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Facilitated Methods | OCT CPMAI , Virtual Instructor led

Professional Community Events

Dates: November 17-19, 2026

Time: 09:00 AM -05:00 PM PDT

Location:  Virtual On-Line

Cost:  $1995; PMI-LA Members get 25% discount code LA25

Information and registration link:  https://facilitatedmethods.com/event/pmi-cpmai/

CPMAI equips professionals with a vendor-neutral, structured methodology to successfully manage AI projects. This course delivers in-depth training on AI concepts, project management best practices, and emerging technologies like Generative AI and Agentic AI.

Through real-world applications, case studies, and practical implementation techniques, CPMAI ensures you can confidently align AI initiatives with business goals. Whether you're new to AI or already implementing solutions, this certification provides the expertise needed to lead organizational initiatives with confidence.

Particularly suited to:

  • Project, program, and product managers
  • Data professionals
  • Technologists, Consultants, and IT professionals
  • Directors and Senior Managers leading AI initiatives

Course Outline

  • Introduction to PMI-CPMAI
  • The Need for AI Project Management
  • Matching AI with Business Needs:
    • CPMAI Phase 1 – Business Understanding
  • Identifying Data Needs for AI Projects:
    • CPMAI Phase 2 – Data Understanding
  • Managing Data Preparation Needs for AI Projects:
    • CPMAI Phase 3 – Data Preparation
  • Iterating Development and Delivery of AI Projects:
    • CPMAI Phase 4 – Model Development
  • Testing and Evaluating AI Systems:
    • CPMAI Phase 5 – Model Evaluation
  • Operationalizing AI:
    • CPMAI Phase 6 – Operationalizing AI

CPMAI certification from PM, I gives project managers the structure, confidence, and technical understanding needed to successfully lead AI initiatives. Through a vendor‑neutral methodology, real‑world case studies, and practical implementation techniques, PMs learn how to align AI projects with business goals, manage data and model risks, collaborate with cross‑functional teams, and deliver AI solutions that are ethical, measurable, and production‑ready.

 

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