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Large Language Models (LLMs) Concepts

Beginner 2 hours English Course Certificate
SkillsLarge language modelsTransformersNLP conceptsModel trainingAI literacy

Is this course right for you?

Our take
DataCamp opens up the machinery behind ChatGPT-style systems here, without asking you to write any code.

Good for: Understanding how LLMs work, conceptually and without code.

Skip if: You want to build LLM apps or want the full maths.

It walks through how LLMs are trained, the transformer architecture that drives them, the core NLP ideas involved and the real limitations — enough to understand these systems more deeply than a surface primer, minus the maths and the programming. That's the fit: ideal for genuine conceptual depth, not for building apps or getting the full mathematical treatment. Like the rest of DataCamp it's subscription-based (about $14/month annually, first chapter free), with a completion certificate that documents your learning rather than certifying a qualification (as of 2026).

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About this course

Large Language Models (LLMs) Concepts explains the machinery behind ChatGPT-style systems without requiring you to code. It walks through how LLMs are trained, the transformer architecture that powers them, core NLP ideas, and the ethical and environmental costs of building them.

Instructor

VC
Vidhi Chugh
DataCamp instructor

Taught by Vidhi Chugh, an AI strategist and ethicist, who balances the technical mechanics of LLMs with their societal and environmental implications.

Frequently asked questions

No — it is a no-code conceptual course on how LLMs are trained and how transformers work. It rewards putting the ideas into practice, and what you learn transfers well beyond the specific examples used here.

This one goes deeper into LLM machinery — training and the transformer architecture — while Generative AI Concepts is a broader first primer.

Yes — the first chapter is free; the rest needs a DataCamp subscription. It rewards putting the ideas into practice, and what you learn transfers well beyond the specific examples used here.

Around two to three hours. It rewards putting the ideas into practice, and what you learn transfers well beyond the specific examples used here.

Yes — a DataCamp certificate of completion is included with the subscription. It records what you completed rather than acting as an accredited qualification.
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