AI Portfolio Management
Establish, govern, prioritize, optimize, and continuously monitor enterprise AI portfolios — based on the PMI Standard for Artificial Intelligence in Portfolio, Program, and Project Management.
A 12-module instructor-led course for leaders who set enterprise AI investment strategy — covering portfolio governance, investment prioritization, risk, Responsible AI, and long-term value realization at scale.
12
Modules
48
Learning Objectives
12
Course Outcomes
24
PDUs Available
Strategic AI Investment Leadership
By the end of this course, participants will be able to establish, govern, prioritize, optimize, and continuously monitor enterprise AI portfolios to maximize strategic value, manage organizational risk, and ensure responsible AI adoption across the enterprise. Based on the PMI Standard for Artificial Intelligence in Portfolio, Program, and Project Management, this course is built for leaders who set and steer AI investment strategy across the whole organization.
Investment Prioritization
Evaluate and rank AI initiatives against strategic value and risk.
Portfolio Governance
Stand up governance boards and executive steering committees.
Enterprise Risk
Integrate AI portfolio risk into enterprise risk management.
Portfolio Optimization
Rebalance, retire, and modernize AI initiatives continuously.
Built for Enterprise AI Investment Leaders
Curriculum
Learning Objectives by Module
Foundations of AI Portfolio Management
- Explain the principles and practices of AI Portfolio Management.
- Differentiate between AI portfolios, AI programs, and AI projects.
- Understand the strategic role of AI portfolio management in enterprise transformation.
- Describe the responsibilities of AI Portfolio Managers and AI Governance Boards.
Enterprise AI Strategy
- Align AI investments with organizational vision, mission, and strategic objectives.
- Develop enterprise AI portfolio strategies that support digital transformation.
- Identify strategic AI opportunities across business functions.
- Evaluate AI initiatives based on business value and strategic alignment.
AI Portfolio Governance
- Design governance structures for enterprise AI portfolios.
- Establish AI Portfolio Governance Boards and Executive Steering Committees.
- Define governance policies, decision rights, and accountability structures.
- Integrate AI portfolio governance with enterprise governance and risk frameworks.
Responsible AI Portfolio Governance
- Apply Responsible AI principles across the AI portfolio.
- Establish enterprise policies for fairness, transparency, accountability, explainability, and human oversight.
- Govern AI systems throughout their lifecycle.
- Promote trustworthy AI across organizational initiatives.
AI Portfolio Optimization and Continuous Improvement
- Continuously assess portfolio performance.
- Rebalance AI investments based on changing business priorities.
- Retire or modernize underperforming AI initiatives.
- Drive continuous improvement using AI portfolio maturity assessments and lessons learned.
Overall Course Learning Outcomes
Aligned With the Frameworks You Already Trust
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Lead Enterprise AI Investment with Confidence
Reserve your seat in the next AI Portfolio Management cohort, or talk to our training team about a private, organization-specific delivery.
Common questions
Frequently Asked Questions
Is this course based on an official PMI standard?
- Yes. The curriculum is built around the PMI Standard for Artificial Intelligence in Portfolio, Program, and Project Management, alongside PMI’s Standard for Portfolio Management.
How does this course differ from AI Program Management?
- AI Program Management coordinates a set of interdependent AI projects toward shared outcomes. This course addresses the enterprise level above that — prioritizing and governing AI investment across all programs and projects organization-wide.
Is there a certificate at the end?
Yes. Participants who complete the course receive a Veloraa.ai Certificate of Completion, along with documentation to claim PDUs.
How does this course relate to ISO/IEC 42001 and the NIST AI RMF?
- Module 11 explicitly aligns AI portfolio governance with global AI standards including ISO/IEC 42001 and the NIST AI RMF, so graduates can steer investment decisions in step with enterprise AI governance.
What is your cancellation and rescheduling policy?
Participants can reschedule to a future cohort at no charge up to 5 business days before the start date. Contact our training team for details specific to your enrollment.
Recommended Services
01
AI Program Management
Lead AI portfolios, programs, and projects with confidence — based on the PMI Standard for Artificial Intelligence in Portfolio, Program, and Project Management.
02
ISO/IEC 42001 Lead Auditor
Gain the expertise to audit Artificial Intelligence Management Systems (AIMS) by applying widely recognized audit principles, procedures, and techniques.
03
ISO/IEC 42001 Lead Implementer
Gain the practical competencies to plan, implement, manage, monitor, and continually improve an Artificial Intelligence Management System (AIMS) aligned with ISO/IEC 42001.
04
AI Project Management
Lead AI portfolios, programs, and projects with confidence — based on the PMI Standard for Artificial Intelligence in Portfolio, Program, and Project Management.