AI+ Project Management PractitionerTM
Build stronger project foundations by combining AI-assisted planning with practical decision support.
Strengthen project foundations by pairing AI-assisted planning with practical decision support
- Intelligent Project Operations:
AI enhances planning, scheduling, task prioritization, and progress tracking to reduce manual effort. - Predictive Planning & Resource Optimization:
Data-driven timeline forecasting, workload balancing, capacity planning, and early risk detection. - Governance, Compliance & Risk Awareness:
AI supports documentation accuracy, change control, audit readiness, and ongoing risk monitoring. - Leadership Foundations for AI-Augmented Projects:
Lead teams using AI-enabled workflows, automated reporting, real-time insights, and stakeholder alignment.
Prerequisites
- Basic understanding of project management principles and processes.
- Familiarity with project management tools and techniques.
- General knowledge of artificial intelligence concepts (machine learning, predictive analytics, etc.).
- Experience in managing or overseeing projects, preferably in a technical or business context.
- Willingness to learn and apply AI-based tools to enhance project management efficiency.
The AI+ Project Management Practitioner™ self-paced course includes:
1. 40 hours of on-demand videos, an e-book, and podcasts.
2. Modular quizzes to help learners monitor their progress.
The course allows learners to study at their own pace. After completing the course, learners can take the certification exam online through a secure remote-proctored system.
Why This Certification Matters?
- AI-Ready Project Foundations: Understanding how AI supports planning, tracking, and reporting in modern project environments.
- Lower Manual Project Overhead: Reduced administrative effort through AI-assisted coordination and automated project updates.
- Greater Delivery Predictability: Visibility into timelines, resource usage, and early risk indicators using AI-driven insights.
- Enhanced Career Relevance: Alignment with project roles that increasingly value AI-supported workflows and data-aware execution.
- Confident Leadership in AI-Supported Teams: Guiding teams with AI-enhanced dashboards, automation, and real-time project intelligence.
What You'll Learn?
1.1 Introduction to Project Management
1.2 Project Management Lifecycle
1.3 Advanced Project Management Tasks
1.4 Project Management Frameworks
1.5 Project Manager’s Roles and Responsibilities
2.1 Introduction to Artificial Intelligence (AI)
2.2 Introduction to Machine Learning (ML)
2.3 Neural Networks
2.4 AI and ML Applications and Trends
2.5 Case Studies on AI and ML Projects
3.1 The Importance of Data in Artificial Intelligence
3.2 Data Analysis Techniques
3.4 Applying Data Insights to Project Decisions
3.5 Tools for Data Visualization and Reporting
3.6 Challenges and Best Practices
4.1 AI in Risk Management – An Introduction
4.2 AI for Risk Mitigation and Response
4.3 AI for Financial and Resource Risk Management
4.4 AI in Risk Management: The Future Scope
4.5 Case Study – AI-based Project Risk Management
5.1 Introduction to Work Breakdown Structure (WBS)
5.2 AI for WBS Creation
5.3 AI in Project Scheduling
5.4 AI for Resource-Constrained Scheduling
5.5 Case Studies: AI-based WBS and AI Algorithms for Project Scheduling
6.1 Introduction to AI in Budgeting
6.2 AI for Estimating Costs and Budget Allocation
6.3 AI for Budget Optimization
6.4 Future of AI in Project Budgeting
6.5 Case Study: AI Algorithms for Project Scheduling, AI-Based Model for Estimating Costs and Budget Allocation
7.1 Introduction to AI in Human Resource Planning
7.2 AI for Workforce Allocation
7.3 AI in Skill Matching and Employee Performance Analysis
7.4 The Future of AI in Human Resource Planning
7.5 Case Studies: Designing AI-Based Models for HR Planning
8.1 Introduction to Stakeholder Management and AI
8.2 Identifying and Categorizing Stakeholders Using AI
8.3 Stakeholder Conflicts Management with AI
8.4 Ethics and Future Prospects in AI-based Stakeholder Management
8.5 Case Studies: AI Tools for Stakeholder Management
9.1 Introduction to Project Monitoring and AI
9.2 AI-based Tools for Monitoring Project Progress
9.3 AI for Risk Monitoring
9.4 Case Studies: AI Tools for Project Monitoring
10.1 Current State of AI in Project Management
10.2 Ethical Considerations in AI-Based Project Management
10.3 Technical Challenges in AI Integration
Job Roles & Industry Outlook
AI-Augmented Delivery Professional
Work alongside project leaders using AI-powered dashboards and insights to support planning, coordination, and delivery tracking.
Project Intelligence Associate
Translate project data into meaningful signals using AI-assisted reporting, helping teams anticipate delays and workload challenges.
Operations and Execution Analyst
Apply AI tools to improve task flow, resource visibility, and operational rhythm across ongoing initiatives.
Transformation Program Support Specialist
Assist digital transformation efforts by integrating AI-enabled project workflows into existing delivery and governance structures.
Future-Ready Project Practitioner
Build early expertise in AI-supported project environments, creating a foundation for advanced project or transformation roles.
Skills You’ll Gain
Tools You’ll Master
Exam Details
Duration
Passing Score
Format
Delivery Method
Exam Blueprint
What’s Included
(One-Year Subscription + All Updates)
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone