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PMI Certified Professional in Managing AI (PMI-CPMAI)™
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Find out more about PMI Certified Professional in Managing AI (PMI-CPMAI)™
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 Certified Professional in Managing AI (PMI-CPMAI)™
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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 Certified Professional in Managing AI (PMI-CPMAI)™ Packages
PMI-CPMAI Training
PMI-CPMAI Corporate Package
Course Contents
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- Oversee privacy and security plan:
- Manage AI/ML transparency (e.g., data selection, algorithm selection):
- Conduct bias checks (e.g., model, data, algorithm):
- Monitor regulatory and policy compliance:
- Manage accountability documentation and audit trail:
- Identify problem to be solved (e.g., needs, persona)
- Evaluate initial AI feasibility
- Conduct risk assessment(s) (e.g., security, safety, ethics)
- Develop AI project scope statement
- Determine ROI
- Manage adoption/integration risks
- Draft AI solution
- Define success criteria (e.g., KPIs, metrics)
- support business case creation
- Identify project resources (e.g., people, hardware, contractors )
- Define required data
- Identify data SMEs
- Identify data sources and locations
- Coordinate AI workspace and infrastructure
- Gather required data
- Check data privacy, compliance, and access
- Oversee data evaluation
- Determine if data meets solution needs
- Convey data understanding to leadership
- Oversee AI/ML model technique(s) (e.g., algorithm, selection)
- Oversee AI/ML model QA/QC (e.g., configuration management, model performance
- Manage AI/ML model training
- Manage data transformation to conduct data preparation
- Verify data quality for go/no-go decision to conduct data preparation
- Verify model ready for operationalization go/no-go decision
- Manage creation of AI solution deployment plan
- Manage AI solution deployment
- Oversee model governance
- Oversee AI solution metrics (e.g., KPI, model performance)
- Prepare final report/lessons learned
- Manage AI solution transition plan
- Oversee AI solution contingency plan
Eligibility of the course
To earn PMI-CPMAI Certification you must:
- Be at least 18 years old
- Complete the PMI-CPMAI Exam Prep Course (included in this bundle ) to understand the CPMAI methodology
Key takeaways
- 21 PDUs offered
- 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
Online 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 or anybody willing to upskill and learn AI enabled project management.
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 as well as E-learning course.
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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