• Duration

    75 Mins

  • Level

    Beginner

  • Course Type

    Free Course

What you'll Learn

  • Understand what Docker is, why it matters, and how it solves environment mismatch issues.

  • Learn the key differences between containers and virtual machines.

  • Discover how Docker powers microservices, CI/CD pipelines, and machine learning workflows.

  • Master Docker images, Dockerfiles, and the full container lifecycle: pulling, building, running, and pushing images.

  • Gain experience managing volumes and cleaning up Docker resources.

Who Should Enroll?

  • Developers & Engineers who want to streamline deployment across environments.

  • Data Scientists & ML Engineers looking to dockerize machine learning models and workflows.

  • DevOps Beginners eager to learn one of the most essential tools in modern infrastructure.

  • Students & Tech Enthusiasts who want hands-on exposure to containerization.

Course curriculum

  • 1
    Introduction & Core Concepts
    • