Intermediate ChatGPT
DataCamp
Last updated June 30, 2026
A follow-on course for people already comfortable with the basics of ChatGPT who want to go deeper. It opens by demystifying how GPT models are actually built — the evolution of large language models, and the ideas of transformers, tokenization, and self-attention (the mechanisms that let the model weigh which words matter) — and traces advances across successive GPT generations, including how they are trained through pre-training, fine-tuning, and reinforcement learning from human feedback (RLHF). It then moves to advanced prompt techniques, such as using structured tags and few-shot prompting (giving the model a handful of examples to follow), and finishes on customization: setting up custom instructions, personalized assistants, and Custom GPTs. It is a non-coding course. 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
- How GPT models evolved across generations
- Transformers, tokenization, and self-attention explained
- Training (pre-training, fine-tuning, RLHF)
- Advanced prompt crafting (structured tags, few-shot)
- Custom instructions and personalized assistants
- Building and deploying Custom GPTs
Frequently asked questions about Intermediate ChatGPT
Is Intermediate ChatGPT free?
No — Intermediate ChatGPT is a paid course.
What are the prerequisites for Intermediate ChatGPT?
Familiarity with prompt engineering and ChatGPT (e.g. Understanding Prompt Engineering).
Does Intermediate ChatGPT offer a certificate?
Yes. DataCamp Statement of Accomplishment on completion (requires DataCamp Premium).
Why we suggest this course
The right next step for someone who can already prompt ChatGPT competently and now wants to understand the machine underneath and squeeze more out of it. It does something many beginner courses skip — explaining the model's architecture in accessible terms — which makes the advanced prompting techniques land with real understanding rather than as tricks. One thing to know: it assumes prior familiarity with prompt engineering and ChatGPT, and while the opening chapter is free to try, the full course and its Statement of Accomplishment require DataCamp Premium.