AI Program Management

Plan, govern, integrate, and deliver enterprise AI programs — based on the PMI Standard for Artificial Intelligence in Portfolio, Program, and Project Management.

A 12-module instructor-led course for leaders coordinating multiple AI initiatives at once — covering program governance, benefits realization, enterprise risk, Responsible AI, and transformation leadership at scale.

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12

Modules

48

Learning Objectives

12

Course Outcomes

24

PDUs Available

COURSE OVERVIEW

Enterprise AI Leadership Built for Scale

By the end of this course, participants will be able to plan, govern, integrate, and deliver enterprise AI programs that create measurable business value while ensuring responsible AI, effective governance, regulatory compliance, and organizational transformation. Based on the PMI Standard for Artificial Intelligence in Portfolio, Program, and Project Management, this course is built for leaders coordinating multiple, interdependent AI initiatives across the enterprise.

Enterprise Governance

Design governance structures that scale across dozens of AI initiatives at once.

Benefits Realization

Track strategic, operational, and financial value across a whole AI program.

Program-Wide Risk

Manage risk, bias, and drift consistently across interdependent AI projects.

Transformation Leadership

Lead enterprise-wide change and build lasting AI capability.

WHO SHOULD ATTEND

Built for Enterprise AI Program Leaders

Program Managers
Portfolio Managers
PMO Leaders
Enterprise Architects
AI Transformation Leads
Business Unit Leaders
IT & Technology Executives
Risk & Compliance Leaders
Executive Sponsors
Twelve modules, each with concrete, practical learning objectives.

Common questions

Learning Objectives by Module

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Foundations of AI Program Management
  • Explain the principles and practices of AI Program Management.
  • Differentiate between AI projects, AI programs, and AI portfolios.
  • Describe the characteristics of enterprise AI transformation programs.
  • Understand the role of AI Program Managers in delivering strategic organizational outcomes.
  • Align AI programs with organizational strategy and digital transformation objectives.
  • Translate business strategy into AI program roadmaps.
  • Identify strategic AI capabilities required across multiple business units.
  • Prioritize AI initiatives based on organizational value and strategic importance.
  • Design governance structures for enterprise AI programs.
  • Define program governance roles, responsibilities, and decision rights.
  • Establish governance boards, steering committees, and AI oversight mechanisms.
  • Integrate AI governance with enterprise governance frameworks.
  • Monitor AI program performance and organizational outcomes.
  • Measure AI capability maturity.
  • Conduct program reviews and governance assessments.
  • Drive continuous improvement across AI initiatives.
  • Lead enterprise AI transformation initiatives.
  • Foster collaboration across business, technology, legal, risk, and governance teams.
  • Develop AI leadership capabilities.
  • Build a culture of innovation, continuous learning, and responsible AI adoption.
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BY THE END OF THIS COURSE

Overall Course Learning Outcomes

Understand the principles and practices of AI Portfolio Management.
Align enterprise AI portfolios with organizational strategy and business objectives.
Govern AI investments using structured portfolio governance frameworks.
Evaluate, prioritize, and optimize AI initiatives to maximize strategic value.
Balance innovation, risk, compliance, and resource allocation across AI portfolios.
Measure and realize business benefits from enterprise AI investments.
Establish Responsible AI governance that promotes fairness, transparency, accountability, privacy, security, and human oversight.
Identify, assess, and manage enterprise AI risks using a portfolio-wide approach.
Monitor AI portfolio performance through executive dashboards, KPIs, and maturity assessments.
Lead enterprise AI transformation by engaging executives, stakeholders, and cross-functional teams.
Ensure AI portfolio compliance with international AI governance frameworks, including the PMI Standard for AI in PPM, The Standard for Portfolio Management (PMI), ISO/IEC 42001, NIST AI RMF, and the EU AI Act.
Build and sustain an adaptive, resilient, and high-performing AI portfolio that delivers measurable business value, supports responsible AI adoption, and enables long-term organizational competitiveness.
GROUNDED IN GLOBAL STANDARDS

Aligned With the Frameworks You Already Trust

ISO/IEC 42001 → NIST AI RMF → EU AI Act → AI Project Management Course → AI Consulting Services →
ISO/IEC 42001
NIST AI RMF
EU AI Act
AI Project Management Course
AI Consulting Services

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Lead Enterprise AI Programs with Confidence

Reserve your seat in the next AI Program Management cohort, or talk to our training team about a private, organization-specific delivery.

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Common questions

Frequently Asked Questions

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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.
  • 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.
  • It’s not required, but participants with prior project-level AI delivery experience — from our AI Project Management course or equivalent experience — often get the most from this program-level curriculum.
  • Define enterprise AI value drivers.
  • Develop AI portfolio benefits realization strategies.
  • Measure strategic, financial, operational, and customer value.
  • Monitor portfolio performance using executive dashboards and KPIs.

Yes. We offer private cohorts tailored to your organization’s AI investment governance model, tools, and existing portfolio structure.

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Recommended Services

01

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.

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.