Master AI Accountant & CPA Certification · Level 1
Move from foundational AI literacy to controlled, auditable applications across accounting, tax, audit, analysis, and firm operations.
Six-level pathway
Levels are completed in order. Each has its own modules, knowledge checks, final examination, and certificate; Levels 3 to 5 add a reviewed capstone and Level 6 a teach-back assignment.
Level 1 · Foundations
14 hours · 15 modules · Open for enrollment
Level 2 · Certified Professional
14 hours · 5 modules · Open for enrollment
Level 3 · Advanced Operations
16 hours · 5 modules · Open for enrollment
Level 4 · Master Certification
18 hours · 5 modules · Open for enrollment
Level 5 · Automation Specialist
16 hours · 5 modules · Open for enrollment
Level 6 · Certified Instructor
15 hours · 5 modules · Open for enrollment
Course outline
Each module connects core AI capability to the controls, judgment, and documentation expected in professional accounting work.
Module 01
3 lessonsUnderstand how modern AI systems work, where they fail, and how to evaluate models and tools before introducing them into an accounting workflow.
Module 02
3 lessonsApply confidentiality, objectivity, due care, professional judgment, and accountability when AI contributes to client work or financial decisions.
Module 03
3 lessonsBuild repeatable prompts with clear context, constraints, source material, and verification steps for reliable accounting and finance outputs.
Module 04
3 lessonsUse AI to support transaction classification, journal-entry preparation, reconciliations, close procedures, and financial reporting while preserving human review.
Module 05
3 lessonsStrengthen budgeting, costing, forecasting, variance analysis, and management decision support with AI-assisted analysis and scenario modeling.
Module 06
3 lessonsUse AI carefully for tax research, document extraction, planning scenarios, and workpaper preparation while recognizing citation, currency, and hallucination risks.
Module 07
3 lessonsExplore AI-assisted planning, risk assessment, evidence review, anomaly detection, sampling, and workpaper documentation without weakening professional skepticism.
Module 08
3 lessonsAnalyze statements, ratios, cash flow, trends, anomalies, and forecasts, then turn the results into decision-ready explanations for stakeholders.
Module 09
3 lessonsMap accounting processes, identify suitable automation opportunities, define controls and exception paths, and measure operational value.
Module 10
3 lessonsConnect clean financial data to useful metrics, dashboards, and management reporting that support timely, traceable decisions.
Module 11
3 lessonsProtect financial and client data through access controls, retention rules, vendor assessment, monitoring, incident response, and documented governance.
Module 12
3 lessonsDesign narrowly scoped accounting agents with approved tools, reliable data access, human approval gates, testing, and ongoing monitoring.
Module 13
3 lessonsPlan secure connections among AI tools, accounting platforms, data stores, and APIs with validation, reconciliation, and change management.
Module 14
3 lessonsTurn AI capability into stronger client service, scalable advisory offerings, practical pricing, staff adoption, and responsible firm growth.
Module 15
3 lessonsAssess emerging capabilities, regulation, workforce changes, and strategic choices so you can build an adaptable long-term AI roadmap.
Learning outcomes
Assessment
The final assessment checks your ability to apply the curriculum across realistic accounting and finance scenarios, not simply recall terminology.
Start with the foundations, controls, and applied workflows covered across the complete Level 1 curriculum.
MAAC is an independent professional education program offered by AI Coalition Network. It is not a professional license, does not replace licensing or regulatory requirements, and is not endorsed by any regulator, licensing authority, or professional body. No professional education hours or approvals are claimed.