AI for Finance
DataCamp
Last updated August 16, 2026
A practical course for finance professionals who want AI to speed up the analytical and reporting work that fills their week — combing filings, summarizing earnings calls, drafting first-pass analysis, and spotting trends. It starts with prompting techniques tuned for finance: writing prompts that return accurate, relevant results, telling the difference between using AI to augment work versus automate it, and understanding the real risks of leaning on AI in a regulated, numbers-sensitive field. From there it moves to applied analysis — working with earnings-call transcripts, running tone analysis, and weaving narrative commentary together with market data to produce investment notes and executive summaries — and on to designing repeatable AI-assisted finance workflows. 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
- Prompting techniques tuned for finance
- Augmentation versus automation, and when each fits
- Risks and limits of AI in a regulated field
- Analyzing earnings-call transcripts and tone
- Combining narrative with market data to draft investment notes and executive summaries
Frequently asked questions about AI for Finance
Who is AI for Finance for?
Finance professionals who want AI to speed up analysis and reporting — from filings and earnings calls to investment notes — without writing code.
Is AI for Finance free?
No — AI for Finance 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 AI for Finance?
Familiarity with general chatbot use (e.g. Introduction to ChatGPT).
Does AI for Finance offer a certificate?
Yes. DataCamp Statement of Accomplishment on completion (requires DataCamp Premium).
Why we suggest this course
Built specifically for finance work, not a generic prompting course wearing a finance label: the exercises use earnings calls, filings, tone analysis, and investment notes, and it is candid about where AI is risky in a domain where a wrong number matters. No coding is required. One thing to know: it expects familiarity with general chatbot use going in, so it builds on prompting basics rather than teaching them cold.