PMI Certified Professional in Managing AI (PMI-CPMAI)™ Exam Prep Course – Instructor-Led Training & Certification Course
The instructor-led PMI-CPMAI exam preparation course equips professionals to manage AI initiatives through a structured project-management approach covering data, models, deploy...
Course Overview
Learners develop practical capability in AI project management, machine learning lifecycle, data management, AI governance, AI risk management, ethical AI, model operationalization. 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
Who Should Attend
WHO SHOULD ATTEND (TARGET AUDIENCE)
• AI project managers
• AI product owners
• Data governance leads
• Digital transformation professionals
Pre-requisites
RECOMMENDED KNOWLEDGE BEFORE TAKING THIS COURSE
- ✓ Minimum of 3 years of professional project management experience
- ✓ Foundational understanding of artificial intelligence concepts
- ✓ Familiarity with AI project lifecycles including planning, data preparation, model development, and deployment
- ✓ Understanding of machine learning workflows, data governance, and ethical AI considerations
Certification Exam Details
Everything you need to know about the certification exam
Exam Details
Upcoming Batch Schedule
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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 and 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 4: Model Development and 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 5: 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 6: AI Governance and Risk
- 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.
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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 – Instructor-Led 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 – Instructor-Led.
What prerequisites are required for PMI Certified Professional in Managing AI (PMI-CPMAI)™ Exam Prep Course – Instructor-Led?
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 – Instructor-Led training?
The listed training duration is 32 Hours (4 Days).
What level is the PMI Certified Professional in Managing AI (PMI-CPMAI)™ Exam Prep Course – Instructor-Led course?
The course is positioned at the Advanced 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.