Opleiding: AI+ Project Management Office Practitioner™

Master AI-Powered PMO Excellence with Intelligent Project Governance

• AI Strategy Alignment: Learn to align AI initiatives with enterprise goals, enabling smarter portfolio decisions, stronger governance, and measurable business value across projects and programs.
• Predictive Planning & Scheduling: Use machine learning, Monte Carlo simulations, and intelligent forecasting to anticipate delays, optimize timelines, and improve delivery confidence before risks arise.
• AI-Driven Resource Optimization: Leverage AI for skill matching, capacity forecasting, and workload balancing to maximize productivity, reduce costs, and prevent burnout across teams.
• Proactive Risk & Compliance Management: Implement NLP-based risk detection, automated alerts, and continuous auditing systems to identify threats early, ensure compliance, and strengthen governance.
• Intelligent Reporting & Decision Support: Build AI-powered dashboards, conversational analytics, and automated executive summaries that transform raw project data into real-time, actionable insights.

PMO Leaders & Managers: Ideal for PMO heads and managers who want to modernize governance with AI, enabling smarter portfolio oversight, predictive insights, and data-driven decision-making.

Project & Program Managers: For professionals managing multiple projects who aim to use AI for intelligent scheduling, risk forecasting, resource optimization, and improved delivery performance.

Portfolio & Strategy Directors: Designed for leaders responsible for enterprise strategy alignment who want to leverage AI to prioritize investments, forecast benefits, and enhance portfolio health.

Business Transformation & Change Leaders: Great for professionals driving digital or AI transformation initiatives and seeking structured frameworks to integrate AI tools seamlessly into PMO operations.

AI & Analytics Professionals in PMOs: Perfect for analysts and AI practitioners looking to apply machine learning, predictive analytics, and automation to real-world project governance and control environments.

• AI-Powered PMO LeadershipLead portfolios and projects using AI-driven insights aligned with business strategy.
• Smarter Planning & SchedulingApply predictive forecasting and simulations to improve timelines and delivery accuracy.
• Optimized ResourcesAllocate skills and capacity efficiently while reducing bottlenecks and burnout.
• Proactive Risk ControlDetect issues early with predictive analytics and automated alerts for faster decisions.
• Future-Ready Career GrowthTransform traditional PMOs into intelligent, agile, and scalable AI-enabled functions.

• 1.1 AI Fundamentals for the PMO
• 1.2 The Strategic Evolution of the PMO
• 1.3 Ethics, Bias, and Change Management
• 1.4 Use Case: Justifying an AI Tool Investment to Reduce Project Failure Rates
• 1.5 Case Study: GlobalTech – Building a Business Case for AI PMO Transformation
• 1.6 Hands-on: Draft an AI-Powered PMO Charter Using ChatGPT

• 2.1 Moving Beyond the Gantt Chart
• 2.2 Generative Project Design
• 2.3 Dynamic Schedule Optimization
• 2.4 Case Study: FinServ Launchpad – Re-forecasting a Troubled Project with AI
• 2.5 Hands-on: Run a Schedule Risk Simulation

• 3.1 From Spreadsheets to Intelligence
• 3.2 Predictive Capacity Forecasting
• 3.3 Optimizing for Cost and Well-being
• 3.4 Use Case: Optimizing Resource Allocation Across Multiple Projects Without Burnout
• 3.5 Case Study: HealthPlus System Integration – Creating a Unified Resource Plan After a Merger
• 3.6 Hands-on: Create an Optimized Resource Allocation Plan

• 4.1 Predictive Risk Identification
• 4.2 Automated Issue Escalation & Mitigation
• 4.3 Quantifying Risk Impact
• 4.4 Use Case: Identifying Risks from Project Communications
• 4.5 Case Study: E-Commerce Platform Scale-Up – Averting a Crisis with an AI Early-Warning System
• 4.6 Hands-on: Configure a Risk Early-Warning Dashboard

