What will you learn in Architecting with Google Kubernetes Engine: Workloads Course
Master creating and managing Kubernetes Deployments, Jobs, and CronJobs on GKE.
Understand pod networking, Services, Ingress, and container-native load balancing.
Configure GKE persistent storage using Volumes, StatefulSets, ConfigMaps, and Secrets.
Program Overview
Module 1: Course Introduction
⏳ ~1 minute
Overview of course goals, structure, and its place in the specialization.
Module 2: Workloads – Deployments and Jobs
⏳ ~1 hour
Topics: Define/update Deployments; use Jobs, CronJobs; scaling; pod placement, taints/tolerations.
Hands-on: 11 videos, 1 quiz (~14 min), and a lab to create GKE Deployments (~60 min).
Module 3: GKE Networking
⏳ ~1 hour
Topics: Pod networking, Services (ClusterIP, LoadBalancer), Ingress, container-native LB, Network Policies.
Hands-on: 7 videos, 1 quiz, and a lab configuring GKE networking (~60 min).
Module 4: Persistent Data and Storage
⏳ ~1 hour
Topics: Volumes, ephemeral/durable storage, StatefulSets, ConfigMaps, Secrets.
Hands-on: 7 videos, 1 quiz, and a lab for persistent storage (~60 min).
Module 5: Course Summary
⏳ ~10 minutes
High-level review of all components and key takeaways.
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Job Outlook
Prepares learners for roles like Kubernetes Engineer, Cloud Developer, or DevOps Engineer working with containerized GKE workloads.
Ideal for professionals targeting the Google Cloud Professional Cloud Developer or Kubernetes-centric certifications.
Specification: Architecting with Google Kubernetes Engine: Workloads
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