transformer Architecture
    Learn the core concepts behind modern LLMs, including how transformers power these models.
  • Pre-training, Fine-tuning, and Performance Evaluation
    Gain practical skills in training, adapting, and benchmarking large language models.
  • Real-World Applications and Use Cases
    Explore how LLMs are used across industries, from text generation to advanced NLP solutions.

Course Playlist on YouTube

LLM Learning Path - Craft Your Language Model Success with H2O.ai!
LLM Learning Path - Craft Your Language Model Success with H2O.ai!

🚀 Unveiling the Ultimate LLM Learning Path – Your Gateway to Language Models Mastery! 🎓

Mastering Language Models : LLMs Level 1 Course | Teaser
Mastering Language Models : LLMs Level 1 Course | Teaser

#ailearning #tutorial

LLMs Level 1 Course Teaser - Foundations of Large Language Models
LLMs Level 1 Course Teaser - Foundations of Large Language Models

Explore the transformative potential of Large Language Models in this foundational course. Learn about the evolution of language models, neural net...

Demystifying Language Models: A Beginner's Guide
Demystifying Language Models: A Beginner's Guide

Welcome to Part 1 of our Language Models Fundamentals Course with H2O.ai!

Unlocking Language Models: From Basics to Advanced LLMs
Unlocking Language Models: From Basics to Advanced LLMs

Welcome to Part 2 of our Language Models Fundamentals Course with H2O.ai!

Transformers: The Heart of Large Language Models
Transformers: The Heart of Large Language Models

Welcome back to our journey with h2o.ai, where we continue our exploration of Large Language Models (LLMs) in our H2O University and Certification ...

Fine-Tuning Transformers for Specific Tasks
Fine-Tuning Transformers for Specific Tasks

Welcome to Part 2 of our second chapter in the LLM Learning Path Series!

Unlocking the Power of LLM Architecture: Transfer Learning and Adaptation
Unlocking the Power of LLM Architecture: Transfer Learning and Adaptation

🚀 Unlock the power of transfer learning and adaptation in machine learning with our comprehensive course! 🤖

 

Quiz Me if You Can!

 headshot

Andreea Turcu, Head of Global Training

Andreea is a data scientist with over 7 years of experience in demystifying AI and Data Science concepts for anyone keen on working in this exciting field using cutting-edge technology. Having obtained a Master’s Degree in Quantitative Economics and Econometrics from Lumière Lyon 2 University, she enjoys integrating machine learning principles with real-world applications. Andreea’s passion lies in developing engaging training programs and ensuring an optimal customer education journey. As she frequently likes to remark, “AI is essentially Economics turbocharged by data, with a sprinkle of innovation.”

You can view her LinkedIn profile HERE.