The CPMAI v7 exam will reflect the structure of this table while incorporating approaches for successful AI implementation. The concept of customizing approaches to contribute to the value of the CPMAI will be found throughout the six domain areas listed below and are not isolated to any domain. The exact number of questions for each domain may vary by form.
The following table identifies the proportion of questions from each domain that will appear on the examination.
| Domain | Description | Percentage of Questions on Test |
|---|---|---|
| AI Fundamentals | Covers foundational concepts, history, types, and patterns of AI, and the basics of machine learning. | 16% |
| CPMAI Methodology | Focuses on the CPMAI project management framework, including business understanding, data understanding, data preparation, model development, evaluation, and the overall iterative process of AI projects. | 41% |
| Machine Learning | Addresses ML algorithms, neural networks, generative AI, and the selection of ML tools and platforms for AI projects. | 13% |
| Data for AI | Encompasses data fundamentals, governance, management, engineering of data pipelines, and preparation for AI use. | 13% |
| Managing AI | Includes model performance evaluation, deployment, operationalization, and lifecycle management of AI models. | 8% |
| Trustworthy AI | Focuses on ethical, responsible, and transparent AI, including privacy, security, explainability, and compliance with regulations. | 9% |
Cognitive Project Management in AI (CPMAI)™ v7 Training
The Cognitive Project Management in AI (CPMAI)™ v7 certification, offered by the Project Management Institute (PMI), is a comprehensive, vendor-neutral program designed to equip professionals with the skills and methodologies necessary to manage AI and machine learning projects effectively. This 30-hour, self-paced course provides a structured approach to integrating AI technologies within project management frameworks, ensuring alignment with business objectives and ethical standards.
Subscribe for the course here: PMI.org/shop/tc/p-/digital-product/cognitive-project-management-in-ai-(CPMAI)-v7—training-,-a-,-certification/cpmai-b-01
The CPMAI course encompasses the following key areas:
- AI Fundamentals: Develop a solid understanding of AI, machine learning, and deep learning concepts, including various learning methods such as supervised, unsupervised, and reinforcement learning.
- AI Project Management & Strategy: Learn best practices for managing AI projects, including the seven patterns of AI and the six phases of the CPMAI methodology, to ensure iterative and successful project outcomes.
- Data & AI Model Management: Master data preparation and management techniques essential for AI initiatives, and apply trustworthy AI principles throughout the development lifecycle.
- Real-World Applications: Apply your knowledge through case studies and hands-on projects, focusing on implementing Generative AI strategies to enhance project outcomes and streamline workflows.
- Comprehensive Workbook: Utilize a detailed workbook designed to guide you through each step of your AI initiatives, reinforcing learning and practical application.
By completing the CPMAI course, you’ll gain:
- A structured methodology for managing AI projects effectively.
- Insights into aligning AI initiatives with organizational strategies.
- Knowledge of ethical considerations and trustworthy AI practices.
- Practical experience through real-world applications and case studies.