How to Master MLOps for ML Engineers and Data Scientists

The ultimate introduction to MLOps, tech tools you need to know for MLOps implementation, case studies, as well as how to adopt MLOps in organizations.

Schedule:

1. Introduction

2. Introduction to MLOps - Lukasz Murawski

• How to switch to MLOps.
• Tools for effective MLOps implementation.

3. Case Study - Yudhiesh Ravindranath

• Adopting MLOps in an Organization.
• CI/CD Pipeline for MLOps.
• Best Practises.
• Continuous Training – Continuous Training(CT) is the process of automatically retraining and serving machine learning models in production, this talk will cover how to create a CT pipeline.

4. Q&A

• Questions from the audience.