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Master AI Accountant & CPA Certification · Digital course

MAAC Level 1 — AI Foundations for Accounting

Self-paced enrollment in the 15-module MAAC Level 1 curriculum, covering responsible AI across reporting, analysis, tax, audit, automation, security, integrations, agents, and firm growth.

Modules
16
Estimated time
40 hours
Access
Self-paced

Single-user enrollment

$499.00

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 16 modules
  1. Module 01

    Modern Artificial Intelligence for Accounting Professionals

    What the systems sold as "AI" actually are, and why that changes how you check them. This module separates rules, machine learning and generative AI, explains how language models produce an answer, opens up the retrieval, tools and agents inside accounting products, and maps tool categories to COSO's capability types and to what the evidence says about use.

  2. Module 02

    What AI Can and Cannot Reliably Do With Financial Information

    Fluent output can be wrong in ways an accountant must learn to predict. This module covers invented and stale authority, arithmetic, tie-out, rounding and sign errors on long ledgers, how to read accuracy studies for what they actually tested, and the twin traps of automation bias and algorithm aversion.

  3. Module 03

    Client Confidentiality, Tax Return Information and Data Privacy

    Before client data goes into any AI tool, you need to know what the data is, which rules protect it and whom they bind. This module covers tax return information under section 7216 and its regulations, the narrow contractor exception and consent, the FTC Safeguards Rule and the written security plan, the AICPA confidentiality rule, and a repeatable data decision.

  4. Module 04

    Professional Responsibility and AI for Accountants

    An AI tool changes how accounting work gets done, not who answers for it. This module covers the AICPA Code duties for members, the tax standard on relying on tools, Circular 230 due diligence, competence and firm procedures as the IRS Office of Professional Responsibility applies them to AI, supervision, and how to check your own state board rules.

  5. Module 05

    AI-Assisted Tax and Accounting Research

    AI can help an accountant find the way into a research question, but it is never the authority a conclusion rests on. This module builds a safe research workflow, explains what the GAAP hierarchy treats as authoritative, verifies every citation against the primary source, and records the research path so a reviewer can follow it.

  6. Module 06

    Prompt Engineering for Accounting Professionals

    A good accounting prompt supplies the figures and the authority instead of asking the tool to recall them, pins down the entity and period, requires a tie-out, and ends with a reviewer. This module builds that structure, checks what may be pasted before prompting, shows how to iterate and when to stop, and gives patterns for everyday drafts.