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

Overview: 

Archer Certified - AI Risk Management Foundations is a foundational certification program designed to build a shared baseline across customers, partners, community and internal teams working in risk, compliance, audit, privacy, and governance roles. The program establishes practical foundations in AI fundamentals, a clear-eyed view of how AI creates enterprise risk across its lifecycle, conceptual knowledge of major global AI regulations and standards, and a foundation-level understanding of how Archer supports AI governance programs. Participants will leave the program equipped to contribute meaningfully to their organization's AI risk management efforts without requiring a technical or coding background.

Audience: 

Risk and compliance professionals, audit teams, privacy teams, security governance teams, model risk and technology risk teams, third-party risk teams, product and program owners who sponsor AI use cases, business users, and partners who need a credentialed baseline to position Archer for AI governance engagements.

Delivery Options: 

On-Demand/Self-Paced

Duration: 

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

Prerequisite Knowledge/Skills: 

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

Learning Objectives: 

Upon successful completion of this program and the assessment, certified associates will be able to:

• Explain modern AI systems in plain business terms, removing common misconceptions about how AI behaves compared to traditional software
• Identify the specific ways AI creates enterprise risk at each stage of its lifecycle, from problem framing through retirement
• Apply a standardized risk classification approach to any AI use case using a practical AI risk taxonomy
• Recognize core obligations under major AI regulations and standards, including the EU AI Act and the NIST AI Risk Management Framework
• Apply governance operating model principles, including role assignment, policy design, escalation paths, and incident handling
• Evaluate the evidence requirements that regulators and auditors expect for a defensible AI use case file
• Describe how Archer 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

To Register:

• Clients & Partners: Go to https://id.archerirm.cloud and log in. Employees: Visit your OneLogin page.
• All parties: Click the Archer Academy button to access our portal and search the Store for training of interest.
• New to Archer Training? Click for account setup instructions.