PMI Certified Professional in Managing AI (PMI-CPMAI)™

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Gain practical expertise in applying AI & ML concepts to real-world business projects through hands-on CRISP-DM labs, expert-led live training sessions, and the latest project management frameworks.

  • Attend 21 hours of expert-led live PMI-CPMAI training sessions
  • Gain hands-on experience through CRISP-DM labs & real-world AI project scenarios
  • Earn 21 PDUs to advance your career in AI & ML-based project management
  • Learn proven AI project management frameworks adaptable to evolving technologies
  • Manage AI project complexity, uncertainty, and continuous change with confidence
  • PMI-CPMAI Certification Course Overview

    The PMI Certified Professional in Managing AI (PMI-CPMAI™) helps aspirants master the six-phase CPMAI methodology. Ensure AI initiatives align with business goals, data is managed properly, and AI systems are implemented ethically while carrying out project management tasks. iCert Global’s PMI-CPMAI training combines the knowledge of Agile and CRISP-DM methodologies. While Agile methodologies promote flexibility and collaboration, CRISP-DM ensures structured data management throughout the AI project lifecycle, from planning to execution. Learn how to implement governance frameworks to handle AI-related risks like ethical, privacy, and compliance issues. Participate in scenario-based exercises and learn through CRISP-DM labs - apply practical project management principles to cope with quickly evolving AI and ML technologies.

    PMI-CPMAI Certification Training Highlights

    21 Hours of Interactive Training

    Attend interactive training sessions with PMI-authorized trainers. Master real-world project management skills, AI project delivery, and governance.

    Standardized Curriculum

    Learn through a comprehensive curriculum based on CRISP-DM, Agile methodologies, and official PMI-CPMAI certification standards.

    Permanent Resource Access

    Get lifetime access to course recordings, templates, case studies, and learning materials for continuous professional growth.

    Global Recognition

    Gain an industry-recognized credential that showcases your ability to lead and manage AI and machine learning projects confidently.

    Constant Support

    Receive 24/7 learning support throughout your certification journey. Resolve doubts and queries whenever needed.

    Recertification Credits

    Earn 21 Professional Development Units (PDUs) that can be applied toward renewing PMI certifications such as PMP®, PMI-ACP®, and PgMP®.


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    Skills You Will Gain in Our PMI-CPMAI Certification Course

    AI Project Management

    Learn how to apply project management methodologies to plan, manage, and deliver AI and Machine Learning projects successfully.

    Business & Data Alignment

    Ensure the AI initiatives are aligned with business goals. The data generated should be relevant and useful for delivering successful outcomes.

    AI Governance & Ethics

    Apply ethical AI practices, minimize bias, manage AI risks, and ensure compliance throughout the project's lifecycle.

    CRISP-DM Framework Application

    Learn how to plan, execute, and manage AI projects through simple steps.

    AI Risk & Complexity Management

    Use AI to identify risks, handle uncertainty, and manage the compliance issues related to AI projects.

    Leadership Skills

    Sharpen the skills required to manage AI-driven projects, including problem-solving, leadership, and critical thinking.

    Model Evaluation & Performance Monitoring

    Understand how the performance of AI models is monitored after deployment. Learn how these models are tested and improved frequently.

    Who Should Enroll in the PMI CPMAI Training Program?

    Project Managers & Program Managers

    Business Analysts

    Product Managers

    Agile Practitioners and Scrum Masters

    IT Managers and Technology Leaders

    Digital Transformation Consultants

    Operations and Strategy Professionals

    AI Enthusiasts looking to apply AI in business projects

    PMI-CPMAI Certification Roadmap

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    Why Get PMI-CPMAI Certified?

    Develop Future-Ready Skills

    Understand how AI is automating project management tasks and transforming business operations across healthcare, IT, construction, finance, and manufacturing industries.

    Improve Decision-Making

    Apply AI-driven data and insights to identify risks, boost productivity, draft plans, and control costs.

    Industry Recognition

    Earn a globally recognized certification that demonstrates your expertise in project execution and AI integration. Improve your chances of getting hired.

    Hands-on Experience

    Build the practical expertise required to apply AI frameworks and tools in real-world projects.

