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AI+ Project Management Practitioner™

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  • Build stronger project foundations with AI+ Project Management Practitioner ™ by combining AI-assisted planning with practical decision support.
  • Assess your skills before enrolling
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$82.00

Intermediate
AI+ Project Management Practitioner.
24h
1 Year.
$82.00
Training 5 or more people?
Get a Quote

Intelligent planning and stronger foundation.

  • 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.
  • AI-Ready Project Foundations: An understanding of 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: Improved 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: The ability to guide teams using AI-enhanced dashboards, automation, and real-time project intelligence.

Course Curriculum

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

Learning Objectives

  • Empower Your Project Management Skills: Learn how to integrate AI into traditional project management to enhance decision-making, efficiency, and execution across all phases of the project lifecycle.
  • Master AI-Driven Tools and Techniques: Develop expertise in leveraging AI technologies for cost estimation, risk assessment, quality assurance, and resource allocation to drive successful project outcomes.
  • Enhance Scheduling and Budgeting Capabilities: Gain proficiency in using AI for dynamic scheduling, budget optimization, and predictive analytics to streamline project planning and delivery.
  • Understand Ethical and Future Trends: Explore ethical considerations, challenges, and emerging trends in AI-powered project management, ensuring responsible and forward-thinking practices.
  • Apply Knowledge Through Real-World Case Studies: Strengthen your learning by analyzing practical case studies that demonstrate AI integration in diverse project management scenarios.

Resource Center

  • Videos, Use cases, Workshops, E-books and tools.

Target Audience

  • Aspiring Project Managers.
  • Early-Career Project Professionals.
  • Business and Technical Professionals.
  • Team Leads and Supervisors.
  • Professionals Transitioning into AI-Supported Roles.

Job Roles & Industry Outlook 

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

Exam Information

Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
Fees include
One year of access to course content, including continuous updates. Certification exam. One exam re-take.

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%

Explore our Schedules

Oct 18 - Oct 20
GMT 09:00 AM - 05:00 PM
In-person
Medina
724.5$
3 Days
Enroll Now
Oct 4 - Oct 6
GMT 09:00 AM - 05:00 PM
In-person
Muscat
724.5$
3 Days
Enroll Now

Certificate of Completion

AI+ Project Management Practitioner.

$82.00

Intermediate
AI+ Project Management Practitioner.
24h
1 Year.
$82.00
Training 5 or more people?
Get a Quote

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