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AI Careers & Workforce Development

AI+ Project Manager™

  • Real-Time Integration: Learn to apply AI in project planning, decision-making, and execution
  • Advanced Curriculum: Covers AI algorithms, ML, and resource allocation tools
  • Multi-Disciplinary Focus: Tailored for complex, cross-functional project scenarios
  • Leadership Readiness: Empowers professionals to lead AI-driven project success

All prices are in NZD, ex GST (15%).

At a Glance: Course + Exam Overview

Category AI Careers & Workforce Development Program Name: AI+ Project Manager™
Exam Format 50 questions, 70% passing, 90 Minutes Duration:
  • Instructor-Led: 1 Day
  • Self-Paced: 8 hours of content

🤝 You’re never on your own — Parasol Concierge Support provides integration guidance and expert VA assistance so you can focus on mastering skills while we handle the setup details.

WHAT You'll Learn

AI Integration in Project Management

Students will learn to integrate AI into project management. This includes learning how AI tools may improve project planning, scheduling, and resource allocation, boosting efficiency and delivery.

Data-Driven Decision Making

Students will learn to collect, analyze, and understand project data using AI to make educated decisions and optimize project outcomes.

Improved Team Collaboration and Productivity

Learners will master AI for team collaboration and productivity. This includes AI-driven collaboration tools which improve project team communication, work assignment, and knowledge sharing, boosting efficiency.

Communication and Stakeholder Management

Participants will improve communication and stakeholder management skills through AI-driven project management and gain stakeholder buy-in and collaboration.

CERTIFICATION Modules

  1. Course Introduction Preview

  1. 1.1 AI Fundamentals Preview
  2. 1.2 AI in Project ManagementPreview
  3. 1.3 Key AI Technologies
  4. 1.4 Benefits and Challenges
  5. 1.5 Future Perspectives

  1. 2.1 Overview of AI Tools Preview
  2. 2.2 Artificial Intelligence Tools in Action: Enhancing Project Management Efficiency Preview
  3. 2.3 Selecting AI Tools Preview
  4. 2.4 Implementing AI Tools
  5. 2.5 Case Studies

  1. 3.1 Importance of Data in Artificial Intelligence Preview
  2. 3.2 Data Analysis Techniques Preview
  3. 3.3 Applying Data Insights to Project Decisions
  4. 3.4 Tools for Data Visualization and Reporting
  5. 3.5 Challenges and Best Practices

  1. 4.1 AI-Enhanced Collaboration Tools
  2. 4.2 Boosting Productivity with AI
  3. 4.3 Managing Project Knowledge with AI
  4. 4.4 Overcoming Collaboration Challenges

  1. 5.1 Understanding AI Ethics
  2. 5.2 Identifying and Mitigating Bias
  3. 5.3 Developing AI Governance
  4. 5.4 Case Studies

  1. 6.1 Strategies for AI Integration
  2. 6.2 Choosing the Right AI Tools
  3. 6.3 Project Data Preparation for AI
  4. 6.4 AI Implementation Plan
  5. 6.5 Monitoring AI Integration
  6. 6.6 Evaluating AI Outcomes
  7. 6.7 Risk Management in AI Projects
  8. 6.8 Workshop: AI Tool Deployment

  1. 7.1 Emerging Trends in AI and Project Management
  2. 7.2 AI and the Evolving Role of the Project Manager
  3. 7.3 Sustainability and AI in Projects
  4. 7.4 Adapting to Future AI Development
  5. 7.5 Predictive Analysis and Future Planning

  1. 1. Understanding AI Agents
  2. 2. Case Studies
  3. 3. Hands-On Practice with AI Agents

Industry opportunities

AI Project Manager

    Lead and oversee AI-driven projects, ensuring effective integration of intelligent systems to solve real-time development challenges while managing timelines, budgets, and team collaboration.

AI Solutions Architect

    Design and implement AI models and architectures to address complex business problems, bridging the gap between technical teams and organizational goals.

AI Integration Specialist

    Facilitate the seamless incorporation of AI technologies into diverse business operations, ensuring alignment with organizational objectives and technical feasibility.

Data-Driven Project Manager

    Utilize AI and data analytics to enhance decision-making in project management, optimizing resource allocation, risk assessment, and performance tracking.

FREQUENTLY ASKED QUESTIONS

You will learn to understand and apply AI concepts, integrate AI with real-time development problems, investigate AI ideas, design and implement AI applications, and effectively manage projects incorporating AI technologies.

This course is intended for Project Managers and IT professionals seeking to enhance their skills in AI integration and application within project management and various multi-disciplined environments.

Participants will acquire proficiency in understanding and applying AI concepts within project management contexts. They'll learn to optimize project workflows, implement AI tools effectively, and make data-driven decisions while adhering to ethical considerations and mitigating biases.

The course is structured to provide a thorough investigation of AI ideas and model implementations, starting from basic concepts and progressing to advanced applications, culminating in an interactive project management process.

The course equips participants with insights into emerging AI trends, predictive analytics, and sustainable practices in project management. They'll learn to anticipate future AI developments and integrate these advancements into their strategic planning processes.

PREREQUISITES

  • A foundational understanding of key concepts of basic mathematics and artificial intelligence. 
  • Basic understanding of Computer Science concepts like programming, data structures and algorithms. 
  • Fundamental knowledge of keywords of AI/ML. 
  • Willingness to engage in hands-on activities and workshops to apply AI concepts in project management scenarios.

EXAM DETAILS

Duration

90 Minutes

Passing Score

70%

Format

50 multiple-choice/multiple-response questions

EXAM BLUEPRINT

Introduction to Artificial Intelligence (AI) in Project Management 10%
AI Tools for Project Management 15%
Data-Driven Decision Making 10%
AI for Enhancing Team Collaboration and Productivity 15%
Ethical Considerations and Bias in AI 15%
Implementing AI in Projects 25%
Future of AI in Project Management 10%

Instructor-Led (Live Virtual/Classroom)

  • 1 day of intensive training with live demos
  • Real-time Q&A and peer collaboration
  • Led by AI Certified Trainers and delivered through Authorized Training Partners

Instructor-Led Course

🚀 Learn directly from certified AI trainers in live, interactive sessions. Get real-time guidance, practical exercises, and the accountability of a structured classroom experience. Perfect for professionals who want expert support and a clear path to certification.

✨ At Parasol Virtual, we go beyond certification. Our team supports your learning journey with guidance, resources, and local assistance to ensure your success. You’re not learning alone — you’re part of a global community with local support.

Request Virtual Training

Self-Paced Online

  • ~6 hours of on-demand video lessons, e-book, and podcasts
  • Learn anywhere, anytime, with modular quizzes to track progress

Self-Paced Course

🌐 Study anytime, anywhere with 24/7 access to course materials, practice tests, and resources. Move at your own speed while still working towards globally recognized certification. Designed for busy learners who value flexibility without compromising quality.

✨ At Parasol Virtual, we go beyond certification. Our team supports your learning journey with guidance, resources, and local assistance to ensure your success. You’re not learning alone — you’re part of a global community with local support.

Purchase Self-Paced Course

TECHNOLOGIES USED

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