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AI for Accounting Professionals
Rating: 5.0 out of 5(1 rating)
46 students

AI for Accounting Professionals

Use AI across the full accounting cycle with hands-on labs on real, messy data — accuracy and guardrails built in.
Created byDr. Amar Massoud
Last updated 9/2026
English
English [Auto],

What you'll learn

  • Decide when a task needs generative AI vs traditional machine learning
  • Use AI to review contracts and draft ASC 606 revenue schedules — then validate them
  • Generate and 3-way-match invoices, and catch pricing and quantity errors
  • Prioritize AR collections and draft compliant, tiered dunning sequences
  • Categorize expenses, flag policy violations, and audit receipts for fraud
  • Run touchless accounts payable with the right human-in-the-loop threshold
  • Reconcile accounts, draft journal entries, and write flux/variance commentary
  • Build driver-based forecasts, run scenarios, and auto-draft board narratives
  • Surface anomalies and journal-entry-testing red flags — and know where AI stops
  • Turn numbers into a board deck, MD&A, and exec commentary with source traceability
  • Apply data-privacy, human-sign-off, and audit-trail guardrails to every AI workflow
  • Build a finance-team AI policy and measure real adoption ROI

Course content

8 sections • 31 lectures • 3h 43m total length

  • Welcome — Why This Course Is Different7:45
  • What Generative AI Actually Is — For Accountants3:33
  • The Tool Landscape — General Assistants vs Specialized Platforms4:47
  • Ground Rules — Data Privacy, Confidentiality, Controls, Audit Trail5:45
  • Meet NovaBridge — And Your Master Dataset8:43
  • Redact It, Then Prompt It — A Data-Safety Judgment Drill

Requirements

  • Familiarity with the basic accounting cycle (journal → ledger → trial balance → statements)
  • Comfort with debits/credits and working in Excel or Google Sheets
  • No prior AI, prompting, or coding experience needed — we teach it from scratch
  • Access to a general AI assistant (free tiers of ChatGPT/Claude/Copilot are fine)

Description

This course contains the use of artificial intelligence.

Stop watching AI demos. Start doing the work. Most "AI for accounting" courses show you prompts on the instructor's screen and hand you nothing to practice on. This course is different: you work a single, realistic, deliberately-flawed dataset for a fictional SaaS company — NovaBridge, Inc. — across the entire accounting cycle, and you catch what the AI (and the data) got wrong.

You'll use the tools you actually have access to — ChatGPT, Claude, and Microsoft Copilot (including Excel Copilot) — as your daily driver, then see how enterprise finance teams run the same jobs on specialized platforms like Trullion, Bill, HighRadius, Ramp, Vic, BlackLine, FloQast, Datarails, and MindBridge.

What makes this practical:

  • One recurring dataset — a general ledger, trial balance, AR aging, invoice batch, expense export, customer contract, bank feed, and actuals-vs-budget, all seeded with realistic errors to find.

  • A downloadable Lab Kit for every lecture — the artifact, a copy-paste prompt pack, a step-by-step exercise, an answer key, and a validation checklist.

  • Guardrails baked into every lab — never paste client data into public models, keep a human sign-off, recompute every figure, and preserve an audit trail. This is accounting-grade AI, not clever prompting.

  • A capstone — run NovaBridge's full month-end close end-to-end with AI.

You'll move through the real cycle: revenue recognition (ASC 606), billing & invoicing, collections, expense & AP automation, the month-end close, forecasting & FP&A, anomaly & fraud detection, and board-ready reporting — plus how to govern AI use on a finance team (NIST AI RMF, AICPA confidentiality) and roll it out with measured ROI.

Whether you're a staff accountant, controller, AP/AR specialist, FP&A analyst, bookkeeper, or a CFO evaluating AI, you'll finish able to use AI on Monday morning — and know exactly where AI helps, where human judgment is mandatory, and how to validate every result.

Who this course is for:

  • Staff and senior accountants who run the close and reconciliations
  • Controllers and accounting managers overseeing reporting and controls
  • AP/AR specialists and bookkeepers handling billing, collections, and expenses
  • FP&A analysts building forecasts and variance analysis
  • CFOs and finance leaders at small and mid-sized businesses evaluating AI
  • Audit associates encountering AI-assisted procedures

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