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AI Project Management

PMI-CPMAI Crash Course: AI Project Management Fundamentals

A free, structured introduction to the PMI-CPMAI methodology, covering why AI projects fail, the CPMAI mindset, the six phases, and key governance topics.

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Lessons
0
Level
intermediate

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About this path

This learning path is based on the PMKinetic PMI-CPMAI Crash Course playlist. It provides a high-level, exam-aligned overview of the PMI Cognitive Project Management for AI methodology. You will learn why traditional project management fails in AI projects, how the CPMAI mindset works, what the six phases are and why they are iterative, and how CPMAI compares to Agile and CRISP-DM. The path also covers essential governance topics like trustworthy AI, ethics, privacy, security, bias, transparency, and explainability. It is designed to build the correct mindset and prepare you for deeper study, but it does not replace full exam preparation.

What you will learn

  • Explain why most AI projects fail and why traditional project management is insufficient for AI initiatives.
  • Describe the CPMAI mindset and the six CPMAI phases, and explain why the methodology is iterative rather than linear.
  • Differentiate CPMAI from Agile and CRISP-DM.
  • Identify key AI governance concepts including trustworthy AI, ethical vs responsible AI, data privacy, security, bias, transparency, and explainability.
  • Apply CPMAI principles to define AI problems, set business vs AI objectives, and conduct feasibility analysis.

Who this is for

Self-paced learners who want a clear free path with creator-credited YouTube lessons.

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