{"product_id":"pmi-certified-professional-in-managing-ai-pmi-cpmai™","title":"PMI Certified Professional in Managing AI (PMI-CPMAI)™","description":"\u003cdiv\u003e\n\u003cp\u003eLead AI initiatives end-to-end using the PMI Certified Professional in Managing AI (PMI-CPMAI)™ methodology. In this hands-on, instructor-led workshop, you’ll learn how to scope AI opportunities, define success measures, work through data-centric delivery, and plan for deployment, monitoring, and governance across iterative cycles.\u003c\/p\u003e\r\n\u003cp\u003eThis course’s content is aligned to the official PMI-CPMAI curriculum, and includes the PMI on-demand course and exam bundle, plus a 1-year membership to PMI.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003ePMI Certified Professional in Managing AI (PMI-CPMAI)™ Benefits\u003c\/h3\u003e\n\u003cul\u003e\u003cli\u003e\n\u003cp\u003e\u003cb\u003eBenefits\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eThis is a Learning Tree authored, instructor-led course that follows the official PMI-CPMAI curriculum and incorporates PMI’s on-demand bundle (including the exam voucher) as part of the overall learning package.\u003c\/li\u003e\n\u003cli\u003eLearn PMI’s CPMAI v7 framework to manage AI initiatives from problem framing through operationalization.\u003c\/li\u003e\n\u003cli\u003eApply the six CPMAI phases: Business Understanding, Data Understanding, Data Preparation, Model Development, Model Evaluation, and Model Operationalization.\u003c\/li\u003e\n\u003cli\u003eBuild confidence in data sourcing, quality, labeling, governance, and pipelines that make AI solutions reliable and repeatable.\u003c\/li\u003e\n\u003cli\u003eLearn how to evaluate models, plan deployment, monitor performance, and manage drift so AI solutions deliver measurable business value.\u003c\/li\u003e\n\u003cli\u003eIncorporate ethics, privacy, security, transparency, and organizational controls into your AI delivery approach.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eWhat to Expect\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eExam Prep Course\u003c\/b\u003e: This course is designed to help you prepare for a certification exam. You can expect coverage of all exam learning objectives, with a focus on understanding key concepts, terminology, and how they’re assessed. For a deeper, more hands-on learning experience, consider Risk Management Training for Projects, Programs, and Operations.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eContent Pace\u003c\/b\u003e: Certification courses are fast-paced so that all exam objectives are covered. Instructors adhere to a stricter schedule so that everything is covered. While discussions and examples are included, the focus remains on certification readiness.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOutside of Class Study Time:\u003c\/b\u003e Plan for self-study outside of class, especially if the content is new to you. Passing the exam is not guaranteed.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eAudience \u0026amp; Prerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eWho Should Attend: \u003c\/b\u003eThis course is intended for project managers, product managers, PMO leaders, business analysts, consultants, and technology professionals who support or lead AI initiatives and want a practical, end-to-end framework for delivering AI solutions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePrerequisites: \u003c\/b\u003eThere are no formal prerequisites required to attend this course or to sit for the PMI-CPMAI (CPMAI v7) exam. The course begins with AI fundamentals and progresses through the CPMAI methodology from Business Understanding to Model Operationalization.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eRecommended Background\u003c\/b\u003e: Familiarity with project delivery concepts (scope, stakeholders, outcomes) and basic data\/analytics vocabulary is helpful. No coding is required; technical depth is introduced at a management level with practical examples and exercises.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eCertification \u0026amp; Exam Information\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eCertification Alignment\u003c\/b\u003e: This Learning Tree instructor-led course is aligned to the PMI Certified Professional in Managing AI (PMI-CPMAI)™ \/ CPMAI v7 exam domains: AI Fundamentals, CPMAI Methodology, Machine Learning, Data for AI, Managing AI, and Trustworthy AI.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCertification Expectations\u003c\/b\u003e: This course includes the official PMI-CPMAI On-Demand course, plus as exam voucher and 1 year of PMI membership. Passing the exam is not guaranteed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eExam Details\u003c\/b\u003e: The CPMAI v7 exam exam includes 100 questions total (including 10 unscored pre-test questions) with 2 hours (120 minutes) to complete the exam and no scheduled break. You may attempt the exam up to three times within the 90-day eligibility period (per PMI policy). Currently, CPMAI v7 does not require PDUs or renewal to maintain the credential once earned.