TechnologyBeginner

MLOps: Principles, Architecture, and End-to-End Workflows

Name: MLOps: Principles, Architecture, and End-to-End Workflows
Price: 99 INR
Availability: InStock

Learn the foundational principles and architecture of MLOps, from supervised machine learning paradigms to end-to-end workflows. Explore functional components, roles, and evaluated technologies that support model and code flow. Gain practical insight into how services, tools, and frameworks are identified and reviewed for operational ML systems.

What You'll Learn

Explain core MLOps principles and their role in machine learning operations

Describe supervised ML paradigms and the importance of labeled data

Diagram an end-to-end MLOps architecture with functional components and roles

Identify and evaluate tools, frameworks, and services for MLOps workflows

Trace model and code flow across an MLOps pipeline

Reference key literature and standards in MLOps research and practice

About this course

MLOps: Principles, Architecture, and End-to-End Workflows is a self-paced beginner-level technology online course on GreyAcademy, taught by Anurag Trivedi. It has 1 module and 1 chapter, and it takes about 10 hours to complete. Enrol once and learn at your own pace. You get a completion certificate when you finish all the lessons.

Topics covered: Overview, Definition, and Architecture.

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