MLOps is a collaborative practice to operationalize data science solutions. If you are familiar with DevOps practices, then MLOps can be simply put as DevOps for Machine Learning. It enables data scientists and platform IT teams to work together to release and activate an AI solution via model management, monitoring, and governance framework.

In this session, you will get a chance to learn:

• Data science development cycle
• MLOps process flow and key stages
• Skills required to support production process

Why attend this session?

As per Gartner, only 47% of ML models are fully deployed, while the rest of the models fell short of production due to lack of platform, skills, or even business visibility. This session will focus on elements required to drive productivity and efficiency with machine learning operations.

Recordings of the past webinars are available on YouTube

https://www.youtube.com/playlist?list=PLM06uCiI9yR4ZET7i9DBTjoF8SwxzIlR5