Kubercours

online training

Kubernetes:
Full Immersion

Learn to manage containers, create and configure clusters, and effectively deploy applications in the cloud.

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78 Lecture materials

24/7 Access to the course convenient time

Certificate of completion

4,8/5 Course rating on Sravni

Why do we need
cybernetics?

Cybernetics today plays an important role in modern technology, covering areas such as automation, data analysis and artificial intelligence. It helps create smart systems that can adapt and solve problems efficiently in different fields, such as robotics and manufacturing.

Who is this course for?

Engineering
students

If you are studying IT, engineering or a related field, this course will help you develop the knowledge and skills you need to work with modern technologies and systems.

IT and Development Specialists

If you already work in IT and want to expand your competencies, studying cybernetics will allow you to learn new approaches to automation and data analysis, increasing your value in the job market.

Engineers and researchers in related fields

If you work in fields such as robotics, bioinformatics or process control, a course in cybernetics will give you the tools to develop more efficient and adaptive systems, which will help you in your professional career.

What's in store for you on the course

Theory

You will be introduced to the basic components of Kubernetes such as nodes, pods, containers, deployments, and services.

Hands-on

You will create and learn how to manage a Kubernetes cluster, work with pods and deployments, scale applications and configure services, and run a Kubernetes dashboard for easier monitoring and management.

Skills

You will learn how to create custom Docker images, deploy and update applications in deployments, as well as change the container runtime environment from Docker to containerd and re-deploy previously created applications.

Course Program

1 Introduction to Kubernetes

Join a community of like-minded people
What is Kubernetes
The component parts of a Kubernetes cluster
Managing a cluster with kubectl

2Installing and configuring programs

Programs for the course
Windows - Which terminal to use
Installing kubectl
Installing Minikube
Installing Docker Desktop

3 Minikube for creating
a Kubernetes cluster

Creating a K8S cluster with Minikube
Checking Minikube cluster status
Setting up an alias for the kubectl command
Exploring the Minikube cluster
Running Pods and Containers
Docker version comparison

4Creation of pods

Creating one pod in a cluster
Pod details
Checking availability of nginx web server in container
Connecting inside the container
Why sub and container are inaccessible from outside the cluster
Deleting and recreating a pod

5Deployment creation

Creating a deployment
Changing the number of pods in a deployment
Pod IP addresses and their availability
Results for scaling nginx deployment

6Creation of services

The purpose of creating services
System service research
Creating a ClusterIP Service for Deployment
Creating a NodePort service
Creating a service of LoadBalancer type
Summarizing the results of the first nginx deployment

7Creating a web application

Installation of necessary programs
Creating and running a web server using Node.js
Creating a Dockerfile and image for a Node.js application
Uploading the created image to Docker Hub
Creating a deployment for a Node.js application
Creating and verifying a service for a Node.js application

8Application Update

Updating a Node.js application and creating an image with a new tag
Updating the application version in the deployment
Analyzing the deployment after updating the image version and changing the number of replicas
Summary of the application update
Deleting the service and deployment

9YAML files for deployments
and services

Creating a YAML file for deployment
Using a YAML file for deployment
How to work with K8S documentation
Changing the number of replicas in a YAML file
Creating and applying a YAML file for a service
Graphical web interface
Deleting a deployment and service created with YAML files

10Creating two deployments

Plan to create two deployments
Modifying the Express application and creating a new image
Creating YAML files for the two deployments and services
Applying YAML files for two deployments and services
Using internal DNS to access services
Changing the number of replicas in the deployments
Summarizing the use of YAML files
Adding another tag for the image
CHALLENGE - Creating another version of the application
SOLUTION - Creating another version of the application
Summarizing the project with two deployments and services

11Other virtual machine managers
for Minikube

Stopping and deleting Minikube cluster
Windows - Using another virtual machine manager for Minikube
MacOS - Using another virtual machine manager for Minikube
Linux - Using a different virtual machine manager for Minikube
Testing a minikube cluster with containerd container manager
Creating deployments in a cluster with containerd
Analyzing containerd containers
Deleting deployments and minikube cluster

12Creating a real cluster
for Kubernetes

Creating a K8S cluster on Digitalocean
Connecting to a remote cluster
Creating Deployments in a Real Cluster
Re-creating a Docker image on a different architecture
Re-creating an exploit after fixing the architecture of the Docker image
External IP address for LoadBalancer service and verification of exploits
Results of using a real cluster
Rebuilding other versions of images

13Installing and configuring programs

Creating a real cluster for Kubernetes
Creating a K8S cluster on Digitalocean
Connecting to a remote cluster
Creating deployments in a real cluster
Re-creating a Docker image on a different architecture
Re-creating an exploit after fixing the architecture of the Docker image
External IP address for LoadBalancer service and verification of exploits
Results of using a real cluster
Rebuilding other versions of images

14Conclusion

Completion

Upon completion
of the course

You will have gained significant hands-on experience with Kubernetes and will be able to deploy any application in a production environment using this platform.

Choose the right tariff

Elementary

Introductory module
Indefinite access
Without certificate

FREE

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Basic

All modules
Practical tasks
Feedback
Chat with curators
Access - 1 month
Without certificate

$15

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Normal

All modules
Practical tasks
Feedback
Chat with curators
Access - 3 month
Bonus
Сertificate

$25

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Advanced

All modules
Practical tasks
Feedback
Chat with curators
Access - 9 month
Bonus
Сertificate

$40

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VIP

All modules
Practical tasks
Feedback
Chat with curators
Access - 12 month
Bonus
Сertificate

$65

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Certificate

After completing the course, you will receive a certificate confirming your advanced training. This will be an additional argument for your employer when you get a job.

Authors and experts of the course

Aziza Makhmutova

Data Scientist, Google

Zaur Tyrnov

DevOps Engineer, Microsoft

Anna Kovalenko

Frontend Developer, Facebook

Igor Vasiliev

Cloud Architect, IBM

Testimonials from our students

Dmitry

The course on cybernetics turned out to be very deep and informative. Special attention was paid to practical assignments, where we created simple control models, which allowed us to see how concepts work in practice. The experts shared case studies and regularly gave us the opportunity to ask questions.

Saveliy

I have taken many courses, but this one was one of the best. The material is presented in an accessible form and emphasized on real tasks. The speakers have deep knowledge and experience, which made the training even more valuable.

Martin

I liked the structure of the material on the course. Each module was accompanied by practical tasks, which helped me to better digest the material. Speakers with relevant knowledge shared their experience and feedback was very useful for personal development.

Anna

The cybernetics course was a real eye-opener for me. I worked on projects that involved building and simulating cybernetic systems, which gave me confidence in the practical application of knowledge. The lecturers shared valuable examples, which made learning particularly engaging.

We'll refund your
money if the course
doesn't work for you

If you decide within 5 days that the course is not right for you, we will refund the full cost of the course. If you decide later, we will refund the amount less the cost of lessons completed.

FAQ

Is the course suitable
for beginners?

You need basic knowledge of Docker to take the course.

What kind of computer is
suitable for writing code?

An ordinary laptop or computer is suitable for learning. The main thing is a stable Internet connection to watch lessons and do assignments.

Will I be able to combine the online
course with my work? How many
hours do I need to take the course?

Yes, you will be able to take the online course and work, because you can decide when it is convenient for you to watch the materials. On average, our students need from 5 to 10 hours per week to study.

What kind of projects will I be
able to do after the course?

After a course in cybernetics, you will be able to pursue projects related to the development of automated control systems, modeling dynamic processes, data analysis, creating intelligent solutions, and robotics.