Workshop Sessions: Hands on Workshop - How to Build Pipelines with Kubeflow

Speaker Bio:
Mohamed Sabri, Senior Consultant in MLOps at Rocket Science
Mohamed Sabri is a results-driven Machine learning Engineer and MLOps specialist with 8 years of experience in Machine learning and data field. This Trilingual consultant has a very wide range of project experience for various industries. Mohamed Sabri has been as well a director of data science and AI in a startup in Montréal, with his experience on the field and as a manager Mohamed is capable of supporting all organization in their AI project implementation. Mohamed is also the author of the book “Data Scientist Pocket Guide” and instructor and mentor at the University of Austin Texas.
Abstract:
The workshop is a hands-on session where we will discover Kubeflow pipelines. We will learn how to create an environment with Kubeflow on Kubernetes then get familiar with the environment. After that we will create our pipelines and upload them in Kubeflow. We will create couple of pipelines and run schedules for retraining.
Session length: 4 to 5 hours.
Requirements :
Have a personal AWS account with credit card processed
Background :
Knowledge in Docker/Kubernetes/Virtualization
Experience with Python

[@dattran6096]

Great, Could you share the resources used for this video? Many thanks

[@kanakorn]

Nice, but it should be better to split into chapters, first 1 hours was setting up on AWS. Thank you.