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Master AI Accountant & CPA Certification · Digital course

MAAC Level 6 — Certified AI Accounting Instructor

Self-paced enrollment in Level 6 of the Master AI Accountant & CPA Certification: Teach AI to accountants: design sessions around the firm calendar and real engagement work, facilitate a room of CPAs and staff, run demonstrations and labs on data that contains no taxpayer information, assess judgment rather than recall, deliver accessibly, and pass a teach-back judged against a published instructor rubric.

Modules
14
Estimated time
40 hours
Access
Self-paced

Single-user enrollment

$599.00

One-time purchase

Enrollment includes

Controlled AI training built for accounting work

Evaluate AI tools for accounting use cases, limitations, data handling, and control requirements.

Design prompts and review procedures that produce traceable, decision-ready work.

Apply AI to close, reporting, tax, audit, forecasting, and financial analysis workflows.

Automate repetitive processes without removing approvals, reconciliations, or accountability.

Curriculum at a glance

From AI fundamentals to accounting firm growth

View all 14 modules
  1. Module 01

    Teaching Accounting Professionals: Designing for the Behaviour at the Desk

    The instructor tier opens with the people in the room: expert, sceptical accountants whose use of AI varies widely. What the survey evidence lets an instructor say, the training firms are already expected to support, why instruction alone does not stop automation bias, and how to design for the check at the desk. Every teaching approach is practice, not a research finding.

  2. Module 02

    Designing a Session Backwards From the Behaviour

    Start from what a learner must do on Monday, drawn from what IRS guidance, the AICPA tax standards, one state board and the IESBA Code actually expect. Scope the session by task using COSO's GenAI capability types, line up objectives, activities and evidence, and cut what does not serve the behaviour. Backward design is taught as practice, not as a proven method.

  3. Module 03

    Curriculum Accuracy and Keeping Material Current

    An instructor who teaches a rule wrongly repeats the error for every learner. Worked through real changes: a renumbered OWASP list, superseded banking guidance, a Colorado law repealed before it took effect, a Circular 230 proposal still not final and QC 1000 amendments awaiting SEC approval. Then a currency log and a way to correct what was taught.

  4. Module 04

    Facilitating a Room of Sceptical Professionals

    Partners who argue and staff afraid to look slow need different things from the same hour. How to answer challenges with evidence that keeps its caveats: algorithm aversion beside automation bias, the jagged frontier by analogy, what the exam studies and one benchmark really tested, and firms that bar AI. Facilitation here is practice, not a research finding.

  5. Module 05

    Running a Demonstration That Shows the Tool Failing

    A demonstration that shows only success shows half the tool. How to script a demonstration on fictional data that surfaces confabulated citations, logic that sounds right, fabricated accounting authority and tax arithmetic errors, then models the check against the primary source. Every figure keeps its caveats, and no model or vendor is named or ranked.

  6. Module 06

    Designing Hands-On Labs on Fictional Clients and Data

    Why real client data stays out of the training lab, even with names removed: sections 7216 and 6713, the regulation that keeps de-identified compilations protected, the AICPA confidentiality rule, stricter rules in Texas and California, Safeguards Rule duties and public tools that may train on inputs. Then how to build fictional ledgers and returns, and run the debrief.