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AppDynamics Monitoring · LearnSpace
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courseraIT и технологии

AppDynamics Monitoring

Курс от Coursera
Начальный≈ 3.9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

AppDynamics Monitoring for Machine Learning Applications is a beginner-level course designed to equip data scientists, ML engineers, and DevOps professionals with the specialized monitoring skills needed for production ML systems. Unlike traditional applications, machine learning systems have unique failure modes, complex data dependencies, and business-critical performance requirements that demand sophisticated observability approaches. This course provides hands-on experience with AppDynamics' AI-powered monitoring platform, teaching learners to implement comprehensive monitoring solutions that capture both technical performance and business outcomes. Through real-world case studies, practical exercises, and advanced troubleshooting scenarios, learners will master the art of maintaining reliable, high-performing ML applications that deliver consistent business value in production environments.

Навыки, которые вы освоите

Model OptimizationPerformance TuningApplication Performance ManagementAnomaly DetectionArtificial Intelligence and Machine Learning (AI/ML)Dependency AnalysisAI IntegrationsMLOps (Machine Learning Operations)Data MappingContinuous MonitoringSystem Monitoring

Программа курса

3 модулей · 24 учебных материалов

01Lesson 1: Introduction to AppDynamics for Machine Learning Applications9 материалов
The Silent Performance DegradationDIALOGUE Welcome to the Course: Course Overview ЧтениеIntroduction and Welcome ВидеоAppDynamics Architecture for ML Applications Видео

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Professionals in the Industry

Преподаватель курса

AppDynamics Monitoring
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Обучение на Coursera

≈ 3.9 ч

3 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Индонезийский, Испанский, Японский

Часть программы вашего университета
Understanding AppDynamics AI and ML CapabilitiesЧтение
Getting Started with AppDynamics for ML ApplicationsЧтение
Core AppDynamics Components and ML-Specific FeaturesВидео
HOL: Setting Up Basic AppDynamics Monitoring for an ML ApplicationЗадание
Evaluating Your ML Monitoring Strategy DIALOGUE
02Lesson 2: Implementing AppDynamics Monitoring for ML Systems6 материалов
Comprehensive AppDynamics Implementation GuideЧтениеMapping ML Application Flows and Dependencies ВидеоConfiguring Performance Metrics for ML Workloads ВидеоSetting Up Health Rules and Alerts for ML OperationsВидеоHOL: Configuring Complete ML Application Monitoring Задание Evaluating Your ML Monitoring ConfigurationDIALOGUE
03Lesson 3: Advanced Diagnostics and Optimization for ML Applications9 материалов
Identifying Performance Bottlenecks in ML PipelinesВидеоRoot-Cause Analysis for ML System FailuresВидеоAdvanced MLOps Monitoring and Observability StrategiesЧтениеImplementing Optimization Strategies for ML PerformanceВидеоHOL: Advanced ML System Troubleshooting and Optimization ЗаданиеStrategic ML System Optimization ReviewDIALOGUECongratulations and Continuous Learning Journey ВидеоProject: ML Application Monitoring Implementation Project:Production-Ready ML Monitoring ImplementationЗаданиеAssessmentЗадание