PMI CPMAI_v7 Exam Syllabus
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Before starting your CPMAI_v7 exam preparation, it is recommended to review the complete PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free CPMAI_v7 questions. We also provide premium CPMAI_v7 practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.
PMI CPMAI_v7 Exam Objectives
| Section | Weight | Objectives |
|---|---|---|
| AI Fundamentals | 16% | This section measures the abilities of a Project Manager and explores foundational AI concepts, including its definition, links to human cognition, and differences across AGI, Strong, Weak, and Narrow AI. |
| CPMAI Methodology | 41% | This domain measures the skills of a Project Manager and outlines the distinctive characteristics of AI projects compared to traditional software development. |
| Machine Learning | 13% | This section is aimed at the Data/AI Lead and addresses practical machine learning applications. |
| Data for AI | 13% | This domain targets the Data/AI Lead and explores the central role of data in AI deployments, including Big Data concepts and unstructured data utility. |
| Managing A | 8% | This section is for the Project Manager and involves assessing model performance through quality assurance practices, validation techniques, overfitting and underfitting strategies, alignment with KPIs, and iterative refinements. |
| Trustworthy AI | 9% | This section is designed for the Project Manager and focuses on ethical, responsible, and transparent AI development. |
| Official Information | https://www.pmi.org/shop/tc/p-/digital-product/cognitive-project-management-in-ai-(cpmai)-v7---training-,-a-,-certification/cpmai-b-01 |
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