Home › PMI › PMI Certified Professional in Managing AI (PMI-CPMAI)™ Exam Prep Course – eLearning

PMI Certified Professional in Managing AI (PMI-CPMAI)™ Exam Prep Course – eLearning Training & Certification Course

The CPMAI eLearning course develops the project-management knowledge required to lead AI initiatives using a structured lifecycle from business understanding and data preparatio...

★ 4.9 Rating
🎓 978 Learners
⏱️ 30 Hours (3 Days)
🏫 Live Online / Classroom

Course Overview

The CPMAI eLearning course develops the project-management knowledge required to lead AI initiatives using a structured lifecycle from business understanding and data preparation through model development, evaluation, operationalization, and trustworthy AI. The program is structured to connect recognized PMI concepts with the practical decisions professionals make when planning, delivering, monitoring, governing, and improving work. It brings together the terminology, frameworks, methods, tools, and examination themes relevant to AI project management, data literacy, machine learning lifecycle, model development, model evaluation, model operationalization, trustworthy AI, while keeping the learning focused on professional application rather than isolated theory.

Learners develop practical capability in AI project management, data literacy, machine learning lifecycle, model development, model evaluation, model operationalization, trustworthy AI. The learning experience emphasizes how to interpret project situations, select appropriate approaches, communicate with stakeholders, manage constraints and dependencies, identify risks or issues, and use structured information to support decisions. Depending on the course, learners work through scenarios, examples, planning exercises, analytical techniques, examination-style questions, and structured reviews so that concepts can be transferred into workplace situations. The curriculum also reinforces the relationships between strategy, delivery, people, process, governance, performance, and measurable outcomes. By the end of the course, participants should have a clearer framework for applying the subject matter in their current responsibilities and for preparing systematically for the associated PMI assessment where one applies.

Optiv Solutions can enhance the delivery through instructor-led sessions, customized corporate examples, guided practice, structured revision, assessment checkpoints, and post-session support. Training can be contextualized around the learner's industry, role, project environment, and existing maturity so that the same core curriculum becomes more relevant to day-to-day work. Optiv can also combine live explanation with practical exercises, discussion-based learning, mock assessments, progress reviews, and targeted doubt-clearing. For enterprise learners, the delivery can be adapted around business schedules and organizational priorities while maintaining alignment with the course objectives. This approach is intended to make the learning experience more interactive, application-oriented, and easier to connect with real project responsibilities.

Skills You’ll Develop

✦ AI project management ✦ data literacy ✦ machine learning lifecycle ✦ model development ✦ model evaluation ✦ model operationalization ✦ trustworthy AI

Who Should Attend

👥

WHO SHOULD ATTEND (TARGET AUDIENCE)

• Project managers
• AI project professionals
• Data and analytics leaders
• Digital transformation professionals

Pre-requisites

ℹ️

RECOMMENDED KNOWLEDGE BEFORE TAKING THIS COURSE

  • ✓ Hold a PMP or CAPM certification, or possess a minimum of 2 years of professional project management experience
  • ✓ Foundational understanding of data and analytics terminology

Certification Exam Details

Everything you need to know about the certification exam

📄

Exam Details

EXAM CODE PMI-CPMAI
EXAM NAME PMI Certified Professional in Managing AI (PMI-CPMAI)™ Certification Exam
FORMAT Multiple choice questions, case studies, Lab based
QUESTIONS 120
DURATION 180 minutes

Upcoming Batch Schedule

Enroll in upcoming batches and start your learning journey

📅
No Public Batch available. Pick your dates. 4 Hours / 8 Hours • Weekdays / Weekends
Enroll Now

Curriculum & Course Syllabus

Module 1: AI Project Foundations
  • Understand the core concepts, terminology, purpose, and practical role of this topic within the course.
  • Apply the topic through relevant project situations, decisions, tools, or techniques covered in the learning program.
  • Review common challenges, relationships, and practical considerations so learners can use the topic effectively in professional work.
Module 2: Business Understanding
  • Understand the core concepts, terminology, purpose, and practical role of this topic within the course.
  • Apply the topic through relevant project situations, decisions, tools, or techniques covered in the learning program.
  • Review common challenges, relationships, and practical considerations so learners can use the topic effectively in professional work.
Module 3: Data Understanding
  • Understand the core concepts, terminology, purpose, and practical role of this topic within the course.
  • Apply the topic through relevant project situations, decisions, tools, or techniques covered in the learning program.
  • Review common challenges, relationships, and practical considerations so learners can use the topic effectively in professional work.
Module 4: Data Preparation
  • Understand the core concepts, terminology, purpose, and practical role of this topic within the course.
  • Apply the topic through relevant project situations, decisions, tools, or techniques covered in the learning program.
  • Review common challenges, relationships, and practical considerations so learners can use the topic effectively in professional work.
Module 5: Model Development
  • Understand the core concepts, terminology, purpose, and practical role of this topic within the course.
  • Apply the topic through relevant project situations, decisions, tools, or techniques covered in the learning program.
  • Review common challenges, relationships, and practical considerations so learners can use the topic effectively in professional work.
Module 6: Model Evaluation
  • Understand the core concepts, terminology, purpose, and practical role of this topic within the course.
  • Apply the topic through relevant project situations, decisions, tools, or techniques covered in the learning program.
  • Review common challenges, relationships, and practical considerations so learners can use the topic effectively in professional work.
Module 7: Model Operationalization
  • Understand the core concepts, terminology, purpose, and practical role of this topic within the course.
  • Apply the topic through relevant project situations, decisions, tools, or techniques covered in the learning program.
  • Review common challenges, relationships, and practical considerations so learners can use the topic effectively in professional work.
Module 8: Trustworthy AI
  • Understand the core concepts, terminology, purpose, and practical role of this topic within the course.
  • Apply the topic through relevant project situations, decisions, tools, or techniques covered in the learning program.
  • Review common challenges, relationships, and practical considerations so learners can use the topic effectively in professional work.

