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Optimize AI: Plan, Evaluate, and Learn
Курс от CourseraО курсе
Optimize AI: Plan, Evaluate, and Learn – equips project and program managers with the skills to guide AI systems through change and uncertainty. In this course, you’ll learn how to analyze performance data to plan retraining, evaluate algorithm families under real-world constraints, and design continuous-learning strategies with canary deployments and rollback safeguards. Through scenario-based discussions, hands-on activities, and practical tools like MLflow dashboards, evaluation matrices, and retraining calendars, you’ll practice making informed decisions under pressure. By the end, you’ll be able to detect risks early, balance accuracy and speed, and sustain reliable AI systems that align with business goals.
Навыки, которые вы освоите
Decision MakingRisk ManagementProcedure DevelopmentContinuous DeploymentAlgorithmsRisk Management FrameworkStrategic Decision-MakingA/B TestingExperimentationBusiness PrioritiesPredictive ModelingOperational AnalysisProduct PlanningProject PlanningAdvanced AnalyticsRisk AnalysisApplied Machine LearningModel TrainingProduct DevelopmentRelease Management
Программа курса
1 модулей · 17 учебных материалов
01Optimize AI: Plan, Evaluate, and Learn17 материалов
Learning from the Past to Prepare the Future
Why Planning MattersDIALOGUEReading MLflow Dashboards Like a Project ManagerВидеоTackling Data and Model Drift in AIЧтениеDetect Precision Drops in ML FlowsВидеоУчитесь у экспертов
Professionals in the Industry
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