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Zero to Master Program

Docker Training

Docker training is essential for developers and IT professionals aiming to enhance their containerization skills. This course covers core Docker concepts, including container creation, management, and orchestration. Participants will learn to build and deploy containerized applications, utilize Docker Compose for multi-container setups, and integrate Docker with CI/CD pipelines. Hands-on labs ensure practical experience with real-world scenarios, while advanced topics like Docker Swarm and Kubernetes offer insights into scaling and managing clusters. By the end of the training, attendees will be equipped to efficiently use Docker in modern DevOps environments, improving workflow automation and application deployment.

Fee

COURSE FEE

25,000

4.8

12K+ Learners enrolled

100 +

Duration(Hours)

350+

Problems

This is where you embark on an amazing journey!

Most flexible program in the industry

Freedom to learn

Watch classes anytime at your convenience.

Cheat days

Catch up on the course when life calls you elsewhere.

Features that keep you going

A structured curriculum that makes learning easy

Practice coding problems of varying difficulty

Engagement coach to keep you motivated

Compile & run in an integrated coding environment

Get doubts resolved in 30 mins

1:1 sessions over voice call & chat with our skilled teaching assistants

Industry leading mentors to help you grow

1:1 Mock interviews with resume and career guidance

Structured feedback to make you better

Get a chance to be referred to your mentors’ company

Experience a seamless job switch with hiring assistance

Skill-based hiring across all levels of experience

The results

110%

Average salary hike

7000+

Transitions to product companies

250+

Trusted placement partners

Frequently asked but seldom read questions

Yes, this course is entirely offline, and we offer some courses online as well.

Learning Docker is essential for modern software development and deployment because it simplifies application management, improves consistency across environments, and enhances scalability. It's widely used in DevOps, continuous integration, and continuous deployment pipelines.

Submissions are evaluated based on criteria such as correctness, completeness, critical thinking, and adherence to instructions, typically using rubrics or grading guidelines provided by the instructor.

This course is ideal for software developers, system administrators, DevOps engineers, and anyone interested in containerization and modern application deployment techniques.

Basic knowledge of Linux, understanding of command-line interfaces, and familiarity with software development concepts are recommended. Prior experience with virtualization or other container technologies is beneficial but not required.

You will learn about Docker architecture, installing and configuring Docker, working with Docker images and containers, Docker Compose, Docker Swarm, and best practices for containerizing applications. The course also covers advanced topics such as Docker networking, volumes, and security.

Enhanced Skill Set:
This course will enhance your technical skills in containerization, making you more competitive in the job market.

Career Advancement:
Completing the course can lead to career growth opportunities, especially in roles related to DevOps, cloud computing, and software engineering.

Improved Efficiency:
Learning Docker helps you streamline the development, testing, and deployment processes, resulting in more efficient and reliable software delivery.

Networking Opportunities:
By joining the Algoxfusion alumni network, you can connect with industry professionals, share knowledge, and stay updated on the latest trends and best practices in Docker and containerization.

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Meet the faculty legends that will make you legendary

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Praveen Kumar

Founder & Instructor

Praveen has a full stack development experience and professional instructor and trainer for Flutter, Data Science, Machine Learning and Python Programming. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations.

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Lenin Prakash

Co-Founder & Instructor

He is an expert in JavaScript & React (Front-end) and has worked on open-source projects like Firebug and Zulip. He has also served as a GCI (Google Code-In) Mentor with Zulip. In his previous role as a Software Engineer he has worked for Goibibo-MMT.

Course curriculum for the curious

  • -What is Docker?
  • -Why Docker is used?
  • -Docker vs. Virtual Machines
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  • -Installing Docker on Windows, macOS and Linux
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  • -Docker images and containers
  • -Docker Hub
  • -Dockerfile basics
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  • -Running containers
  • -Stopping and removing containers
  • - Managing container lifecycle
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  • -Networking basics in Docker
  • -Exposing container ports
  • -Linking containers
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  • -Understanding Docker volumes
  • - Persistent data with volumes
  • -Sharing data between containers
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  • -Introduction to Docker Compose
  • -Writing a Docker Compose file
  • -Running multi-container applications
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  • -Introduction to Docker Swarm
  • -Creating a Swarm cluster
  • -Deploying services on Swarm
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  • -Best practices for Dockerfile
  • -Container orchestration best practices
  • -Security considerations
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  • - Integrating Docker into CI/CD pipelines
  • -Building and deploying Docker images automatically
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  • -Docker networking modes
  • -Docker storage drivers
  • -Docker security features
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  • -Overview of Docker ecosystem tools (e.g., Docker Machine, Docker Compose, Docker Swarm, Docker Registry)
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