Archer Certified - AI Risk Management Foundations (Course + Exam)

This foundational certification program builds a shared baseline for customers, partners, and internal teams working in risk, compliance, audit, privacy, security governance, and related roles. The program introduces practical AI fundamentals, how AI creates enterprise risk across its lifecycle, key global AI regulations and standards, and how Archer supports AI governance programs. No technical or coding background is required.

Audience

Risk and compliance professionals, audit teams, privacy teams, security governance teams, model and technology risk teams, third‑party risk teams, product and program owners sponsoring AI use cases, business users, and partners seeking a credentialed baseline in AI governance.

Delivery Format

On‑Demand / Self‑Paced

Duration

Approximately 8–10 hours across eight modules, plus assessment.

Cost

500 training credits

Prerequisite Knowledge

General familiarity with risk and compliance concepts is helpful. No coding or technical background required.

Learning Objectives

Certified associates will be able to:

• Explain modern AI systems in plain business terms, clarifying how AI differs from traditional software
• Identify how AI introduces enterprise risk at each stage of its lifecycle
• Apply a standardized AI risk classification approach using a practical taxonomy
• Recognize core obligations under major AI regulations and standards, including the EU AI Act and NIST AI RMF
• Apply governance operating model principles—roles, policies, escalation paths, and incident handling
• Evaluate evidence requirements expected by regulators and auditors for defensible AI use case files
• Describe how Archer AI Governance supports AI intake, inventory, classification, assessment, workflow automation, and audit‑ready reporting

Course Outline

• Module 1: AI Foundations for Risk and Governance Professionals 
• Module 2: AI Lifecycle and Operational Risk Points 
• Module 3: Practical AI Risk Taxonomy 
• Module 4: Governance Foundations and Operating Model 
• Module 5: Risk Management Frameworks (2026 Update) 
• Module 6: Global AI Regulations and Policy Themes 
• Module 7: Controls and Evidence That Stand Up in Reviews 
• Module 8: Archer AI Governance Solution Foundations
• Practice Exam 
• AI Risk Management Foundations Certification Exam