MLOps from Edge to On-Demand Visualization
Offered By: DevConf via YouTube
Course Description
Overview
Explore a comprehensive conference talk on building flexible and scalable architecture for Red Hat OpenShift users focusing on data analytics and customer success. Gain valuable insights into the AI workflow phases, covering the entire data engineering and operations process. Learn about collecting data at the edge on-demand, storing it in cloud data warehouses, and creating visualizations using accelerated hardware and Red Hat Workstation on-demand instances. Discover how to optimize your MLOps pipeline from edge to visualization, enhancing your ability to leverage data effectively in a Red Hat OpenShift environment.
Syllabus
MLOps from the edge to on demand visualization - DevConf.CZ 2023
Taught by
DevConf
Related Courses
Fog Networks and the Internet of ThingsPrinceton University via Coursera AWS IoT: Developing and Deploying an Internet of Things
Amazon Web Services via edX Business Considerations for 5G with Edge, IoT, and AI
Linux Foundation via edX 5G Strategy for Business Leaders
Linux Foundation via edX Intel® Edge AI Fundamentals with OpenVINO™
Intel via Udacity