Large Language Models (LLMs) Concepts
DataCamp
Last updated June 30, 2026
A conceptual, no-coding introduction to the large language models behind tools like ChatGPT. It explains what set off the recent surge in LLMs — advances in deep learning, the availability of data, and cheaper computing power — with examples drawn from finance to content creation. From there it opens up the building blocks: the language-processing techniques involved, how models are fine-tuned, the idea of zero-, few-, and multi-shot learning, and training methods such as next-word prediction, masked language modeling, and attention. It closes on the ethical and environmental costs of training these models. You finish able to reason about how LLMs work and where their limits and trade-offs lie. A prior grounding in machine-learning basics is suggested but not required.
What you'll learn
- What large language models are and why they took off
- Core language-processing techniques behind LLMs
- Fine-tuning and zero-, few-, and multi-shot learning
- Training methods: next-word prediction, masked language modeling, and attention
- The ethical, privacy, and environmental costs of building LLMs
Frequently asked questions about Large Language Models (LLMs) Concepts
Is Large Language Models (LLMs) Concepts free?
No — Large Language Models (LLMs) Concepts is a paid course.
What are the prerequisites for Large Language Models (LLMs) Concepts?
Familiarity with machine-learning basics is suggested but not required.
Does Large Language Models (LLMs) Concepts offer a certificate?
Yes. DataCamp Statement of Accomplishment on completion (requires DataCamp Premium).
Why we suggest this course
A way to understand what is actually happening inside a large language model without needing to build one. It names and explains the mechanisms — fine-tuning, few-shot prompting, attention — that most popular coverage waves at, and it is honest about the privacy and environmental costs of training, which gives a newcomer a grounded rather than starry-eyed picture. You can sample the opening chapter before subscribing; the full course and its Statement of Accomplishment are part of DataCamp Premium.