AI+ Project Management Office Practitioner

EDU Trainings s.r.o.

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Obsah kurzu

Module 1: The AI-Powered Project Management Office – From Concept to Reality

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

Module 2: Predictive Planning & Intelligent Scheduling

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

Module 3: AI-Driven Resource & Capacity Management

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

Module 4: Proactive Risk Management & AI Insights

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

Module 5: The AI-Powered Project Control Tower

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

Module 6: AI for Stakeholder Management and Communication

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

Module 7: Implementation of AI PMO Roadmap

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

Module 8: Advanced AI Integration and Customization in PMOs

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

Module 9: AI-Enabled PMO Governance and Compliance

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

Module 10: AI for Crisis Management in PMOs

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

Module 11: Scaling AI in the PMO

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

Module 12: The Future of AI in PMO – Next-Generation Capabilities

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

Cieľová skupina

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.

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