Azure AI relies on public API endpoints for all different AI services (compute vision, face recognition, text analysis,...). But sometimes, you might have a need to run the object analysis from an offline location, or you want to keep data confidential, or you want interaction from within a Kubernetes-alike container architecture.
That's where the Microsoft Azure AI prebuilt Docker container images come to the rescue.

Learn in this session from Peter De Tender, Microsoft Technical Trainer from Redmond, WA, what Azure AI container images are available, how to run them, as well as how to interact with the REST APIs from a Swagger interface. As common for Peter's presentations, this will be mainly live demos, with the absolute minimum of slides.