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Updated in [February 21st, 2023]

This Kubernetes Course is designed to provide a comprehensive introduction to Kubernetes for beginners. It covers topics such as what is Kubernetes, what is a Pod, Kubernetes Cluster and Nodes, Kubernetes Services, kubectl, software required for this course, installing kubectl, installing Minikube, creating Kubernetes cluster using Minikube, exploring the Kubernetes node, creating a single Pod, exploring Kubernetes Pod, creating alias for the kubectl command, creating and exploring Deployment, connecting to one of the Pods using its IP address, creating and exploring ClusterIP Service, connecting to the Deployment using ClusterIP Service, deleting Deployment and Service, creating Node web application, dockerizing Node application, pushing custom image to the Docker Hub, creating deployment based on the custom Docker image, scaling custom image deployment, creating NodePort Service, creating LoadBalancer Service, rolling update of the deployment, what happens when one of the pods is deleted, Kubernetes Dashboard, creating YAML deployment specification file, how to use Kubernetes documentation, applying YAML deployment file, creating YAML service specification file, plan for the creation of the two deployments, creating another web app with two endpoints, building custom Docker image for the second web app, creating YAML specification for the second web app, creating YAML specification for the NGINX app, applying specifications for both apps, verifying connectivity between different deployments, resolving Service name to IP address, deleting both applications, changing Container Runtime from Docker to CRI-O, deploying apps using CRI-O container runtime, and verifying connectivity between deployments.
By taking this course, learners will gain a comprehensive understanding of Kubernetes and its related concepts. This knowledge can be applied to a variety of career paths, such as DevOps, Cloud Computing, and Software Engineering. Learners can also use this knowledge to pursue further education in related fields, such as Cloud Computing, Containerization, and System Administration.
To get the most out of this course, learners should have a basic understanding of Linux, Docker, and the command line. Additionally, learners should have some experience with web development and web applications. It is also recommended that learners have some experience with cloud computing and containerization. To supplement this course, learners can also explore related topics such as Kubernetes Security, Kubernetes Networking, and Kubernetes Storage.

[Applications]
After completing the Kubernetes Course - Full Beginners Tutorial (Containerize Your Apps!), participants should be able to apply the knowledge they have gained to containerize their own applications. They should be able to create and manage Kubernetes clusters, pods, services, and deployments. They should also be able to create and manage custom Docker images, and use YAML files to deploy applications. Additionally, they should be able to use the Kubernetes Dashboard to monitor and manage their applications, and be able to switch between different container runtimes.

[Career Paths]
1. Kubernetes Administrator: Kubernetes Administrators are responsible for managing and maintaining Kubernetes clusters. They are responsible for deploying, configuring, and managing Kubernetes clusters and ensuring that they are running optimally. As Kubernetes is becoming increasingly popular, the demand for Kubernetes Administrators is growing rapidly.

2. Kubernetes Developer: Kubernetes Developers are responsible for developing applications that run on Kubernetes clusters. They are responsible for designing, developing, and deploying applications on Kubernetes clusters. As Kubernetes is becoming increasingly popular, the demand for Kubernetes Developers is also growing rapidly.

3. Cloud Engineer: Cloud Engineers are responsible for managing and maintaining cloud-based infrastructure. They are responsible for deploying, configuring, and managing cloud-based infrastructure and ensuring that it is running optimally. As cloud computing is becoming increasingly popular, the demand for Cloud Engineers is also growing rapidly.

4. DevOps Engineer: DevOps Engineers are responsible for managing and maintaining the software development lifecycle. They are responsible for automating the software development process and ensuring that it is running optimally. As DevOps is becoming increasingly popular, the demand for DevOps Engineers is also growing rapidly.