    PMI-CPMAI Certification Eligibility & Prerequisites

    The PMI-CPMAI certification doesn’t require you to fulfill any strict prerequisites. This course is accessible to professionals from diverse professional and educational backgrounds.

    Eligibility Criteria:
    Eligibility Criteria:
    Project Management Knowledge: A sound knowledge of project management concepts is beneficial.
    Learning Mindset: Willingness to learn how Artificial Intelligence can be integrated with a project management framework.
    Professional Background: Suitable for professionals who are working in IT, Data Science, and Machine Learning environments.

    Meet the Instructors

    Course Modules & Curriculum

    Module 1 Module 1: Introduction to PMI-CPMAI
    Lesson: AI Fundamentals

    Understand the unique characteristics and challenges of AI & Machine Learning projects.

    • Learn why traditional project management approaches are often insufficient for AI initiatives.
    • Explore the importance of the six-phase CPMAI methodology (business understanding, data understanding, data preparation, model development, model evaluation, and operationalization) for successful AI project delivery.
    • Gain a high-level overview of the PMI-CPMAI framework and AI project lifecycle.
    • Discover how modern AI-driven projects require specialized planning, governance, and execution strategies.
    • Build foundational knowledge to confidently manage real-world AI and ML initiatives.
    Module 2 Module 2: Project Life Cycle and Cognitive Strategy
    Lesson: Management & Strategy

    Understand how successful AI initiatives require a specialized management approach from project planning to final delivery.

    • Learn how to lead AI projects that involve evolving requirements, continuous learning models, and complex decision-making processes.
    • Explore strategies for managing the unique challenges and uncertainty often found in cognitive and AI-driven projects.
    • Discover how to structure the AI project life cycle to support experimentation, iteration, and continuous improvement while maintaining clear business objectives.
    • Gain practical insights into data governance, including data quality, privacy, compliance, and responsible AI practices.
    • Identify common AI project risks and learn effective mitigation techniques to reduce operational, technical, and ethical challenges.
    • Develop the ability to balance innovation with organizational control, accountability, and strategic alignment.
    • Learn how effective AI leadership can improve project outcomes, stakeholder confidence, and long-term business value.
    Module 3 Module 3: Delivery Models and Value Realization
    Lesson: Data & AI Model Management

    Learn how AI projects create business value through effective cognitive delivery models and data-driven decision-making.

    • Understand the importance of strong stakeholder management in aligning AI initiatives with organizational goals and expectations.
    • Explore how iterative testing and continuous validation improve AI model accuracy, reliability, and performance over time.
    • Discover best practices for implementing testing phases that support learning, optimization, and model refinement.
    • Gain insights into defining meaningful success KPIs for AI projects, including accuracy, efficiency, scalability, and business impact.
    • Learn how to measure and track AI performance to ensure solutions deliver real and measurable outcomes.
    • Understand how project managers can connect technical AI outputs with strategic business objectives and customer value.
    • Develop strategies to maximize value realization and ensure AI investments generate sustainable return on investment (ROI).
    • Build the skills needed to manage AI initiatives that are both innovative and commercially successful.
    Module 4 Module 4: Practical Scenario Implementation
    Lesson: Real-World Applications

    Apply AI project management concepts to real-world business and technology scenarios through practical learning exercises.

    • Gain hands-on experience in adapting CPMAI practices to different AI project environments and organizational needs.
    • Learn how to manage evolving and fluid project scopes commonly found in AI and cognitive development projects.
    • Explore practical strategies for overcoming common AI development challenges, including data limitations, changing requirements, and model performance issues.
    • Understand how to bridge the gap between theoretical AI frameworks and real implementation challenges.
    • Develop problem-solving skills that help improve collaboration, delivery efficiency, and project adaptability.
    • Learn how certified AI project management principles can enhance project success, stakeholder satisfaction, and operational effectiveness.
    • Build confidence in leading AI initiatives from concept to deployment using structured and scalable management practices.
    • Strengthen decision-making abilities to deliver better project outcomes in fast-changing AI environments.

