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Master AI Accountant & CPA Certification · Digital course

MAAC Level 4 — Master AI Accountant & CPA Certification

Self-paced enrollment in Level 4 of the Master AI Accountant & CPA Certification: Lead AI in an accounting practice or finance function: advanced applications in assurance, tax advisory, and forecasting; firm-level governance and model risk management; vendor and security assessment; the regulatory and independence landscape; and independent verification of AI in internal control over financial reporting.

Modules
5
Estimated time
18 hours
Access
Self-paced

Single-user enrollment

$649.00

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 5 modules
  1. Module 01

    Advanced Applications in Assurance, Tax, and Advisory

    Take AI into the hardest professional work — audit risk assessment, complex written tax advice, and forecasting and valuation support — and document exactly what the model contributes and what the licensed professional does alone.

  2. Module 02

    Governance and Accountability

    Build a firm AI governance programme — policy, inventory, named owners, and model risk management adapted from banking supervisory guidance — that fits the AICPA and PCAOB quality management standards and places accountability where the professional rules already put it.

  3. Module 03

    Security, Privacy, and Vendor Assessment

    Assess an AI vendor from its SOC 2 report, contract, data residency, and section 7216 posture; specify the access, encryption, logging, and retention controls the Safeguards Rule requires; and apply the SSTS data-protection standard and state board confidentiality rules to AI processing.

  4. Module 04

    Regulatory and Ethical Risk

    Survey the AI regulatory landscape that touches accountants and their clients — state AI laws, SEC cybersecurity disclosure, state boards — and work through independence when a firm provides AI services to attest clients and bias, fairness, and explainability in AI-influenced accounting decisions.

  5. Module 05

    Leadership, Implementation, and Independent Verification

    Lead an AI programme across a firm or finance function with a roadmap, change management, and training; independently verify AI-dependent controls in internal control over financial reporting under SOX section 404, AS 2201, and COSO; and prepare for the comprehensive scenario examination.