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    • AI+ Project Management Practitioner™

    • Intelligent Project Operations: Discover how AI enhances planning, scheduling, task prioritization, and progress tracking to reduce manual effort and improve project consistency.
    • Predictive Planning & Resource Optimization: Use data-driven insights for timeline forecasting, workload balancing, capacity planning, and early risk detection to keep projects on track.
    • Governance, Compliance & Risk Awareness: Understand how AI supports documentation accuracy, change control, audit readiness, and ongoing risk monitoring in project environments.
    • Leadership Foundations for AI-Augmented Projects: Build skills to lead teams using AI-enabled workflows, including automated reporting, real-time insights, and improved stakeholder alignment.
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    AI+ Project Management Practitioner™
    Price: USD $495.00

    At a Glance: Course + Exam Overview

    Category AI Business
    AI Professional
    AI Technical
    All Courses
    English
    Language
    Project Management Practitioner
    Program Name AI+ Project Management Practitioner™
    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.
    Exam Format 50 questions, 70% passing, 90 minutes

    What You'll Learn

    • AI in Project Planning
      Learn how AI improves scheduling, estimation accuracy, and task prioritization across projects.
    • Automated Project Tracking
      Understand AI-driven tools for real-time status updates, progress monitoring, and reporting.
    • Predictive Risk Awareness
      Identify potential project delays and risks early using AI-generated insights and patterns.
    • Resource and Workflow Optimization
      Apply AI to balance workloads, optimize resources, and streamline everyday project operations.
    • Responsible AI Usage in Projects
      Develop awareness of ethical AI practices, data governance, and compliance in project environments.

    Certification Modules

    Module 1: Project Management Overview

    1. 1.1 Introduction to Project Management
    2. 1.2 Project Management Lifecycle
    3. 1.3 Advanced Project Management Tasks
    4. 1.4 Project Management Frameworks
    5. 1.5 Project Manager’s Roles and Responsibilities

    Module 2: Introduction to AI and ML

    1. 2.1 Introduction to Artificial Intelligence (AI)
    2. 2.2 Introduction to Machine Learning (ML)
    3. 2.3 Neural Networks
    4. 2.4 AI and ML Applications and Trends
    5. 2.5 Case Studies on AI and ML Projects

    Module 3: Data Driven Decision Making

    1. 3.1 The Importance of Data in Artificial Intelligence
    2. 3.2 Data Analysis Techniques
    3. 3.4 Applying Data Insights to Project Decisions
    4. 3.5 Tools for Data Visualization and Reporting
    5. 3.6 Challenges and Best Practices

    Module 4: AI-Driven Project Risk Management

    1. 4.1 AI in Risk Management – An Introduction
    2. 4.2 AI for Risk Mitigation and Response
    3. 4.3 AI for Financial and Resource Risk Management
    4. 4.4 AI in Risk Management: The Future Scope
    5. 4.5 Case Study – AI-based Project Risk Management

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

    1. 5.1 Introduction to Work Breakdown Structure (WBS)
    2. 5.2 AI for WBS Creation
    3. 5.3 AI in Project Scheduling
    4. 5.4 AI for Resource-Constrained Scheduling
    5. 5.5 Case Studies: AI-based WBS and AI Algorithms for Project Scheduling

    Module 6: Effective Project Budgeting Using AI

    1. 6.1 Introduction to AI in Budgeting
    2. 6.2 AI for Estimating Costs and Budget Allocation
    3. 6.3 AI for Budget Optimization
    4. 6.4 Future of AI in Project Budgeting
    5. 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

    1. 7.1 Introduction to AI in Human Resource Planning
    2. 7.2 AI for Workforce Allocation
    3. 7.3 AI in Skill Matching and Employee Performance Analysis
    4. 7.4 The Future of AI in Human Resource Planning
    5. 7.5 Case Studies: Designing AI-Based Models for HR Planning

    Module 8: Stakeholder Management Using AI

    1. 8.1 Introduction to Stakeholder Management and AI
    2. 8.2 Identifying and Categorizing Stakeholders Using AI
    3. 8.3 Stakeholder Conflicts Management with AI
    4. 8.4 Ethics and Future Prospects in AI-based Stakeholder Management
    5. 8.5 Case Studies: AI Tools for Stakeholder Management

