
PMI-CPMAI™ — PMI Certified Professional in Managing AI
Süni intellektdən istifadə etmək ≠ AI layihələrini idarə etmək
AI layihələrinə inamla rəhbərlik edin.
PMI-CPMAI™ süni intellekt təşəbbüslərini biznes ehtiyacından real və ölçülə bilən nəticələrə qədər idarə etmək üçün strukturlaşdırılmış, təkrarlana bilən və alətdən asılı olmayan (tool-agnostic) metodologiya təqdim edir.
21 saat | Instructor-Led | PMI-nin rəsmi materialları | Sertifikasiya imtahanına hazırlıq
Successful AI projects require more than choosing the right technology.
Business objectives, data quality, evolving models, multidisciplinary teams, governance, ethics and risk all need to be managed together.
PMI Certified Professional in Managing AI (PMI-CPMAI)™ is a professional certification and structured methodology specifically designed for managing AI projects.
The goal is not to teach you how to use a particular AI tool.
The goal is to teach you how to manage AI projects.
The PMI-CPMAI™ approach covers the AI project lifecycle from identifying the business need through data preparation, model development and evaluation to operationalizing the solution in a real business environment.
PMI-CPMAI™ helps you:
- Align AI initiatives with business goals
- Coordinate multidisciplinary and global teams
- Manage iterative delivery as AI requirements evolve
- Reduce risk across Responsible AI, regulatory compliance and data governance
- Operationalize AI solutions for measurable business value
01 — Business Understanding
Define the business problem and objectives and determine whether AI is the right solution.
02 — Data Understanding
Assess data availability, quality, relevance and limitations.
03 — Data Preparation
Clean, structure and prepare data for modeling.
04 — Model Development
Select, develop and iteratively improve models aligned with business objectives.
05 — Model Evaluation
Evaluate model performance, reliability and alignment with business objectives.
06 — Model Operationalization
Deploy AI solutions into real business processes, monitor performance and enable continuous improvement.
Responsible & Trustworthy AI principles are integrated throughout the methodology.
PMI-CPMAI™ uses the 7 Patterns of AI to help structure AI initiatives:
Hyperpersonalization
Autonomous Systems
Predictive Analytics & Decision Support
Conversational & Human Interaction
Pattern & Anomaly Detection
Recognition
Goal-Driven Systems
The framework helps teams scope AI initiatives, reduce ambiguity and align projects with business objectives.
Module 1 — The Need for AI Project Management
Understand why AI projects face unique challenges and how the CPMAI approach provides a structured way to address them.
Module 2 — Matching AI with Business Needs
Identify business needs, assess AI suitability, consider ROI and define project scope.
Module 3 — Identifying Data Needs
Identify the right data, address compliance requirements and plan the necessary infrastructure.
Module 4 — Managing Data Preparation
Transform raw data into AI-ready data through quality checks, augmentation and compliance controls.
Module 5 — Iterating Development & Delivery
Manage iterative model development and validation across technologies ranging from Machine Learning to Generative AI.
Module 6 — Testing & Evaluating AI Systems
Measure performance, monitor model drift and ensure results remain reliable, explainable and aligned with business objectives.
Module 7 — Operationalizing AI
Deploy AI solutions into real-world environments, establish governance and plan for continuous improvement.
Project, Program & Product Managers
Professionals leading AI projects or preparing to move into AI project leadership.
Data, IT & Technical Professionals
Professionals who want to complement their technical expertise with a structured project leadership approach.
Business Leaders & Decision Makers
Leaders responsible for AI investments and digital transformation initiatives.
Consultants & Transformation Professionals
Professionals managing AI transformation for organizations and clients.
Compliance & Governance Professionals
Professionals working with Responsible AI, risk, governance and regulatory compliance.
No problem.
There is:
- No minimum work experience requirement
- No prior PMI certification requirement
- No prior technical or AI experience requirement
21-Hour Instructor-Led Exam Prep Course
ICE Academia delivers PMI-CPMAI™ as a live Instructor-Led Training experience.
The program combines official PMI learning materials with scenario-based exercises, case studies, a downloadable workbook, instructor support, peer collaboration and certification exam preparation.
The program includes:
- 21 hours of learning
- Official licensed PMI learning materials
- Scenario-based exercises
- Case studies
- Downloadable workbook
- Instructor support
- Certification exam preparation
21 PDUs
11 Ways of Working | 7 Business Acumen | 3 Power Skills
PMI Premier Authorized Training Partner
ICE Academia is a PMI Premier Authorized Training Partner, delivering PMI-CPMAI™ using official, licensed PMI learning materials.
Instructor-Led Experience
Discuss concepts with your instructor and peers, work through practical scenarios and cases, and connect the methodology to real-world project and business environments.
AI + Project Management + Leadership
The focus goes beyond learning how to use AI tools.
The focus is on leading AI initiatives systematically and turning them into measurable business outcomes.
120 questions
160 minutes
Exam language: English
Delivery: Pearson VUE — online proctored or test center
Candidates must be at least 18 years old and complete the PMI-CPMAI™ Exam Prep Course to meet the certification eligibility requirements.
Mehmet Eğilmezer
PMI-CPMAI™ Instructor
PMI Construction Ambassador
PMP® · PMI-SCP™ · CSPP · GPM-b · PAL-I
ICF MCC · ACTC
Autodesk Certified Instructor
With approximately 25 years of international experience in construction, project management and executive leadership, Mehmet Eğilmezer connects the PMI-CPMAI™ methodology with practical project and business contexts throughout the program.
AI technologies will continue to change.
The structure, methodology and leadership capabilities required to turn AI initiatives into successful outcomes will become increasingly important.
Get ready to lead AI projects with PMI-CPMAI™.