AI+ Project Management Office Practitioner™ - eLearning (exam included)
448,00 EUR
- 60 hours
The AI+ Project Management Office Practitioner™ course equips project and PMO professionals with the skills to integrate artificial intelligence into project governance, planning, resource management, risk control, and reporting. Participants learn how to use AI-driven insights, predictive analytics, intelligent forecasting, and automation to improve project visibility, optimize resources, identify risks earlier, and support better portfolio decisions. Through practical case studies, hands-on labs, and real-world PMO scenarios, the course focuses on applying AI to modernize traditional PMO functions and create more agile, data-driven, and scalable project environments. It is designed for professionals looking to strengthen PMO performance while aligning AI initiatives with organizational strategy and business value.
What Is Included?
Language
Course and material in English
Level
Intermediate level (Category: AI+ Advanced Professional)
Access
1 year access to the platform 24/7
40 hours of video lessons & multimedia resources
60 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Tools You’ll Explore
ChatGPT, Microsoft Copilot, Power BI, Tableau, JIRA, Monte Carlo Simulation Tools, Python, Natural Language Processing (NLP) Tools, and more
Exam
Online Proctored Exam with One Free Retake included
Certificate
Certification of completion included
Master AI-Powered PMO Excellence with Intelligent Governance
Align AI initiatives with business goals to improve portfolio decisions, governance, and value.
What Skills Will You Gain?
At the end of this course, you will be able to:
Explore
Explore how AI, machine learning, and NLP can transform PMOs into smarter, data-driven governance functions.
Apply
Apply AI forecasting, scenario analysis, and dynamic scheduling to anticipate delays and optimize project timelines.
Optimize
Use AI to forecast demand, allocate resources based on skills, optimize capacity, and manage workloads effectively.
Identify
Identify potential risks earlier through predictive analytics, communication analysis, sentiment tracking, and intelligent alerts.
Create
Create automated reports, interactive dashboards, portfolio health insights, and executive-level information for faster decision-making.
What Will You Learn?
AI-Powered PMO – From Concept to Implementation
Lesson 1
- AI Fundamentals for PMOs
- Strategic Evolution of the PMO
- AI Ethics, Bias & Change Management
- Use Case: Building the Business Case for AI Investment
- Case Study: Developing an AI-Driven PMO Transformation Strategy
- Hands-on: Create an AI-Powered PMO Charter with ChatGPT
Predictive Planning & Intelligent Scheduling
Lesson 2
- Beyond Traditional Gantt Charts
- Generative Project Planning
- Dynamic Schedule Optimization
- Case Study: AI-Based Reforecasting for a Troubled Project
- Hands-on: Perform a Schedule Risk Simulation
AI-Driven Resource & Capacity Management
Lesson 3
- Moving from Spreadsheets to Intelligent Resource Management
- Predictive Capacity Forecasting
- Optimizing Cost, Capacity & Team Well-Being
- Use Case: AI-Based Multi-Project Resource Allocation
- Case Study: Developing a Unified Resource Plan After a Merger
- Hands-on: Build an Optimized Resource Allocation Plan
Proactive Risk Management & AI Insights
Lesson 4
- Predictive Risk Identification
- Automated Issue Escalation & Mitigation
- Measuring and Quantifying Risk Impact
- Use Case: Detecting Risks Through Project Communications
- Case Study: Preventing Project Crises with AI Early-Warning Systems
- Hands-on: Configure an AI Risk Early-Warning Dashboard
AI-Powered Project Control Tower
Lesson 5
- Conversational Reporting & NLP
- Automated Status Reporting & Data Synthesis
- Predictive Portfolio Health Scoring
- Case Study: Using Conversational Analytics for Strategic Decisions
- Hands-on: Perform a Conversational Portfolio Analysis
AI for Stakeholder Management & Communication
Lesson 6
- AI-Powered Sentiment Analysis
- Automated Stakeholder Engagement Reporting
- Generative AI for Communication
- Use Case: Managing Stakeholder Sentiment
- Case Study: Improving Community Alignment Through Sentiment Analysis
- Hands-on: Build a Stakeholder Sentiment Dashboard & Action Plan
AI PMO Implementation Roadmap
Lesson 7
- AI Tool Selection & Vendor Evaluation
- Developing a Phased Implementation Plan
- Measuring Success, Value & ROI
- Use Case: Planning Strategic AI Investments
- Case Study: Executing a 12-Month AI PMO Transformation
- Hands-on: Develop a 90-Day AI PMO Action Plan
Advanced AI Integration & PMO Customization
Lesson 8
- Customizing AI Tools for PMO Requirements
- Building AI-Driven PMO Dashboards
- Integrating AI with Legacy Systems
- Use Case: AI Integration for Large-Scale PMOs
- Case Study: Overcoming AI Integration Challenges
- Hands-on: Build Custom PMO Dashboards with AI Insights
AI-Enabled PMO Governance & Compliance
Lesson 9
- AI for Governance & Compliance
- Automating Compliance Reporting
- AI-Driven Auditing & Monitoring
- Use Case: AI-Enabled PMO Governance
- Case Study: Integrating AI into Compliance Processes
- Hands-on: Implement an AI-Driven Compliance System
AI for PMO Crisis Management
Lesson 10
- AI for Crisis Prevention
- Rapid Problem Identification with AI
- AI-Driven Crisis Management Planning
- Use Case: Managing Project Crises with AI
- Case Study: Preventing a Supply Chain Crisis with AI
- Hands-on: Develop an AI-Enabled Crisis Management Plan
Scaling AI Across the PMO
Lesson 11
- Scaling AI Across Multiple Projects
- Managing AI Across Large Portfolios
- Building an AI-Ready PMO Culture
- Use Case: Scaling AI Across a Multinational PMO
- Case Study: Enterprise-Wide AI Adoption
- Hands-on: Build a Comprehensive PMO Control Tower
The Future of AI in PMO
Lesson 12
- Generative AI for Strategic Project Management
- Autonomous PMO Operations
- Emerging Technologies & AI Integration
Who Should Enroll in this Program?
PMO Leaders & Managers
Project & Program Managers
Portfolio & Strategy Directors
Business Transformation & Change Leaders
AI & Analytics Professionals
More details
Prerequisites
- Project & PMO Knowledge: Understanding of project lifecycles, PMO governance, reporting, and controls.
- AI Awareness: Basic knowledge of AI and machine learning concepts and their project applications.
- Analytical Skills: Ability to work with project data, KPIs, and performance trends.
- Digital Proficiency: Familiarity with project management tools, dashboards, and enterprise systems.
- Leadership & Collaboration: Experience working with teams, stakeholders, and organizational change.
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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