Description

Operationalizing AI/ML Applications

Discover how to build applications of the future securely. In this hands-on, virtual live training, you'll learn about deploying, training, and serving machine learning models using an open source container platform that provides increases capability for scalability, security, automation, networking and CI/CD. Using the real-world use case of the "FlyingThings" project, and following up with a dedicated live office hours session, you'll solidify your skills and understanding necessary to modernize existing apps, create new ones, and transform the deployments of upgrades and updates.

Instructors Bio

David White

Associate Principal Specialist Solution Architect | Red Hat

David has 20 years experience in the IT industry in a variety of roles and platforms. Having led many design/development efforts, he believes in a holistic view and approach to designing and implementing total solutions. His approach is very “hands-on'' with regard to evaluating and prototyping solutions whether it’s coding up Java applications to test API integration, developing automation scripts for “hands off” deployments, or building an entire pipeline in Amazon AWS to illustrate advanced DevOps concepts and “infrastructure as code” techniques. He is an expert in Linux, MS Windows, Mac OSX, Unix, and Virtualization platforms.

Live Training Starts in

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