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PMI CPMAI (Certified Professional in Managing AI)
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Find out more about PMI CPMAI (Certified Professional in Managing AI)
The PMI Certified Professional in Managing AI (CPMAI) course equips professionals with the knowledge and skills to lead AI-driven projects effectively. It covers AI fundamentals, ethical considerations, data governance, and AI project lifecycle management. Participants learn to integrate AI strategies with traditional project management practices, enabling informed decision-making, risk management, and value delivery in AI initiatives. The course emphasizes practical tools, frameworks, and best practices, preparing learners to manage AI projects confidently, drive organizational transformation, and achieve successful AI outcomes.
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About PMI CPMAI (Certified Professional in Managing AI)
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Covers AI fundamentals, principles, and strategies for effective project management.
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Explains integration of AI with traditional project management practices.
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Focuses on ethical AI, data governance, and compliance considerations.
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Teaches AI project lifecycle from initiation to deployment and maintenance.
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Emphasizes risk management and decision-making in AI-driven initiatives.
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Provides frameworks for managing AI resources, tools, and technologies.
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Offers practical insights for successful AI adoption in organizations.
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Prepares participants for PMI CPMAI certification examination and credentials.
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Enhances skills to lead multidisciplinary teams on AI projects.
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Builds capabilities for delivering value from AI projects effectively.
PMI CPMAI (Certified Professional in Managing AI) Packages
PMI CPMAI Training
PMI CPMAI Corporate Package
Course Contents
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- AI Concepts & Evolution: Understand AI's relationship to human intelligence, its history, and types.
- Machine Learning Basics: Learn about supervised, unsupervised, and reinforcement learning.
- AI Applications: Identify use cases like pattern recognition, RPA, and conversational AI.
- AI Project Lifecycle: Navigate the six CPMAI phases: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment.
- Agile Integration: Apply iterative development and Agile practices to AI projects.
- Stakeholder Management: Align AI initiatives with business goals and manage expectations.
- Model Development: Build and validate machine learning models.
- Feature Engineering: Prepare data for model training and improve performance.
- Model Evaluation: Assess model accuracy and reliability.
- Data Acquisition: Identify and collect relevant datasets for AI projects.
- Data Quality: Ensure data accuracy, completeness, and consistency.
- Data Transformation: Prepare data for analysis and modeling.
- Project Management: Apply project management principles to AI initiatives.
- Risk Management: Identify and mitigate risks in AI projects.
- Team Collaboration: Foster effective communication and collaboration among AI project teams.
- Ethical AI: Implement ethical considerations in AI development and deployment.
- Bias Mitigation: Address and reduce bias in AI models.
- Transparency: Ensure transparency and accountability in AI systems.
Eligibility of the course
- Bachelor’s degree, 3–5 years project management experience
- basic AI knowledge recommended
- open to professionals leading AI initiatives
- English proficiency required.
Key takeaways
- Comprehensive Study material
- Access to Practice tests
- Access to LMS course content
- Access to course assignments
- Industry-relevant case-studies

Course features

Comprehensive AI Training

Project Management Focus

CPMAI Methodology

Practical Assignments

Exam Preparation

Instructor-Led Training
Course Benefits

Learn to manage AI-driven projects effectively.
Combine traditional project management with AI strategies.
Gain skills to implement bias-free, transparent AI systems.
Make informed, data-driven decisions for AI initiatives.
Follow the CPMAI six-phase framework for project success.
Boost credentials and open opportunities in AI and project leadership.
Apply concepts through real-world case studies and exercises.
Handle project risks and align with business goals.
PMI certification recognized worldwide across industries and domains.
Drive AI initiatives that deliver measurable value and innovation.
FAQs
Asked Questions & Answer
It’s a credential that validates skills in managing AI-driven projects effectively.
Project managers, AI practitioners, technologists, and professionals leading AI initiatives.
Bachelor’s degree and 3–5 years of project management experience; AI knowledge recommended.
Typically 21–30 hours of training .
Available in instructor-led online .
AI fundamentals, ethical AI, data governance, project lifecycle, risk management, and value delivery.
Yes, the course is designed to prepare participants for the PMI CPMAI exam.
Enhanced skills to lead AI projects, make informed decisions, and deliver value effectively.
Yes, it is issued by PMI, a globally recognized project management authority.
Yes, professionals with project management experience and interest in AI can enroll.
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