• 5.1 Conversational Reporting & NLP
• 5.2 Automated Status Reporting & Synthesis
• 5.3 Predictive Portfolio Health Scoring
• 5.4 Case Study: National Energy Corp – Using Conversational Analytics to Drive Strategy
• 5.5 Hands-on: Conduct a Conversational Portfolio Analysis

• 6.1 AI-Powered Sentiment Analysis
• 6.2 Automated Stakeholder Engagement Reporting
• 6.3 Generative AI for Communication Drafting
• 6.4 Use Case: Managing Stakeholder Sentiment on High-Visibility Projects
• 6.5 Case Study: Metro Rail Expansion Project – Using Sentiment Analysis to Improve Community Alignment
• 6.6 Hands-on: Build a Stakeholder Sentiment Dashboard with Action Plan

• 7.1 Tool Selection & Vendor Evaluation
• 7.2 Building a Phased Implementation Plan
• 7.3 Measuring Success and ROI
• 7.4 Use Case: Developing a Phased Plan for Strategic AI Investment
• 7.5 Case Study: Quantum Leap Solutions – A 12-Month Transformation
• 7.6 Hands-on: Develop Your 90-Day AI PMO Action Plan

• 8.1 Customizing AI Tools for PMO Needs
• 8.2 Creating AI-Driven PMO Dashboards
• 8.3 Integrating AI with Legacy Systems
• 8.4 Use Case: Advanced AI Integration for Large-Scale PMOs
• 8.5 Case Study: TechGlobal – AI Integration Challenges
• 8.6 Hands-on: Build Custom PMO Dashboards with AI Insights

• 9.1 AI in Governance and Compliance
• 9.2 Automating Compliance Reporting with AI
• 9.3 AI-Driven Auditing and Monitoring
• 9.4 Use Case: Managing PMO Governance with AI
• 9.5 Case Study: ABC Bank – AI Compliance Integration
• 9.6 Hands-on: Implement an AI-Driven Compliance System

• 10.1 AI and Crisis Prevention
• 10.2 Using AI for Rapid Problem Identification
• 10.3 AI-Driven Crisis Management Plans
• 10.4 Use Case: AI Handling Project Crises in Real Time
• 10.5 Case Study: StyleHaven Retail – AI-Averted Supply Chain Crisis
• 10.6 Hands-on: Develop a Crisis Management AI Plan

• 11.1 Scaling AI Solutions Across Multiple Projects
• 11.2 Managing AI for Large Portfolios
• 11.3 Building an AI PMO Culture
• 11.4 Use Case: Scaling AI Tools in a Multi-National PMO
• 11.5 Case Study: Global PMO AI Scaling Initiative – Enterprise-Wide AI Adoption
• 11.6 Hands-on: Build a Comprehensive PMO Control Tower Application

• 12.1 Generative AI for Strategic Project Management
• 12.2 Autonomous PMO Operations
• 12.3 Emerging Technologies and Integration

• ChatGPT
• Microsoft Copilot
• Power BI
• Tableau
• JIRA
• Monte Carlo Simulation Tools
• Python
• Natural Language Processing (NLP) Tools
• Al Risk Early Warning Dashboard
• MeDo Zero-Code Control Tower Platform
• RPA Tools
• Al Compliance Monitoring Systems
• Digital Twin Simulation Platforms
• Blockchain Smart Contract Platforms

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

De OCICT maatwerk-methode houdt in dat op basis van de behoefte van de klant - en indien nodig na een intakegesprek - een individueel opleidingstraject wordt opgesteld. De trainingen worden veelal individueel gevolgd, zodat iedere training een maatwerktraject is. Klassikale trainingen zijn natuurlijk mogelijk, mits ze aansluiten bij de leerbehoeften van de deelnemers / opdrachtgever.

Alle onderdelen van de training kennen een voortdurende wisselwerking tussen theorie en praktijk. De inhoud van de training kan vooraf per cursist worden aangepast en tijdens de cursus worden bijgesteld. De focus ligt op maatwerk: het traject wordt afgestemd op de doelstellingen van de deelnemer(s) en/of opdrachtgever, ongeacht of het individueel of klassikaal wordt aangeboden.