Certified AI Program & Portfolio Manager (C-AIPPM)

Certified AI Program & Portfolio Manager (C-AIPPM) Certification Program by Tonex

AI portfolios move fast. Value evaporates without disciplined governance, clear KPIs, and credible oversight. The C-AIPPM program equips leaders to design and steer enterprise AI portfolios that scale, comply, and deliver measurable outcomes. You will learn to stand up cross-functional governance boards, align initiatives to strategy, and prioritize investments with transparent criteria. The program shows how to track benefits, costs, and risks with decision-ready dashboards tied to OKRs and budget cycles.

You will also master vendor due diligence, contract levers, and multi-party risk control for data, models, and services.Cybersecurity impact is front and center. Participants learn how AI governance reduces breach likelihood, strengthens third-party controls, and enforces secure development baselines.

You will map security KPIs to portfolio gates, embed policy in workflows, and prepare for audits without slowing delivery. Practical templates, checklists, and review cadences help you operationalize everything on day one.

The result is a program and portfolio function that is accountable, resilient, and trusted by executives. Graduates leave ready to govern responsibly, measure value, and pass scrutiny from customers, regulators, and boards.

Learning Objectives:

• Establish AI governance boards and decision rights.
• Align portfolio to strategy, risk, and funding.
• Define KPIs, OKRs, and value realization methods.
• Build vendor risk and third-party oversight.
• Prepare and pass internal and external audits.
• Operationalize roadmaps, controls, and reporting.

Audience:

• Program and Portfolio Managers
• PMO Leaders and Executives
• Product Owners and Delivery Managers
• Risk, Compliance, and Audit Professionals
• Data and AI Leaders
• Cybersecurity Professionals

Program Modules:

Module 1: AI Governance & Operating Model

• Define decision rights and RACI.
• Charter governance boards and forums.
• Set policies for data, models, and usage.
• Establish intake, gating, and escalation paths.
• Integrate legal, risk, and finance partners.
• Create a cadence of reviews and approvals.

Module 2: Portfolio Strategy & Prioritization

• Translate corporate strategy into AI themes.
• Build business cases and option analyses.
• Score initiatives with value and risk lenses.
• Balance horizon, complexity, and capacity.
• Roadmap releases and dependency views.
• Manage change, scope, and re-prioritization.

Module 3: KPI Design & Value Realization

• Define outcome KPIs and leading indicators.
• Link KPIs to OKRs and budgets.
• Create baseline, target, and threshold ranges.
• Design dashboards for exec decision-making.
• Track benefits, costs, and cycle time.
• Run benefits realization and retrospectives.

Module 4: Vendor Risk & Third-Party Governance

• Run due diligence on data, models, and security.
• Assess privacy, IP, and licensing exposure.
• Use contract clauses and SLAs for controls.
• Monitor performance, drift, and incidents.
• Map shared responsibility with providers.
• Offboard vendors and transfer knowledge.

Module 5: Assurance, Controls & Audits

• Build control libraries for AI lifecycle.
• Map controls to ISO, NIST, and SOC frameworks.
• Implement evidence collection and retention.
• Execute internal readiness assessments.
• Coordinate external audit engagements.
• Remediate findings and verify closure.

Module 6: Ethics, Risk, and Change Enablement

• Embed fairness, transparency, and safety.
• Run impact assessments and risk acceptance.
• Govern generative AI usage and guardrails.
• Train teams on policy and behaviors.
• Communicate decisions to stakeholders.
• Sustain adoption with incentives and nudges.

Exam Domains:

1. Strategic AI Portfolio Governance
2. Financial and Benefits Realization Management
3. Risk, Compliance, and Ethical Oversight
4. Third-Party and Supply Chain Assurance
5. Performance Measurement and Analytics
6. Audit Readiness and Continuous Improvement

Course Delivery:
The course is delivered through lectures, interactive discussions, case studies, and guided exercises led by experts in Certified AI Program & Portfolio Manager (C-AIPPM). Participants access curated readings, templates, and practical tools to apply concepts in their organizations.

Assessment and Certification:
Participants are assessed through quizzes and assignments. Upon successful completion, participants receive a certificate in Certified AI Program & Portfolio Manager (C-AIPPM).

Question Types:

• Multiple Choice Questions (MCQs)
• Scenario-based Questions

Passing Criteria:
To pass the Certified AI Program & Portfolio Manager (C-AIPPM) Certification Training exam, candidates must achieve a score of 70% or higher.

Elevate your AI governance today. Enroll in C-AIPPM by Tonex. Build trust, reduce risk, and prove value—consistently.