Deploy an Apache Beam Python pipeline to a Flink session cluster on minikube, packaged as a Docker image and submitted as a Kubernetes job.

Deploy a PyFlink application to minikube with the Flink Kubernetes Operator, alongside a Kafka cluster that provides its source and sink topics.

Ingest fake customer and order data into Kafka with the MSK Data Generator and save it to S3, with connectors deployed as Strimzi custom resources.

Send and read Kafka topic records from Python client applications built with the kafka-python package and deployed on Kubernetes.

Create a Kafka cluster on Kubernetes with Strimzi, the first step in a series on Python clients and Kafka Connect pipelines on Kubernetes.

Three online courses and two practice tests reviewed after passing the Certified Kubernetes Application Developer exam, with notes on each.