Developing Large Language Models

Uppdaterad 2026-03

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

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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 models, like OpenAI's GPT-4, and Meta's Llama 3.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.

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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
Deep Learning for Text with PyTorch
Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.
Project
Bonus
Service Desk Ticket Classification with Deep Learning
Use deep learning to automate the classification of service desk tickets.
Course
7
Transformer Models with PyTorch
What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.
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.