DADataCamp
Large Language Models (LLMs) Concepts
Beginner 2 hours English Completion Certificate
What you'll learn
Explain how large language models are trained
Understand the transformer architecture at a high level
Grasp core NLP concepts like tokens and embeddings
Distinguish pre-training from fine-tuning
Reason about LLM capabilities and failure modes
Weigh the ethical and environmental costs of LLMs
This course includes
2h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
Comparison · LBS
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- Beginner
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Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.
Instructor
VC
Vidhi Chugh
DataCamp instructor
— learners— courses — instructor rating
Taught by Vidhi Chugh, an AI strategist and ethicist, who balances the technical mechanics of LLMs with their societal and environmental implications.
Requirements
- No coding required; basic AI familiarity helps
Who this course is for
- Professionals who want to understand LLMs deeply
- Analysts and PMs working alongside AI teams
- Curious learners beyond the basics
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 conceptual, not hands-on — no coding — but it goes deeper than a basic intro, covering transformers, training, and NLP fundamentals.
Generative AI Concepts is the broad, beginner overview; LLMs Concepts zooms in specifically on how large language models work. Take Concepts first if you're new.
About two hours.
No — it's about understanding them. For building, take Working with the OpenAI API or Developing LLM Applications with LangChain.
The first chapter is free; the rest is on a DataCamp subscription (~$29/month annually), with a statement of accomplishment on completion.