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A task-specific course for US and UK finance professionals. Learn to use ChatGPT, Claude, and Microsoft 365 Copilot to speed up variance commentary, flux analysis, accruals, reconciliations, board packs, regulatory drafting, and ledger anomaly detection during month-end close. Built for controllers, FP&A managers, and finance managers. No coding required.
4 módulos • 10 lecciones

Build rolling forecasts and budgets faster, automate plan-vs-actual variance commentary, run scenario and headcount planning, and turn your numbers into board-ready decks. A practical, no-code course for corporate FP&A analysts, finance managers, and CFO-office staff using ChatGPT, Claude, and Microsoft 365 Copilot.

A practical, beginner-friendly guide to using AI in your daily finance work. Learn to analyse financial statements, write board reports, automate repetitive tasks, and build an AI workflow — with real prompts you can use immediately.

Learn practical ways to use AI in finance and accounting: financial analysis, report generation, data extraction, forecasting, audit preparation, tax research, client communication, and automation while understanding compliance considerations.

Build a fully linked income statement, balance sheet, and cash flow statement for a small sample company, with every number provided so you can check your work at each step. Use AI to explain the links, pressure-test assumptions, write spreadsheet formulas, debug a model that does not balance, and summarize scenarios. Works in Google Sheets or Excel. No finance degree needed.

Learn how to use AI tools to transform your work as a financial advisor. Discover practical techniques for client meeting prep, portfolio and market commentary, financial planning, and compliant client communications — with the privacy and SEC/FINRA guardrails that matter. No coding required. Earn a free certificate for your LinkedIn and resume.

An advanced, hands-on course for buy-side and sell-side equity research analysts. Use AI to analyze earnings calls and 10-Ks, build a sector coverage thesis, construct and stress-test comparable company analysis, source and red-team DCF assumptions, draft equity research reports, build sector-coverage assistants, and stay inside MNPI, Reg FD, and research-independence lines.