End-to-end MLOps CI/CD pipeline with Harness and AWS

MLOps tackles the complexities of building, testing, deploying, and monitoring machine learning models in real-world environments.

Integrating machine learning into the traditional software development lifecycle poses unique challenges due to the intricacies of data, model versioning, scalability, and ongoing monitoring.

In this tutorial, you'll create an end-to-end MLOps CI/CD pipeline that will:

• Build and push an ML model to AWS ECR.


• Run security scans and tests.


• Deploy the model to AWS Lambda.


• Add policy enforcement and monitoring for the model. …

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