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

Price
$2,295.00 USD

Duration
3 Days

 

Delivery Methods
Virtual Instructor Led
Private Group

Course Overview

AI is changing how organizations develop products, improve operations, serve customers, and make decisions. But implementing AI successfully takes more than technical capability. Organizations need professionals who can evaluate opportunities, set clear business objectives, coordinate diverse teams, manage data and development challenges, address governance and ethical considerations, and turn AI investments into measurable results.

PMI-CPMAI certification training gives you a structured framework for doing exactly that. Prepare for the exam, build practical AI project management skills, and position yourself to lead one of the fastest-growing categories of projects in today's workplace.

This course will earn you 21 PDUs

*More Value, One Complete Package*: The course fee includes a voucher for the PMI-CPMAI certification exam.

Course Objectives

  • Learn how to lead AI projects without coding
  • Gain familiarity with the tool-agnostic CPMAI methodology
  • Master the art of guiding AI development and evaluation
  • Understand responsible AI usage and governance
  • Begin translating technical complexity into business value

Who Should Attend?

PMI-CPMAI certification training is designed for professionals who manage, contribute to, advise on, or want to lead artificial intelligence initiatives. No prior AI development experience is required to pursue the PMI-CPMAI certification.
  • Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
  • Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
  • Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
  • Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
  • Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
  • Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.

Agenda

Introduction

  • Course Overview
  • Learning Objectives

Introduction to the PMI-CPMAI Exam

  • The Need for AI Project Management
  • Why AI Now?
  • The Seven Patterns of AI
  • Why AI Projects Fail
  • Fears & Concerns of Trustworthy AI
  • Layers of Trustworthy AI
  • Iterative and Adaptive Approaches for AI
  • Cognitive Project Management for AI

Matching AI with Business Needs

  • Determine the Problem You Are Solving and if AI is a
  • Good Fit
  • Evaluate AI Feasibility
  • Map Business Problems to AI Patterns
  • Determine AI Go/No-Go
  • Determine AI Project ROI and Success Metrics
  • Scope and Schedule AI Projects
  • Determine Needs for the AI Project Team
  • Determine Project-Specific AI Risks
  • Learn How All This Maps to PMI-CPMAI™ Phase I

Identifying Data Needs for AI Projects

  • The Role of Data in AI
  • Determine Data Quality and Quantity Requirements for AI
  • Determine Data Sets for AI Projects
  • Understand Data Privacy, Compliance, and Access Requirements
  • Coordinate Data Infrastructure and Access Needs
  • Analytics and Key Data Roles
  • Learn How All This Maps to PMI-CPMAI™ Phase II

Managing Data Preparation Needs for AI Projects

  • Data Preparation for AI Projects
  • Data Pipeline in AI Projects
  • Data Quality Check and Verification
  • Data Transformation and Synthetic Data
  • Data Augmentation and Labeling for AI
  • Data Management for Generative AI Systems
  • Trustworthy AI in Data Preparation
  • Learn How All This Maps to PMI-CPMAI™ Phase III

Iterating Development and Delivery of AI Projects

  • Machine Learning and Models
  • Model Development
  • Model Validation
  • Building Generative AI Systems
  • Learn How All This Maps to PMI-CPMAI™ Phase IV

Testing and Evaluating AI Systems

  • Model Evaluation
  • Model Iteration
  • Model Performance, Data and Model Drift
  • Evaluating Models Against Business and Technology KPIs
  • AI System Monitoring and Management
  • Explainable and Interpretable AI System
  • Learn How All This Maps to PMI-CPMAI™ Phase V

Operationalizing AI

  • Moving AI Models into Operations
  • AI Platforms and Infrastructure
  • Ways to Interact with AI Models
  • Operationalizing Generative AI
  • Model Life Cycle Management
  • AI and Model Governance
  • Trustworthy AI Considerations in Operations
  • Limits of AI
  • Moving to the Next Iteration After PMI-CPMAI™ Phase VI

Course Closeout

  • Course Summary
  • Next Steps for Taking the Exam
  • Wrap-Up
 

Upcoming Class Dates and Times

Nov 2,3,4
8:30 AM - 5:00 PM
ENROLL $2,295.00 USD
CourseID: 3606956E
 



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