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Integrate and Optimize AI Services Seamlessly · LearnSpace
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Integrate and Optimize AI Services Seamlessly

Курс от Coursera
Средний≈ 2.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

"Integrate and Optimize AI Services Seamlessly" is an applied, intermediate-level course designed for engineers and ML practitioners who want to build reliable, production-ready AI systems. Across focused, hands-on lessons, the course explores how real-world services communicate using APIs, message queues, and structured serialization formats. Learners gain practical experience integrating prediction services with gRPC and protobuf, improving consistency, performance, and cross-language compatibility. The course also guides participants through deployment health essentials, including interpreting Prometheus metrics, spotting early warning signs during canary releases, and making safe decisions to stabilize or roll back new versions. Through real scenarios, interactive activities, and expert-led demos, students develop the confidence to ship AI services that are fast, resilient, and operationally sound in modern distributed environments.

Навыки, которые вы освоите

AI IntegrationsRestful APIAPI TestingSystem MonitoringMiddlewareSite Reliability EngineeringMachine Learning

Программа курса

1 модулей · 15 учебных материалов

01Integrate and Optimize AI Services Seamlessly15 материалов

Why AI Services Need Strong Integration Foundations

Your First Integration Decision: Connecting an AI Prediction ServiceDIALOGUEWhere AI Systems Break: Integration FirstВидеоAPIs, Queues, and Serialization: The Core Integration ToolkitЧтениеHow gRPC and Protobuf Reduce Latency and ErrorsВидео

Учитесь у экспертов

Professionals in the Industry

ansrsource instructors

Integrate and Optimize AI Services Seamlessly
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Обучение на Coursera

≈ 2.4 ч

1 модулей

Язык: Английский

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

Часть программы вашего университета
Integrating an AI Prediction Service: Choosing the Right InterfaceВидео
Quiz: Mapping Integration Choices to System RequirementsЗадание
HOL: Designing an Integration Plan for an AI Prediction ServiceЗадание

Evaluate Deployment Health and Act on Real-Time Signals

When a Release Goes Wrong: What Would You Check First?DIALOGUEWhy Deployment Health Is Your Real Safety Net?ВидеоUnderstanding Latency Percentiles in Production SystemsЧтениеCanary Releases: Roll Forward, Stabilize, or Roll Back?ВидеоDemo: Reading Prometheus Dashboards During a CanaryВидеоHOL: Respond to a Canary Release IncidentЗаданиеCongratulations and Continuous LearningВидеоFinal Assessment: Integrating and Optimizing AI Services in ProductionЗадание