    PMI-CPMAI Certification & Exam FAQ

    What is the PMI-CPMAI certification?
    PMI-CPMAI stands for PMI Certified Professional in Managing AI. It validates your ability to guide AI initiatives from the initial business case and data planning through model development, deployment, governance, and ongoing improvement. It focuses on managing AI projects rather than teaching programming or a specific AI platform.
    Does PMI-CPMAI cover the full AI project?
    Yes. It covers the complete AI project journey, including:

    • Finding the right business problem

    • Checking whether AI is suitable

    • Collecting and preparing data

    • Developing and testing the AI solution

    • Launching the solution

    • Monitoring and improving it

    Are ethics and AI governance included?
    Yes. The course explains important topics such as data privacy, security, fairness, bias, transparency, and responsible use of AI.
    What is the PMI-CPMAI six-phase methodology?
    The PMI-CPMAI six-phase methodology is a step-by-step approach for managing an AI project—from identifying the business problem to launching and improving the final AI solution.

    • Business Understanding: Define the business problem, expected benefits, and project goals. The team also checks whether AI is the right solution.

    • Data Understanding: Identify the data needed for the project. Check where it comes from and whether it is available, accurate, and suitable.

    • Data Preparation: Clean, organise, label, and prepare the data so it can be used to build the AI solution.

    • Model Development: Select, train, and improve the AI or machine-learning model based on the project requirements.

    • Model Evaluation: Test whether the model is accurate, reliable, fair, and aligned with the original business goals.

    • Model Operationalization: Launch the AI solution, connect it with business systems, and monitor its performance. The model may be updated when data, business needs, or conditions change.

    How many PDUs will I earn from this certification?
    You will earn 21 PDUs (Professional Development Units) provided by PMI.
    What is PMI‑CPMAI?
    PMI‑CPMAI is a PMI certification focused on managing AI initiatives using the CPMAI methodology and vendor‑agnostic best practices.
    Does CPMAI cover actual project management for AI beyond model development?
    Yes — model development is just one output; the framework covers ongoing monitoring and management of the full AI project.
    Is the CPMAI framework based on design thinking principles?
    It's based on CRISP-DM (a data-management framework); it includes some design-thinking elements but isn't fundamentally a design-thinking framework.
    Will CPMAI/AI replace human project managers?
    No — it's positioned as a structured methodology to help PMs use AI effectively, improving decision-making and outcomes rather than replacing the PM role.
    How is CPMAI recognized by employers — is it in demand yet?
    Still relatively new, but built on the well-established CRISP-DM foundation; being a PMI credential lends it market credibility.
    What's the difference between CPMAI™+ v7 and CPMAI™+E v7?
    v7 is the core course; +E v7 adds extra content (including deeper ethics coverage) and additional questions — optional after the base certification.

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    Who should take the PMI-CPMAI certification?
    It is suitable for: Project managers Product managers Business analysts Consultants IT professionals Data and AI professionals Team leaders Digital transformation professionals
    How is PMI-CPMAI different from PMP?
    PMP teaches general project management for different industries.PMI-CPMAI focuses only on AI projects. It covers special AI challenges such as data quality, model testing, AI risks, bias, governance, and ongoing monitoring. Both certifications can be useful together.
    Is PMP required before taking PMI-CPMAI?
    No. You do not need a PMP certification to take PMI-CPMAI.
    What salary can a PMI-CPMAI-certified professional earn?
    There is no fixed salary for PMI-CPMAI-certified professionals. Your salary will depend on your experience, job role, country, industry, and company. AI Project Managers may earn more than general project managers because they work with specialised AI projects.
    Is PMI-CPMAI useful for service-based companies?
    Yes. It can be used for customer projects, internal AI systems, automation, analytics, chatbots, generative AI, and other AI-based services.
    Why is PMP alone not always enough for AI projects?
    PMP gives you strong project management skills, but AI projects also involve data, model testing, uncertainty, bias, AI regulations, and continuous updates.PMI-CPMAI teaches you how to manage these AI-specific areas.
    Is the PMI-CPMAI training self-paced or instructor-led?
    training self-paced or instructor-led?Live, online, instructor-led sessions with interactive learning.
    What's included in the PMI-CPMAI training package?
    Live training hours, official PMI materials, downloadable workbooks/templates, scenario exercises, CRISP-DM labs, case studies, first exam voucher, completion certificate, and a Credly digital badge.
    Is ethics included as part of CPMAI training?
    Yes, treated as part of governance; trustworthiness in AI is a distinct training topic.
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