Course
Introduction to LLMs in Python
Intermediate
Updated 05/2025Start Course for Free
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PythonArtificial Intelligence4 hours11 videos34 Exercises2,700 XP17,705Statement of Accomplishment
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Course Description
Uncover What's Behind the Large Language Models Hype
Large Language Models (LLMs) have become pivotal tools driving some of the most stunning advancements and applications in today's AI landscape. This hands-on course will equip you with the practical knowledge and skills needed to understand, build, and harness the power of LLMs for solving complex language tasks such as translation, language generation, and more.
Discover LLM Architecture and Leverage Pre-Trained Models
Through interactive coding exercises, you'll discover different transformer architectures and how to identify them. You'll explore leveraging pre-trained language models and datasets from Hugging Face for fine-tuning and evaluating your model using advanced metrics that fit LLMs. Finally, you'll find out more about ethical and bias concerns relevant to LLMs and ways to identify these. By the end of this course, you will be able to build LLMs, fine-tune, and evaluate them using specialized metrics while understanding the key challenges and ethical considerations of enabling real-world LLM applications.
Prerequisites
Intermediate Deep Learning with PyTorch1
Getting Started with Large Language Models (LLMs)
2
Fine-tuning LLMs
3
Evaluating LLM performance
Introduction to LLMs in Python
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