Serve multiple TensorFlow models simultaneously and monitor them with Prometheus and Swagger.

Use Istio with Minikube and TensorFlow Serving to create canary deployments of TensorFlow machine learning models!

Serve tensorflow model efficiently with customized model signatures

Stream predictions in and out of Seldon Core model deployments using Kafka.

Compose multi-step inference graphs (transformers, combiners, routers) with Seldon Core.

Automate model deployment workflows on top of Seldon Core.

Deploy a first machine learning model on Kubernetes using Seldon Core, including authentication basics.

Create custom and reusable components for Kubeflow Pipelines.

Train TensorFlow models across multiple workers using distributed training strategies.

Set up horizontal pod autoscaling for a TensorFlow Serving deployment on Kubernetes.