Workshop on MLOps-Machine Learning Operations

#MLOps

The workshop will provide hands-on understanding of the following key areas:

1. Introduction to MLOps – Understanding the concepts, principles, and importance of MLOps in the machine learning lifecycle.
2. Data and Code Versioning – Learning how to manage and track changes in datasets, code, and machine learning projects.
3. Pipeline Development and Automation – Understanding the development and automation of workflows for efficient ML model development and deployment.
4. CI/CD for Machine Learning – Exploring Continuous Integration and Continuous Deployment practices for automating the ML development and deployment process.
5. Model Development as an AI Interface – Understanding how machine learning models can be developed and integrated as interfaces for AI-based applications.
6. Monitoring Data Drift – Learning to identify and monitor changes in data distribution that may affect model performance in real-world applications.

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• Bangalore, Karnataka
• India

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• Prof. Vandana G P

  Dr.DurghaDevi P

• Starts 07 October 2026 06:30 PM UTC
• Ends 11 October 2026 06:30 PM UTC
• No Admission Charge

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The Department of Computer Science and Applications and MSc Data Science proposes to organize a workshop on MLOps-Machine Learning Operations for the students of III BCA-AI ML and I and II year MSc on 12-10-2026 to provide them with practical exposure to the deployment,monitoring automation and management of Machine learning models in real world environments.

The proposed workshop will cover topic:

1. Introduction to MLOps
2. Data and code versioning
3. Pipeline Development and Automation
4. CI/CD for ML
5. Model Development as an AI interface
6. Monitoring Data Drift