Cloud-native MLOps pipeline overview
| Abstract |
This M.Tech project topic focuses on Cloud-Native MLOps Pipeline for Continuous Model Training and Deployment. It belongs to the Cloud Computing area within Networks & Security. The topic can be used for project selection, synopsis preparation, literature review, implementation planning, and dissertation documentation. Students can begin with the listed reference paper, understand the core research direction, and then customize the work using a suitable dataset, tools, evaluation metrics, and academic requirements. |
| Reference Paper |
Towards MLOps: A Framework and Maturity Model |
| Domain |
Networks & Security |
| Sub-Domain |
Cloud Computing |
| PDF Download |
Download / View PDF |
| Get Help |
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Message: Hi FE, I need help with "Cloud-Native MLOps Pipeline for Continuous Model Training and Deployment" in "Networks & Security"
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This resource helps students quickly understand the project idea, reference paper direction, and next step for implementation, synopsis, report writing, or academic documentation support.
Related reading: How to Improve Machine Learning Model Accuracy: A Systematic MLOps Guide
