Kubernetes in 1 hour - Full Course 2022 faq

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This comprehensive course provides an introduction to Kubernetes, including concepts and hands-on experience. In just one hour, you'll be ready to start using Kubernetes in 2022.

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Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

No Information

languageLanguage:

English

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [April 29th, 2023]

This course provides an overview of Kubernetes and how it works. It covers the architecture of Kubernetes, as well as key concepts such as services, namespaces, scheduling, networking, storage, APIs, RBAC, and Kubectl. Participants will also have the opportunity to apply a deployment on a local K8S cluster in a lab setting. By the end of the course, participants will have a better understanding of Kubernetes and how to use it.

[Applications]
After completing this course, participants will be able to apply their knowledge of Kubernetes to create and manage their own Kubernetes clusters. They will be able to use the Kubernetes APIs to deploy applications, manage resources, and configure networking and storage. They will also be able to use the kubectl command line tool to manage their clusters. Finally, they will be able to use the Role-Based Access Control (RBAC) feature to secure their clusters.

[Career Paths]
1. Kubernetes Engineer: Kubernetes Engineers are responsible for designing, deploying, and managing Kubernetes clusters. They must have a deep understanding of the Kubernetes architecture and be able to troubleshoot any issues that arise. As Kubernetes becomes more popular, the demand for Kubernetes Engineers is increasing, and the role is becoming more specialized.

2. Cloud Architect: Cloud Architects are responsible for designing and implementing cloud-based solutions. They must have a deep understanding of cloud technologies, such as Kubernetes, and be able to design and deploy solutions that are secure, scalable, and cost-effective. As cloud computing continues to grow, the demand for Cloud Architects is increasing.

3. DevOps Engineer: DevOps Engineers are responsible for automating the deployment and management of applications. They must have a deep understanding of DevOps tools, such as Kubernetes, and be able to design and implement solutions that are secure, scalable, and cost-effective. As DevOps continues to grow, the demand for DevOps Engineers is increasing.

4. Data Scientist: Data Scientists are responsible for analyzing and interpreting data. They must have a deep understanding of data science tools, such as Kubernetes, and be able to design and implement solutions that are secure, scalable, and cost-effective. As data science continues to grow, the demand for Data Scientists is increasing.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, such as programming, software engineering, and computer architecture. It also covers topics related to Kubernetes, such as distributed systems, cloud computing, and containerization. This degree path is becoming increasingly popular as the demand for Kubernetes professionals grows.

2. Master of Science in Cloud Computing: This degree path focuses on the development and deployment of cloud-based applications and services. It covers topics such as cloud architecture, distributed systems, and containerization. It also provides students with an in-depth understanding of Kubernetes, including its architecture, concepts, and APIs.

3. Master of Science in Data Science: This degree path focuses on the analysis and interpretation of large datasets. It covers topics such as machine learning, data mining, and data visualization. It also provides students with an understanding of Kubernetes, including its architecture, concepts, and APIs. This degree path is becoming increasingly popular as the demand for data scientists with Kubernetes expertise grows.

4. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems. It covers topics such as machine learning, natural language processing, and computer vision. It also provides students with an understanding of Kubernetes, including its architecture, concepts, and APIs. This degree path is becoming increasingly popular as the demand for AI professionals with Kubernetes expertise grows.

Course Syllabus

What is K8S

Architecture of K8S

Kubernetes Objects

Manifests (yaml)

Services

Namespaces

Scheduling

Networking

Storage

APIs

Authentication & Authorization

Kubectl

Pros & Cons

Pros Cons
  • pros

    Knowledgeable, Enlightening, Good Explanation, Comprehensive, Very Useful.

  • cons

    None.

Course Provider

Provider Udemy's Stats at AZClass

Discussion and Reviews

0.0   (Based on 0 reviews)

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faq FAQ for Kubernetes Courses

Q1: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q2: How many people have enrolled in this course?

So far, a total of 1300 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q3: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
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If you're looking for additional Kubernetes courses and certifications, our extensive collection at azclass.net will help you.

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