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Faculty Development Program on “Machine Learning Engineering for Production.”

Scheduled from January 8-13, 2024, this comprehensive program is meticulously designed to offer educators, researchers, and industry professionals a profound understanding of implementing machine learning solutions in production settings within an MLOps framework.

Course Contents will include:

Introduction to MLOps
Essential data science and math for MLOps
Python Essentials for MLOps
DevOps and DataOps
Deployment fundamentals – containers
Container orchestration basics – Kubernetes
MLFlow and KubeFlow
MLFlow and MLOps in Cloud
SE principles and security for MLOps

The diverse curriculum will provide a rich understanding of the principles and applications necessary for implementing machine learning operations in real-world scenarios.


We believe your participation and insights will immensely contribute to the success of this program. Your expertise and engagement will undoubtedly enhance the collective learning experience.

For additional details regarding the schedule, registration, and course structure, please refer to the brochure Should you have any further inquiries, please don’t hesitate to reach out.

Your valuable presence at this program would be greatly appreciated. We look forward to your participation and the exchange of insightful ideas during the Faculty Development Program