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Docker Learning Path


The Docker Learning Path is tailored to  individuals aiming to gain expertise in Docker containerization technology,  from foundational concepts to advanced certification preparation.

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Understand DevOps Fundamentals
DevOps Prerequisite course
6h 30m
Start Course
linux basics
virtual box networking
vagrant
networking basics
programming basics
database basics
Git
Apache web server
IPs and ports
SSL & TLS basics
YAML
Learn Containers
Docker for Absolute Beginners
4h 0m
Start Course
containers
images
volumes
container
orchestration
networking
Get into Advanced Learning
Docker – SWARM | SERVICES | STACKS
4h 45m
Start Course
docker service
advanced networking
docker stacks
CI/CD integration
docker on cloud
Get Certified
Docker Certified Associate Exam Course (DCA)
13h 30m
Start Course
docker engine - architecture
docker engine - images
docker engine - security
docker engine - networking
docker engine - storage
docker compose
docker swarm
Kubernetes
docker engine enterprise
ocker trusted registry
disaster recovery

How long will it take for me to complete?

I can spend
hours / day
2
4
6
≈ 4 Months
≈ 3-4 Months
≈ 4 Months
≈ 2-3 Months
≈ 3 Months
≈ 2-3 Months
≈ 2-3 Months
≈ 2 Months
≈ 3 Months
≈ 2 Months
≈ 2 Months
≈ 1-2 Months
* This is based on averages from our students. This may change depending on your experience and level of expertise.

Success!!

Clear the KCNA exam with flying colors
Start the Test

Test your Readiness for Free!

The skills test is a hands-on exam that helps you identify where you stand today in your preparation for your Docker exam. Do you know about Docker enough to attempt the exam? Find out now!

Topic based learning paths

Path

Linux

5 Courses
200h
Path

DevOps

11 Courses
170h
Path

Kubernetes

9 Courses
183h
Path

CI/CD

6 Courses
61h

Role based learning paths

Path

System
Administrator

13 Courses
341h
Path

Kubernetes
Administrator

12 Courses
250h
Path

DevOps
Engineer

17 Courses
350h
Path

Site Reliability
Engineer

10 Courses
320h
View All

FAQs

What is CI/CD?

CI/CD stands for Continuous Integration and Continuous Deployment. It is a set of practices and tools that enable developers to automatically build, test, and deploy software applications in a consistent and streamlined manner.

What is the difference between Continuous Integration and Continuous Deployment?

Continuous Integration (CI) focuses on automating the process of merging code changes from multiple developers into a shared repository and running automated tests to detect integration issues. Continuous Deployment (CD) takes CI a step further by automating the deployment of successfully tested code changes to production environments.

What are the benefits of implementing CI/CD?

CI/CD brings several benefits, including increased development speed, faster time to market, improved code quality, early bug detection, reduced manual errors, and easier collaboration among development teams.

What are some popular CI/CD tools?

Some popular CI/CD tools include Jenkins, GitLab CI/CD, CircleCI, Travis CI, TeamCity, and GitHub Actions. These tools provide automation capabilities for building, testing, and deploying applications.

How does CI/CD integrate with version control systems?

CI/CD tools integrate with version control systems, such as Git, to automatically trigger build and deployment processes whenever changes are pushed to the repository. This ensures that code changes are continuously tested and deployed.

What is the role of automated testing in CI/CD?

Automated testing is a crucial component of CI/CD. It includes unit tests, integration tests, and other types of automated tests that are executed as part of the CI/CD pipeline. These tests ensure the quality and reliability of the software before it is deployed.

Can CI/CD be used with containerized applications?

Yes, CI/CD is well-suited for containerized applications. Containers provide a consistent and reproducible environment for building, testing, and deploying applications, making it easier to integrate CI/CD pipelines into container-based workflows.

What are some common challenges in implementing CI/CD?

Some common challenges include managing complex deployment pipelines, ensuring compatibility across different environments, handling database migrations, maintaining good test coverage, and managing secrets and configurations securely.

Is CI/CD applicable only to cloud-based applications?

No, CI/CD can be applied to applications deployed in various environments, including on-premises, hybrid cloud, and multi-cloud environments. The principles of CI/CD can be adapted to different deployment scenarios.

What skills are important for implementing CI/CD?

Skills in version control systems (e.g., Git), scripting and automation (e.g., Bash, Python), knowledge of CI/CD tools, containerization (e.g., Docker), and infrastructure-as-code (e.g., Terraform) are valuable for successful implementation of CI/CD.