Introduction to the Model Lifecycle in MLOps
Learn the essential components of MLOps and how to effectively manage machine learning models throughout their entire lifecycle.
About This Webinar
In this comprehensive webinar, you'll discover the essential components of MLOps and how to effectively manage machine learning models throughout their entire lifecycle. From development to deployment and monitoring, learn the industry best practices that ensure scalable and reliable ML systems.
Our expert instructor brings years of hands-on experience in implementing MLOps solutions for enterprise-scale applications. You'll gain practical insights into model versioning, automated testing, continuous integration, and production monitoring.
What You'll Learn
About the Instructor
Rushikesh Meharwade
Founder, Vidvatta
Rushikesh is a seasoned ML engineer and entrepreneur with over 8 years of experience in building and scaling machine learning systems. He has helped numerous organizations implement robust MLOps practices and has trained over 10,000 professionals worldwide.