DADataCamp
Introduction to LLMs in Python
Intermediate 3 hours English Completion Certificate
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
Comparison · LBS
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Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.
Instructor
JL
Jasmin Ludolf
DataCamp instructor
— learners— courses — instructor rating
Created by a DataCamp team led by Jasmin Ludolf, a senior data science and AI content developer, with applied NLP practitioners.
Requirements
- Python experience; some Hugging Face familiarity
Who this course is for
- Python developers entering NLP
- Data scientists using LLMs
- ML engineers fine-tuning models
About this provider
DA
DataCamp
Data science and analytics learning platform. 10M+ learners, hands-on coding exercises.
4.4 trust score
Frequently asked questions
It's intermediate — it assumes Python experience and some Hugging Face familiarity. Start with the LLMs Concepts course if you're new to the topic.
Yes — it leverages pre-trained models and datasets from Hugging Face for fine-tuning and evaluation.
About three hours of hands-on exercises.
Yes — DataCamp provides a shareable statement of completion.
A subscription from around $29/month, with limited free access to the first chapter.