05-19, 14:00–14:25 (Europe/Vilnius), Saphire B - PyData
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.
MLOps tools today are dime a dozen, but do you really need everything to build your machine learning pipelines? In this talk, I will introduce you to the general concept of MLOps 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. 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.
Though the structure is tentative, I intend to follow the following order:
1. Introduction to MLOps
2. MLOps Lifecycle
3. Introduction to ZenML concepts
4. ZenML Architecture
5. ZenML pipeline creation
6. Switching stacks to deploy a machine learning pipeline to production
7. Question and Answers
Beginner
What topics define your talk the best? –python, PyData, design and architecture, data science, machine learning, ML engineering, open source
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.