Production ready Machine Learning pipelines using ZenML for MLOps management
Room: Saphire B - PyData
Time: 14:00 - 14:25
MLOps tools today are dime a dozen, but do you really need everything to build your machine learning pipelines? If you are just getting started you do not need an army of tools to set up your ML pipelines. In this talk, I will introduce you to the general concept of MLOps, why it is becoming more important these days and then focus on a super interesting MLOps framework in Python called ZenML. ZenML helps you structure your code and pipelines systematically right from the word go, ensuring that you are always building pipelines that can be easily deployed in production. ZenML has a lot of custom components that can be used in different ways. I will take you through the many concepts (steps, pipelines, stacks, integrations) used by ZenML and how you could use them to build your production ready Machine Learning pipelines.
Imaad Mohamed Khan
Imaad Mohamed Khan is a Data Scientist, ML Engineer and an Educator. He graduated with a Masters in Internet Technologies and Information Systems from TU Braunschweig, Germany. He earlier did his Bachelors in Electronics and Communication in India. He is currently a Machine Learning Engineer at Flix. Prior to that, he has worked at multiple big and small companies as a Data Scientist. He is also a Content Creator on LinkedIn and writes on topics related to Data Science, Machine Learning and Artificial Intelligence. He’s an Educator and a Speaker and has spoken at various workshops and conferences.