Course Overview
TOPIn today's fast-paced digital landscape, organizations rely on data-driven insights to manage complex project portfolios and ensure strategic alignment. AI is transforming how Project Management Offices operate by enabling predictive forecasting, intelligent reporting, and proactive risk management.
The AI+ Project Management Office Practitioner™ course focuses on applying these AI capabilities to strengthen PMO governance and portfolio oversight. Participants explore how automation and analytics improve project visibility, resource planning, and performance monitoring. The course equips PMO professionals with the knowledge to build smarter, AI-enabled project management frameworks that drive better business outcomes.
Scheduled Classes
TOP| 07/27/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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| 08/31/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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| 09/28/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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| 11/02/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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| 11/30/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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What You'll Learn
TOP- Understand how AI supports modern PMO governance and portfolio management
- Apply predictive analytics to monitor project health, risks, and performance metrics
- Use AI-driven tools for portfolio prioritization, reporting, and decision support
- Improve resource allocation and operational efficiency through automation
- Integrate AI insights into PMO dashboards and enterprise project oversight
Outline
TOPThe AI-Powered Project Management Office – From Concept to Reality
- AI Fundamentals for the PMO
- The Strategic Evolution of the PMO
- Ethics, Bias, and Change Management
- Use Case: Justifying an AI Tool Investment to Reduce Project Failure Rates
- Case Study: GlobalTech – Building a Business Case for AI PMO Transformation
- Hands-on: Draft an AI-Powered PMO Charter Using ChatGPT
Predictive Planning & Intelligent Scheduling
- Moving Beyond the Gantt Chart
- Generative Project Design
- Dynamic Schedule Optimization
- Case Study: FinServ Launchpad – Re-forecasting a Troubled Project with AI
- Hands-on: Run a Schedule Risk Simulation
AI-Driven Resource & Capacity Management
- From Spreadsheets to Intelligence
- Predictive Capacity Forecasting
- Optimizing for Cost and Well-being
- Use Case: Optimizing Resource Allocation Across Multiple Projects Without Burnout
- Case Study: HealthPlus System Integration – Creating a Unified Resource Plan After a Merger
- Hands-on: Create an Optimized Resource Allocation Plan
Proactive Risk Management & AI Insights
- Predictive Risk Identification
- Automated Issue Escalation & Mitigation
- Quantifying Risk Impact
- Use Case: Identifying Risks from Project Communications
- Case Study: E-Commerce Platform Scale-Up – Averting a Crisis with an AI Early-Warning System
- Hands-on: Configure a Risk Early-Warning Dashboard
The AI-Powered Project Control Tower
- Conversational Reporting & NLP
- Automated Status Reporting & Synthesis
- Predictive Portfolio Health Scoring
- Case Study: National Energy Corp – Using Conversational Analytics to Drive Strategy
- Hands-on: Conduct a Conversational Portfolio Analysis
Prerequisites
TOPRequired
- Clear understanding of the project lifecycle and PMO governance, reporting, and control structures
- Basic familiarity with AI and machine learning concepts and how they apply to project environments
- Ability to interpret project performance data, KPIs, and trends for informed decision-making
- Comfort working with digital project management tools, dashboards, and enterprise systems
- Experience coordinating across teams, managing stakeholders, and supporting change initiatives
