Fundamentals of Containers Kubernetes and Red Hat OpenShift
This course provides an overview of container and container orchestration technology, including Docker, Kubernetes, and Red Hat OpenShift Container Platform. Participants will learn how to containerize applications and services, test them using Docker, and deploy them using Kubernetes and Red Hat OpenShift. ▼
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Course Feature
Cost:
Free
Provider:
Edx
Certificate:
No Information
Language:
English
Start Date:
Self paced
Course Overview
❗The content presented here is sourced directly from Edx platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
[Course Overview]
This course provides an introduction to container and container orchestration technology using Docker, Kubernetes, and Red Hat OpenShift Container Platform. It covers the fundamentals of container technology, including container images, container registries, and container orchestration. You will learn how to containerize applications and services, test them using Docker, and deploy them on a Kubernetes cluster using Red Hat OpenShift. Additionally, you will build and deploy an application from source code using the Source-to-Image facility of Red Hat OpenShift.
[Why to Learn]
This course is designed to help developers, administrators, and architects understand the fundamentals of container technology and container orchestration. It will provide you with the skills and knowledge needed to containerize applications and services, test them using Docker, and deploy them on a Kubernetes cluster using Red Hat OpenShift. Additionally, you will learn how to build and deploy an application from source code using the Source-to-Image facility of Red Hat OpenShift.
[Development Paths]
This course is the first step in learning container and container orchestration technology. After completing this course, you can continue your learning journey by taking more advanced courses such as Red Hat OpenShift Administration I (DO280) and Red Hat OpenShift Administration II (DO380). These courses will provide you with the skills and knowledge needed to manage and maintain a Red Hat OpenShift cluster.
[Related Learning Suggestions]
In addition to the courses mentioned above, you can also consider taking courses such as Red Hat OpenShift Development I (DO288) and Red Hat OpenShift Development II (DO380). These courses will provide you with the skills and knowledge needed to develop applications on a Red Hat OpenShift cluster. Additionally, you can also consider taking courses such as Red Hat OpenShift Security (DO425) and Red Hat OpenShift Networking (DO425) to learn more about securing and networking applications on a Red Hat OpenShift cluster.
[Applications]
Upon completion of this course, participants can apply their knowledge to containerize applications and services, test them using Docker, and deploy them on a Kubernetes cluster using Red Hat OpenShift. Additionally, they can build and deploy an application from source code using the Source-to-Image facility of Red Hat OpenShift. Participants can also use their knowledge to create a clustered cloud architecture for their applications and services, and to consider using container technologies in software architectures.
[Career Paths]
1. Container Engineer: A Container Engineer is responsible for designing, developing, and deploying containerized applications and services. They must have a deep understanding of container technology, container orchestration, and DevOps principles and practices. Additionally, they must be able to troubleshoot and debug containerized applications and services. This role is becoming increasingly important as more organizations adopt container technology and container orchestration.
2. Kubernetes Administrator: A Kubernetes Administrator is responsible for managing and maintaining a Kubernetes cluster. They must have a deep understanding of Kubernetes and its components, as well as experience with container technology and container orchestration. This role is becoming increasingly important as more organizations adopt Kubernetes and container orchestration.
3. Red Hat OpenShift Developer: A Red Hat OpenShift Developer is responsible for developing applications and services for the Red Hat OpenShift Container Platform. They must have a deep understanding of Red Hat OpenShift, container technology, and container orchestration. This role is becoming increasingly important as more organizations adopt Red Hat OpenShift and container orchestration.
4. Cloud Architect: A Cloud Architect is responsible for designing and implementing cloud architectures. They must have a deep understanding of cloud computing, container technology, and container orchestration. This role is becoming increasingly important as more organizations adopt cloud computing and container orchestration.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and computer architecture. Additionally, students will learn about the latest trends in container technology and container orchestration, such as Docker, Kubernetes, and Red Hat OpenShift.
2. Master of Science in Cloud Computing: This degree path provides students with an in-depth understanding of cloud computing technologies, including container technology and container orchestration. Students will learn about the latest trends in cloud computing, such as serverless computing, microservices, and container orchestration. Additionally, students will gain hands-on experience with container technologies such as Docker, Kubernetes, and Red Hat OpenShift.
3. Bachelor of Science in Information Technology: This degree path provides students with a comprehensive understanding of information technology fundamentals, including networking, security, and software development. Additionally, students will learn about the latest trends in container technology and container orchestration, such as Docker, Kubernetes, and Red Hat OpenShift.
4. Master of Science in Artificial Intelligence: This degree path provides students with an in-depth understanding of artificial intelligence technologies, including machine learning, natural language processing, and computer vision. Additionally, students will learn about the latest trends in container technology and container orchestration, such as Docker, Kubernetes, and Red Hat OpenShift. This degree path is ideal for those interested in developing AI applications that are deployed on containerized platforms.
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Quiz
Submitted Sucessfully
1. What is the main benefit of using containers?
2. Which technology is used to containerize applications and services?
3. Who will benefit from this course?
4. What is Source-to-Image facility of Red Hat OpenShift?
Correct Answer: It is a facility to build and deploy an application from source code.
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