Nano Science & Technology Consortium

Empowering Innovation Across Disciplines

A Deep Science Learning Organisation

Rated Excellent

250+ Courses

30,000+ Learners

95+ Countries

This program focuses on the practical implementation and management of Machine Learning Operations (MLOps) to ensure effective and scalable AI deployment. Participants will explore the end-to-end lifecycle of machine learning models, including development, testing, deployment, monitoring, and continuous improvement. The program covers topics such as infrastructure setup, model versioning, deployment strategies, CI/CD pipelines, model monitoring, and governance. Hands-on sessions will guide participants through real-world scenarios, utilizing tools like Kubernetes, Docker, TensorFlow Serving, and cloud platforms, ensuring a comprehensive understanding of how to successfully deploy and maintain AI models in production environments.

Mentors

Mentor

Dr. Ajay Kumar

Professor and Director

Mangalayatan University, Aligarh

24
Workshops
****
4.9
Full Biography

Mentor, Reviewer

Dr. Galiveeti Poornima

Assistant Professor

Presidency University, Bengaluru

24
Workshops
****
4.9
Full Biography

Mentor

DR. SAROJ KUMAR SAHU

Emeritus Scientist

AIIMS

24
Workshops
****
4.9
Full Biography

Mentor

roopaSC

Analyst

NA

Regulatory Compliance with Generative AI
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-AI-Based Optimization of Polymer Composite Recycling Processes
-AI & ML in Space Biotechnology: Searching for Life Beyond Earth
01/15/2026-01/17/2026App Development in Biology

24
Workshops
****
4.9
Full Biography

Mentor

Dr. Bani Gandhi

Project Manager

ConnexCS

24
Workshops
****
4.9
Full Biography

Mentor

Dr. Ali Hussein Wheeb

AI/ML Trainer

Universiti Kebangsaan Malaysia

24
Workshops
****
4.9
Full Biography

Advisor

Dr. G. Anandhi

Associate Professor

University of the People

24
Workshops
****
4.9
Full Biography