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.
Explore More Learning Paths
Take your Kubernetes workload expertise even further by exploring programs that strengthen your Google Cloud foundations, expand your container orchestration skills, and offer multilingual pathways for deeper mastery.
Related Courses
1. Architecting with Google Compute Engine en Español Specialization Course
A complete Spanish-language path covering Google Cloud fundamentals, including storage, VPCs, IAM, and compute architecture.
2. Architecting with Google Kubernetes Engine en Español Specialization Course
Learn Kubernetes concepts in Spanish with a focus on cluster management, scaling, and cloud-native architecture.
3. Architecting with Google Compute Engine Specialization Course
Strengthen your foundation in Google Cloud infrastructure through hands-on training with networking, compute instances, and architectural best practices.
Related Reading
What Is Operations Management?
A valuable overview of how organizations optimize processes and systems—knowledge that aligns closely with managing efficient, scalable cloud and Kubernetes operations.
Specification: Architecting with Google Kubernetes Engine: Workloads Course
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FAQs
- Basic understanding of Kubernetes and containers is recommended.
- The course assumes familiarity with pods and deployments.
- Hands-on labs help reinforce practical skills.
- Beginners may need supplementary learning before starting.
- Focuses on workload deployment, networking, and storage on GKE.
- Covers Deployments, Jobs, and CronJobs on GKE.
- Teaches pod networking, Services, Ingress, and load balancing.
- Includes persistent storage using Volumes, StatefulSets, ConfigMaps, and Secrets.
- Labs simulate real-world scenarios for hands-on experience.
- Prepares learners for cloud-native application management.
- Helps understand GKE architecture and cloud-native deployment.
- Explains networking, storage, and scaling in conceptual terms.
- Supports decision-making for cloud projects.
- Improves communication with technical teams.
- Offers insights into Google Cloud workloads without deep coding.
- Builds foundational skills for roles like Kubernetes Engineer or Cloud Developer.
- Aligns with topics covered in Google Professional Cloud Developer and Kubernetes certifications.
- Focuses on workloads, networking, and storage in GKE.
- Not a complete certification prep but a strong stepping stone.
- Hands-on labs provide practical experience for exam readiness.
- Focuses on containerized workloads and orchestration on GKE.
- Emphasizes pod placement, scaling, networking, and persistent storage.
- Covers GKE-specific best practices for workload management.
- Hands-on labs target cloud-native engineering skills.
- Bridges knowledge for DevOps roles with Kubernetes specialization.
