Explore how to incorporate data science and AI/ML into Kubernetes development workflows in this 55-minute webinar. Learn strategies to accelerate and automate ML workloads using Kubernetes' openness and rich ecosystem. Discover well-known open-source tools like Jupyter Notebooks and TensorFlow for data science applications. Follow along with a live demo of OpenShift Data Science and gain insights into MLOps, OpenDataHub, and the daily challenges faced by data scientists. Access provided resources to further your understanding of AI and ML workflows with Kubernetes.
Overview
Syllabus
Introduction
AI/ML people
A day in the life of a data scientist
Kubernetes
MLOps: DevOps to ML
OpenDataHub
OpenShift Data Science
Demo
Resources
Taught by
Data Science Dojo
