Corporate Training
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.
A 12-module instructor-led course covering AI strategy, governance, risk, data and model lifecycle management, Responsible AI, and value realization — built for project, program, and portfolio professionals leading AI-driven change.
12
Modules
48
Learning Objectives
12
Course Outcomes
24
PDUs Available
Project Management Built for the Age of AI
AI is transforming how organizations plan, deliver, and govern projects. This course, based on the PMI Standard for Artificial Intelligence in Portfolio, Program, and Project Management, equips project professionals with the frameworks, vocabulary, and practical tools to lead AI initiatives responsibly — from business case through value realization.
Strategic Alignment
Connect AI initiatives to organizational strategy and measurable value.
AI-Specific Risk
Manage risks unique to AI — bias, drift, explainability, and privacy.
Responsible AI
Lead with fairness, transparency, and human oversight built in.
Real Business Value
Measure benefits realization and continuously improve delivery.
Who Should Attend
Built for Auditors, Advisors, and AI Practitioners
- Auditors — internal or external — specializing in AI management system audits
- Managers or consultants aiming to master the AIMS audit process
- Professionals analyzing business requirements for AI implementation
- Individuals developing, implementing, or architecting AI systems
- Individuals responsible for maintaining AIMS conformity within an organization
- Expert advisors in AI management
Common questions
Learning Objectives by Module
Foundations of AI Project Management
- Explain the fundamentals of Artificial Intelligence and its impact on portfolio, program, and project management.
- Differentiate between traditional software projects and AI-driven projects.
- Describe the AI project lifecycle and its unique characteristics.
- Understand the role of AI within organizational strategy and digital transformation initiatives.
AI Strategy and Business Alignment
- Align AI initiatives with organizational vision, strategy, and business objectives.
- Identify high-value AI use cases using structured assessment techniques.
- Develop AI business cases and value propositions.
- Prioritize AI initiatives within organizational portfolios.
AI Portfolio, Program and Project Governance
- Explain governance structures required for AI initiatives.
- Establish roles, responsibilities, and decision-making frameworks for AI projects.
- Apply governance practices to ensure accountability, transparency, and oversight.
- Integrate AI governance with enterprise governance models.
AI Compliance, Regulations, and Assurance
- Understand emerging AI regulations and governance frameworks.
- Apply compliance requirements throughout the AI lifecycle.
- Align AI projects with international standards such as ISO/IEC 42001, NIST AI RMF, and applicable AI regulations.
- Prepare AI projects for audits and regulatory assessments.
AI Leadership for Project Professionals
- Lead cross-functional AI teams effectively.
- Facilitate collaboration between business, technical, legal, and governance stakeholders.
- Make informed AI project decisions using data and governance principles.
- Foster a culture of innovation, responsible AI, and continuous learning.
Overall Course Learning Outcomes
Aligned With the Frameworks You Already Trust
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.
Who typically takes this course?
- Executives, PMO leaders, and portfolio managers who set AI investment strategy and sit on AI governance boards — often after building foundational experience through our AI Program or AI Project Management courses.
Can this course be delivered privately for our organization?
Yes. We offer private cohorts tailored to your organization’s AI investment governance model, tools, and existing portfolio structure.
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.
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Ready to Train Your Team?
Tell us about your organization’s AI governance and AI delivery goals, and we’ll put together a corporate training proposal.
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 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.