    Module 9: AI-based Project Monitoring

    1. 9.1 Introduction to Project Monitoring and AI
    2. 9.2 AI-based Tools for Monitoring Project Progress
    3. 9.3 AI for Risk Monitoring
    4. 9.4 Case Studies: AI Tools for Project Monitoring

    Module 10: Transformative Role of Project Management

    1. 10.1 Current State of AI in Project Management
    2. 10.2 Ethical Considerations in AI-Based Project Management
    3. 10.3 Technical Challenges in AI Integration

    Additional Module: AI Agents for Project Management Practitioner

    1. 1. Understanding AI Agents
    2. 2. How Does an AI Agent Work
    3. 3. Applications and Trends of AI Agents in Project Management
    4. 4. Core Characteristics of AI Agents
    5. 5. Significance of AI Agents in Project Management
    6. 6. Types of AI Agents
    7. 7. Case Study-AI Agents for Agile Project Delivery – Atlassian in Action
    8. 8. Hands-On Activity

    Finish the course and get certified

    Certificate 1

    Industry Opportunities

    • AI-Augmented Delivery Professional
      AI-Augmented Delivery Professional
      Work alongside project leaders using AI-powered dashboards and insights to support planning, coordination, and delivery tracking.
    • Project Intelligence Associate
      Project Intelligence Associate
      Translate project data into meaningful signals using AI-assisted reporting, helping teams anticipate delays and workload challenges.
    • Operations and Execution Analyst
      Operations and Execution Analyst
      Apply AI tools to improve task flow, resource visibility, and operational rhythm across ongoing initiatives.
    • Transformation Program Support Specialist
      Transformation Program Support Specialist
      Assist digital transformation efforts by integrating AI-enabled project workflows into existing delivery and governance structures.
    • Future-Ready Project Practitioner
      Future-Ready Project Practitioner
      Build early expertise in AI-supported project environments, creating a strong foundation for advanced project or transformation roles.

    Frequently Asked Questions

    Yes, the certification includes hands-on project scenarios using realistic project data. You’ll be able to apply AI-supported planning, tracking, and reporting techniques directly in active project environments.

    This course uniquely focuses on applying AI to everyday project workflows—planning, scheduling, monitoring, and risk awareness—rather than abstract theory, making it practical for real project execution.

    You’ll work on AI-assisted project planning models, automated status reporting workflows, risk identification scenarios, and intelligent project support tools based on real delivery challenges.

    The course combines guided modules, interactive examples, and applied project exercises that reinforce learning through hands-on practice and real-world project use cases.

    It builds practical experience with AI-enabled project tools, data-informed decision-making, and automation—skills increasingly expected in modern project coordination and management roles.

    Prerequisites

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    Exam Details

    Duration

    90 minutes

    Passing Score

    70%

    Format

    50 multiple-choice/multiple-response questions

    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%
    Course Price: USD $495.00
    Self-Paced Online
    Purchase Self-Paced Course
    Instructor-Led (Live Virtual/Classroom)

    Core AI Tools Covered

    Python for Project Analytics

    Python for Project Analytics

    Machine Learning Libraries for Project Insights (Scikit-learn, TensorFlow)

    Machine Learning Libraries for Project Insights (Scikit-learn, TensorFlow)

    Project Data Handling Tools (Pandas, NumPy)

    Project Data Handling Tools (Pandas, NumPy)

    Visualization Platforms for Project Dashboards (Power BI, Tableau)

    Visualization Platforms for Project Dashboards (Power BI, Tableau)

    Project Data Storage using SQL & NoSQL Databases

    Project Data Storage using SQL & NoSQL Databases

    APIs for Project and Workflow Integration

    APIs for Project and Workflow Integration

    Cloud Platforms for AI-Enabled Project Management (AWS & Azure Services)

    Cloud Platforms for AI-Enabled Project Management (AWS & Azure Services)

    OpenAI & LangChain for AI-Assisted Project Tools

    OpenAI & LangChain for AI-Assisted Project Tools