Large Language Models for Business
DataCamp
Last updated August 15, 2026
A non-technical course on what large language models (the AI systems behind tools like ChatGPT) are and how they are changing the way businesses work. It builds confidence with the common terminology and techniques of the current AI era, then looks at how leading organizations are already putting these models to use — so you can recognize when applying one yourself makes sense. It also tackles the harder questions: the ethical and environmental sides of using large language models in business, including data privacy and sustainability. It is conceptual rather than code-based. You can sample the opening chapter before subscribing; the full course and its Statement of Accomplishment are part of DataCamp Premium.
What you'll learn
- What a large language model is, in plain terms
- Key terminology and techniques of the AI era
- How leading organizations apply LLMs today
- Recognizing when an LLM is the right tool
- Ethical considerations including data privacy
- Environmental and sustainability impact
Frequently asked questions about Large Language Models for Business
Who is Large Language Models for Business for?
Professionals who want a grounded, hype-free understanding of what large language models mean for business — entirely non-technical.
Is Large Language Models for Business free?
No — Large Language Models for Business is a paid course. The opening chapter is free to sample; the full course and its Statement of Accomplishment need DataCamp Premium.
What are the prerequisites for Large Language Models for Business?
None.
Does Large Language Models for Business offer a certificate?
Yes. DataCamp Statement of Accomplishment on completion (requires DataCamp Premium).
Why we suggest this course
A solid orientation for any professional who keeps hearing about large language models and wants a grounded, hype-free understanding of their impact and limits. It opens with a useful framing — these models "aren't magic" — and balances the business opportunity against real costs like privacy and sustainability, rather than selling the technology.