Developing Large Language Models

Updated 07/2026

Learn to develop large language models (LLMs) with PyTorch and Hugging Face, using the latest deep learning and NLP techniques.

Track Description

Developing Large Language Models

Start your journey to developing Large Language Models (LLMs) today! In this track, you'll learn about the latest techniques for developing state-of-the-art language models responsible for the recent boom in generative AI, like OpenAI's GPT models and Anthropic's Claude.Master deep learning with PyTorch to discover how neural networks can be used to model patterns in unstructured data, such as text. Discover how the transformers architecture has revolutionized text modeling, and how to leverage the variety of pre-trained LLMs available from Hugging Face. Finally, learn about the challenges and strategies involved in building and deploying LLMs, from inception to real-world application.

Prerequisites

There are no prerequisites for this track

Course
1
Introduction to LLMs in Python
Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!
Project
bonus
Analyzing Car Reviews with LLMs
Use LLMs to solve diverse language tasks for a car dealership company.
Course
3
Working with Llama 3
Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.
Project
bonus
Classifying Emails using Llama
Build an AI-powered inbox assistant to classify your emails using Llama.
Course
5
Natural Language Processing (NLP) in Python
Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.
Course
6
Transformer Models with PyTorch
What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.
Course
7
Scalable AI Models with PyTorch Lightning
Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!
Course
8
Reinforcement Learning from Human Feedback (RLHF)
Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.
Course
9
LLMOps Concepts
Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

Developing Large Language Models

7 Courses

Track
Complete

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Developing Large Language Models

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Track Description

Developing Large Language Models

Prerequisites

Introduction to LLMs in Python

Analyzing Car Reviews with LLMs

Working with Llama 3

Classifying Emails using Llama

Natural Language Processing (NLP) in Python

Transformer Models with PyTorch

Scalable AI Models with PyTorch Lightning

Reinforcement Learning from Human Feedback (RLHF)

LLMOps Concepts

Earn Statement of Accomplishment

Join over 19 million learners and start Developing Large Language Models today!

Grow your data skills with DataCamp for Mobile

Track Description

Developing Large Language Models

Earn Statement of Accomplishment

Join over .css-nklxlk{color:var(--wf-brand--main, #03EF62);}19 million learners and start Developing Large Language Models today!

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Grow your data skills with DataCamp for Mobile

Join over 19 million learners and start Developing Large Language Models today!