PluralSight – AIOps: Model Serving Architecture 2026
English | Tutorial | Size: 70.99 MB
ML models form a key component of production AIOps architectures. This course will teach you best practices for deploying AIOps ML models for high performance in production.
What you’ll learn
AIOps deployments are uniquely challenging due to high compute requirements and sophisticated architecture. In this course, AIOps: Model Serving Architecture, you’ll learn to build, containerize and efficiently serve AIOps ML models. First, you’ll explore ML model serving, learning its use cases and unique challenges. Next, you’ll discover and compare real-time and batch inferences, and their use in conjunction with streaming. Finally, you’ll learn how to containerize an AIOps ML Model and deploy it for production. When you’re finished with this course, you’ll have the skills and knowledge of AIOps serving needed to containerize and deploy real-world AIOps models to the cloud or on-premises hardware.
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