DataHour: Introduction to MLOps

Online 30-06-2022 07:00 PM to 30-06-2022 08:00 PM
  • 5420


  • Knowledge and Learning


DataHour Recording

About the DataHour:

Want to know the future of Data Science? Wondering why 80% of Data Science models don't make it to production (according to Gartner)? 

This DataHour will help introduce you to the hottest topic in the industry. Whether you are a Data Science enthusiast or a working professional, it is essential to know the future of Data Science. Register already, it's time to spend 60 minutes on upskilling yourself and prepare for the future again!

Learn more on MLOps, where you will have more understanding of the following topics:

- The current and future state of ML

- Technical Debt in Machine Learning Systems

- The new real-world machine learning

- Understanding of MLOps

- Tools & Technologies required for MLOps

- Future of MLOps

Prerequisites: Enthusiasm for learning Data Science and its future.

Who is this DataHour for?

  • Students & Freshers who want to build a career in Data Science
  • Data science professionals who want to accelerate their career growth 


Anish Mahapatra

Lead Data Scientist at Mu Sigma

A Lead Data Science consultant for multiple Fortune 500 clients, Anish has been in the Data Science world for a long time and has helped over 2000+ people enter Data Science. A good way to know more about him is to Google him

MSc in Data Science and a technical writer for the top Data Science publications, he is always happy to help, feel free to email him at [email protected] anytime. 

You can follow him on Linkedin and Instagram. Know more about him through his website.


Please register/login to participate in the contest

Please register to participate in the contest

Please register to participate in the contest



We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.


We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.