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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
15
Estimated time
14 hours
Access
Self-paced

Single-user enrollment

$499.00

One-time purchase
Review the complete curriculum

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 15 modules
  1. Module 01

    Introduction to Artificial Intelligence

    Understand how modern AI systems work, where they fail, and how to evaluate models and tools before introducing them into an accounting workflow.

  2. Module 02

    Professional Ethics

    Apply confidentiality, objectivity, due care, professional judgment, and accountability when AI contributes to client work or financial decisions.

  3. Module 03

    Prompt Engineering

    Build repeatable prompts with clear context, constraints, source material, and verification steps for reliable accounting and finance outputs.

  4. Module 04

    Financial Accounting

    Use AI to support transaction classification, journal-entry preparation, reconciliations, close procedures, and financial reporting while preserving human review.

  5. Module 05

    Managerial Accounting

    Strengthen budgeting, costing, forecasting, variance analysis, and management decision support with AI-assisted analysis and scenario modeling.

  6. Module 06

    Tax

    Use AI carefully for tax research, document extraction, planning scenarios, and workpaper preparation while recognizing citation, currency, and hallucination risks.