MLOps Maturity Frameworks and Azure Pipeline Demonstrations
Strengths
Comprehensive Lifecycle Overview
The curriculum spans the full MLOps spectrum, including maturity levels and orchestrated workflows involving training, evaluation, and registry.

Learn MLOps basics of Continuous Integration, Delivery using Azure DevOps and Azure ML. Create MLOps pipeline in Azure.
InstructorJ Garg - Real Time Learning






CouponThe curriculum spans the full MLOps spectrum, including maturity levels and orchestrated workflows involving training, evaluation, and registry.
Editorial course preview
This view highlights a concrete, legible example from the course presentation.
This slide presents a comprehensive overview of MLOps fundamentals through various diagrams covering CI/CD pipelines, the machine learning lifecycle, and model productionization.
The course demonstrates a complete CI/CD pipeline using Azure DevOps and Azure ML, covering essential stages like training and scoring.
Instructional signals suggest a lack of step-by-step guidance for practical implementation, favoring ready-made code parts over granular development.
One signal indicates that the AzureML Python SDK v1 code used in the demonstration may be outdated.