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003ePMI CPMAI Certification Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eRequired Pre‑Course Preparation\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eEnsure you have access to your PMI and My Learning Tree portals before the start of class. Reach out to Learning Tree customer service if you are having trouble.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 1: The Need for AI Project Management\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eWhy AI now?\u003c\/li\u003e\n\u003cli\u003e7 patterns of AI\u003c\/li\u003e\n\u003cli\u003eWhy AI projects fail\u003c\/li\u003e\n\u003cli\u003eFears and concerns of trustworthy AI\u003c\/li\u003e\n\u003cli\u003eThe layers of trustworthy AI\u003c\/li\u003e\n\u003cli\u003eIterative and agile approaches for AI\u003c\/li\u003e\n\u003cli\u003eCognitive project management in AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 2: Matching AI With Business Needs: CPMAI Phase I – Business Understanding\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDetermine the problem you are solving and if AI is a good fit\u003c\/li\u003e\n\u003cli\u003eEvaluate AI feasibility\u003c\/li\u003e\n\u003cli\u003eMap business problems to AI patterns\u003c\/li\u003e\n\u003cli\u003eDetermine AI go\/no-go\u003c\/li\u003e\n\u003cli\u003eDetermine AI project ROI and success metrics\u003c\/li\u003e\n\u003cli\u003eScope and schedule AI projects\u003c\/li\u003e\n\u003cli\u003eDetermine needs for the AI project team\u003c\/li\u003e\n\u003cli\u003eDetermine project-specific AI risks\u003c\/li\u003e\n\u003cli\u003eLearn how all this maps to CPMAI Phase I\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 3: The Role of Data in AI\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDetermine data quality and quantity requirements for AI\u003c\/li\u003e\n\u003cli\u003eDetermine data sets for AI projects\u003c\/li\u003e\n\u003cli\u003eUnderstand data privacy, compliance, and access requirements\u003c\/li\u003e\n\u003cli\u003eCoordinate data infrastructure and access needs\u003c\/li\u003e\n\u003cli\u003eAnalytics and key data roles\u003c\/li\u003e\n\u003cli\u003eLearn how all this maps to CPMAI Phase II\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 4: Managing Data Preparation Needs for AI Projects: CPMAI Phase III – Data Preparation\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eData preparation for AI projects\u003c\/li\u003e\n\u003cli\u003eData pipeline in AI projects\u003c\/li\u003e\n\u003cli\u003eData quality checks and verification\u003c\/li\u003e\n\u003cli\u003eData transformation and synthetic data\u003c\/li\u003e\n\u003cli\u003eData augmentation and labeling for AI\u003c\/li\u003e\n\u003cli\u003eData management for generative AI systems\u003c\/li\u003e\n\u003cli\u003eTrustworthy AI in data preparation\u003c\/li\u003e\n\u003cli\u003eHow it all maps to CPMAI Phase III\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 5: Iterating Development and Delivery of AI Projects: CPMAI Phase IV – Model Development\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eMachine learning and models\u003c\/li\u003e\n\u003cli\u003eModel development\u003c\/li\u003e\n\u003cli\u003eModel validation\u003c\/li\u003e\n\u003cli\u003eBuilding generative AI systems\u003c\/li\u003e\n\u003cli\u003eMapping AI development to CPMAI Phase IV\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 6: Testing and Evaluating AI Systems​: CPMAI Phase V – Model Evaluation\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eModel evaluation\u003c\/li\u003e\n\u003cli\u003eModel iteration\u003c\/li\u003e\n\u003cli\u003eModel performance, and data and model drift\u003c\/li\u003e\n\u003cli\u003eEvaluating models against business and technology KPIs\u003c\/li\u003e\n\u003cli\u003eAI system monitoring and management\u003c\/li\u003e\n\u003cli\u003eExplainable and interpretable AI systems\u003c\/li\u003e\n\u003cli\u003eMapping to CPMAI Phase V\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 7: Operationalizing AI: CPMAI Phase VI – Model Operationalization\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eMoving AI models into operation\u003c\/li\u003e\n\u003cli\u003eAI platforms and infrastructure\u003c\/li\u003e\n\u003cli\u003eWays to interact with AI models\u003c\/li\u003e\n\u003cli\u003eOperationalizing generative AI\u003c\/li\u003e\n\u003cli\u003eModel lifecycle management\u003c\/li\u003e\n\u003cli\u003eAI and model governance\u003c\/li\u003e\n\u003cli\u003eTrustworthy AI considerations in operation\u003c\/li\u003e\n\u003cli\u003eLimits of AI\u003c\/li\u003e\n\u003cli\u003eMoving to the next iteration after CPMAI Phase VI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"266D97US \/ 2026-06-10T09:00:00 \/ Online","offer_id":48833423409371,"sku":"US-3604-IL","price":1800.0,"currency_code":"USD","in_stock":true},{"title":"267A95CN \/ 2026-07-22T09:00:00 \/ 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