DataCamp

Introduction to LLMs in Python

Intermediate 3 hours English Course Certificate
Our recommendation
A DataCamp course that turns LLM theory into working code. Across about three hours of interactive exercises you identify transformer architectures, use pre-trained models and datasets from Hugging Face, and fine-tune models. Hands-on and practical for people who can already code Python and want to work with LLMs directly.

Good for: Getting hands-on with LLMs in Python via Hugging Face.

Less suitable if: You cannot code Python or want a no-code conceptual course.

Skills you'll gain

Large language modelsPythonHugging FaceTransformersFine-tuningNLP

Is this course right for you?

A good fit if you…

You can code Python
You want hands-on LLM work
You want to use Hugging Face models

Consider something else if you…

You cannot yet code Python
You want a no-code overview
You want deep ML theory

Requirements: Python; some ML familiarity. Fine-tuning may need GPU compute.

Realistic time: Around 3 hours.

About this course

Introduction to LLMs in Python turns LLM theory into working code. Across about three hours of interactive exercises you identify different transformer architectures, use pre-trained models and datasets from Hugging Face, and fine-tune and evaluate models for tasks like translation and text generation.

What you'll learn

Identify transformer architectures
Use pre-trained models from Hugging Face
Build pipelines for language tasks
Fine-tune an LLM on your data
Evaluate model performance
Apply LLMs to translation and generation

This course includes

3h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language

What it costs

DataCamp runs on a subscription — roughly $14/month billed annually (more month-to-month), with the first chapter of each course free to try. A certificate of completion is included with the subscription. Fine-tuning larger models can require paid GPU compute, separate from DataCamp.

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Is the certificate recognised?

DataCamp includes a certificate of completion with your subscription — a useful learning record rather than a formal or accredited qualification.

Instructor

JL
Jasmin Ludolf
DataCamp instructor

Created by a DataCamp team led by Jasmin Ludolf, a senior data science and AI content developer, with applied NLP practitioners.

About this provider

DA
DataCamp
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Frequently asked questions

Yes — it is hands-on in Python, using Hugging Face models and datasets.
Fine-tuning larger models can need paid GPU compute, separate from your DataCamp subscription; smaller exercises are fine on modest resources.
Yes — the first chapter is free; the rest needs a DataCamp subscription.
Around three hours.
Yes — a DataCamp certificate of completion is included with the subscription, as a learning record.
Paid
DataCamp subscription · from $29/mo
Enroll now