Getting Digital

Kubernetes on GCP (Mar 2025)

Develop essential systems & infrastructure skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of systems & infrastructure
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry Standards
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of systems & infrastructure
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in systems & infrastructure
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

Google Cloud Platform is a suite of Cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products. GCP provides a scalable range of computing options you can tailor to match your needs. It provides highly customizable virtual machines and the option to deploy your code directly or via containers.

It is a set of management tools that provides a series of modular cloud services including computing, data storage, Data Analytics and Machine Learning. In this course, you will learn the fundamentals of GCP Service, how to access the Google Cloud Platform, create Kubernetes Cluster on GCP and access it through Kubectl, understanding the Architecture of GCP and types of GCP services. Further creating Kubernetes cluster on GCP and accessing the Kubernetes cluster on GCP through kubectl, building the Kubernetes Container image in GKE cluster to deploy the application on GKE cluster.

Explore on Scaling, Implementing Scaling-Up and Scaling-down of Kubernetes Deployments in Cluster, further understanding of deploying Pods using ConfigMaps consisting of data and using secrets to encrypt the sensitive information in GKE cluster and further create and access the Namespaces in GKE cluster and create Multi-container Pods on Google Kubernetes Engine Cluster.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Technology & Programming

Topics Covered

Systems & InfrastructureKubernetes

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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