CourseraIntermediate · 3 hours

Selecting the Right LLM with Hugging Face

What this course answers

An intermediate, three-hour course on choosing the right large language model from the Hugging Face Hub. You learn to navigate the Hugging Face ecosystem, compare models on computational needs, specialisation and practical constraints, use a model in code, and score candidate models' results to pick the best one for a task.

For: Python developers who already use LLMs programmatically and need to choose models for real projects.
Time: 3 hours

Last verified
25 Sep 2026

What you will be able to do

Navigate the Hugging Face ecosystem
Compare models on technical factors and practical considerations
Use a model from Hugging Face in code
Score candidate models' results to choose the best model for a task

Curriculum

01Selecting the Right LLM with Hugging FaceNavigating the Hugging Face Hub, analysing model characteristics such as computational needs and specialisations, and matching models to project requirements.

Lesson list to be added.

Prerequisites

Strong foundation in Python programming
Basic understanding of LLMs and their programmatic use

Frequently asked questions

Do I get a certificate?

Yes. Coursera issues a shareable certificate when you complete the course.