Pods: They are deployable units produced from a group of one or more similar containers sharing storage and networking resources. Docker containers are orchestrated(Deployed, Scaled and Monitored) within the pods in the node of the Kubernetes cluster. Service: It is the networking interface that makes it possible to interact with the containers running in the pods.

In this course you will learn how to deploy Machine Learning Models using various techniques. Python basics and Machine Learning model building with Scikit-learn will be covered in this course. You will also learn how to build and deploy a Neural Network using TensorFlow Keras and PyTorch. Google Cloud (GCP) free trial account is required to try out some of the labs designed for cloud environment.