Student Reviews & Testimonials

Real feedback from certified professionals and corporate teams

★★★★★ 4.9 / 5.0 Verified Reviews
“
E
Eric Tan
✓ Verified Learner
★ ★ ★ ★ ★
4.0

"“The sessions gave me a clear structure for applying the concepts to real work. The examples, explanations, and practice activities helped me connect the course material with situations I regularly face.”"

🎓 PMI Certified Professional in Managing AI (PMI-CPMAI)™ Exam Prep Course – eLearning Course Singapore
“
L
Lucia Romano
✓ Verified Learner
★ ★ ★ ★ ★
4.0

"“I appreciated the practical approach throughout the training. Complex topics were broken into manageable sections, and the exercises helped me understand how to make better project decisions.”"

🎓 PMI Certified Professional in Managing AI (PMI-CPMAI)™ Exam Prep Course – eLearning Course Italy
“
K
Khalid Al-Harbi
✓ Verified Learner
★ ★ ★ ★ ★
4.0

"“The course was well organized and easy to follow. I especially valued the balance between conceptual learning, practical examples, and preparation activities that I could continue using after the training.”"

🎓 PMI Certified Professional in Managing AI (PMI-CPMAI)™ Exam Prep Course – eLearning Course Saudi Arabia
“
E
Ella Brown
✓ Verified Learner
★ ★ ★ ★ ★
5.0

"“The training strengthened my confidence with the subject and gave me a more systematic way to approach my responsibilities. The discussions and scenario-based explanations were particularly useful.”"

🎓 PMI Certified Professional in Managing AI (PMI-CPMAI)™ Exam Prep Course – eLearning Course Canada
“
T
Tomáš Dvořák
✓ Verified Learner
★ ★ ★ ★ ★
5.0

"“I found the learning experience relevant to an international project environment. The structured curriculum, practical guidance, and revision support made the topics much easier to apply in day-to-day work.”"

🎓 PMI Certified Professional in Managing AI (PMI-CPMAI)™ Exam Prep Course – eLearning Course Czech Republic

Frequently Asked Questions

Is the PMI Certified Professional in Managing AI (PMI-CPMAI)™ Certification Exam exam included in the training?

The training and certification examination are treated as separate components unless an enrollment option specifically states that an exam voucher is included.

Who should attend the PMI Certified Professional in Managing AI (PMI-CPMAI)™ Exam Prep Course – eLearning course?

The course is intended for professionals and learners whose responsibilities or career goals align with the subject covered by PMI Certified Professional in Managing AI (PMI-CPMAI)™ Exam Prep Course – eLearning.

What prerequisites are required for PMI Certified Professional in Managing AI (PMI-CPMAI)™ Exam Prep Course – eLearning?

Learners should review the prerequisites listed for the course and, where certification eligibility applies, confirm the current requirements with PMI before registering for the examination.

How long is the PMI Certified Professional in Managing AI (PMI-CPMAI)™ Exam Prep Course – eLearning training?

The listed training duration is 30 Hours (3 Days).

What level is the PMI Certified Professional in Managing AI (PMI-CPMAI)™ Exam Prep Course – eLearning course?

The course is positioned at the Intermediate level where a level is specified; learners should consider their existing experience and the published prerequisites before attending.

How does Optiv Solutions deliver this training?

Optiv Solutions can provide instructor-led delivery with practical examples, guided exercises, customized corporate scenarios, revision support, and learner-focused doubt clarification.

Build a Future-Ready Workforce. Get a quote in 24 hours.

Tell us your technology, team size, learning objectives, and preferred timeline. We'll help you design the right training approach.

Headquarters
Gurugram, India
Working Hours
Mon - Fri: 9:00 AM - 7:00 PM IST
Request corporate training_

Share a few details about your organization and learning requirements. Our team will review your needs and recommend the most suitable approach.

We reply within one business day.