AI+ Project Management Practitioner™

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The AI+ Project Management Practitioner™ certification equips project professionals with practical skills to integrate artificial intelligence into everyday project planning, execution, monitoring and decision-making.

The course focuses on AI-assisted project planning and estimation, intelligent scheduling, resource and budget optimisation, risk management, stakeholder engagement, project monitoring and automated reporting. Participants also explore data-driven decision-making, AI and machine learning fundamentals, responsible AI use and the transformative impact of AI on project management. Through hands-on labs, projects and case studies, learners gain practical experience using AI to improve efficiency, predictability and delivery outcomes.

Duration

Self-Paced: 40 hours of on-demand content.
Includes on-demand video lessons, an e-book, podcasts and interactive labs.
Modular quizzes are included to help learners track their progress.

Who Should Attend

Aspiring Project Managers: Build a strong foundation in project management while gaining exposure to AI-enabled workflows.
Early-Career Project Professionals: Project coordinators, analysts and junior project managers can enhance planning, tracking and reporting using AI tools.
Business and Technical Professionals: Learn how AI can support project timelines, resource management and risk awareness.
Team Leads and Supervisors: Improve project visibility and decision-making through AI-assisted insights.
Professionals Transitioning into AI-Supported Roles: Develop skills relevant to project environments increasingly adopting AI-driven tools and data-supported execution.

Prerequisites

Basic understanding of project management principles and processes.
Familiarity with project management tools and techniques.
General knowledge of artificial intelligence concepts, including machine learning and predictive analytics.
Experience in managing or overseeing projects, preferably in a technical or business context.
A willingness to learn and apply AI-based tools to enhance project management efficiency.

Course Content

Course Overview

Course Introduction

Module 1: Project Management Overview

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

Module 2: Introduction to AI and ML

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

Module 3: Data Driven Decision Making

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

Module 4: AI-Driven Project Risk Management

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

Module 5: Planning Project Work Breakdown and Structuring and Project Scheduling by AI

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

Module 6: Effective Project Budgeting Using AI

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

Module 7: AI for Planning Human Resources

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

Module 8: Stakeholder Management Using AI

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

Module 9: AI-based Project Monitoring

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

Module 10: Transformative Role of Project Management

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

Additional Module: AI Agents for Project Management Practitioner

Understanding AI Agents
How Does an AI Agent Work
Applications and Trends of AI Agents in Project Management
Core Characteristics of AI Agents
Significance of AI Agents in Project Management
Types of AI Agents
Case Study – AI Agents for Agile Project Delivery – Atlassian in Action
Hands-On Activity

Tools You’ll Explore

Python for Project Analytics
Machine Learning Libraries for Project Insights, including Scikit-learn and TensorFlow
Project Data Handling Tools, including Pandas and NumPy
Visualization Platforms for Project Dashboards, including Power BI and Tableau
Project Data Storage using SQL and NoSQL Databases
APIs for Project and Workflow Integration
Cloud Platforms for AI-Enabled Project Management, including AWS and Azure Services
OpenAI and LangChain for AI-Assisted Project Tools

Why This Certification Matters

AI-Ready Project Foundations: Develop an understanding of how AI can support project planning, tracking and reporting in modern project environments.
Lower Manual Project Overhead: Use AI-assisted coordination and automated project updates to reduce administrative effort.
Greater Delivery Predictability: Improve visibility into project timelines, resource usage and early risk indicators through AI-driven insights.
Enhanced Career Relevance: Develop skills aligned with project roles that increasingly value AI-supported workflows and data-aware execution.
Confident Leadership in AI-Supported Teams: Learn to guide teams using AI-enhanced dashboards, automation and real-time project intelligence.

Skills You’ll Gain

AI-Assisted Project Planning & Estimation
Intelligent Scheduling and Workload Balancing
Automated Project Tracking and Reporting
Predictive Delivery and Risk Signals
AI-Powered Decision Support for Projects
Workflow and Process Automation
Project Data Interpretation and Insights
Stakeholder Communication Enablement
Secure Handling of Project Information
Responsible Application of AI in Project Execution

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 to help teams anticipate delays and workload challenges.
Operations and Execution Analyst: Apply AI tools to improve task flow, resource visibility and operational efficiency.
Transformation Program Support Specialist: Assist digital transformation initiatives by integrating AI-enabled project workflows into existing delivery and governance structures.
Future-Ready Project Practitioner: Build expertise in AI-supported project environments as a foundation for advanced project or transformation roles.

Exam Details

Duration: 90 minutes
Passing Score: 70% (35/50)
Format: 50 multiple-choice/multiple-response questions
Delivery Method: Online via a proctored exam platform with flexible scheduling.

Exam Blueprint

Project Management Overview: 10%
Introduction to AI and ML: 10%
Data Driven Decision Making: 10%
AI-Driven Project Risk Management: 10%
Planning Project Work Breakdown and Structuring and Project Scheduling by AI: 10%
Effective Project Budgeting Using AI: 10%
AI for Planning Human Resources: 10%
Stakeholder Management Using AI: 10%
AI-Based Project Monitoring: 10%
Transformative Role of Project Management: 10%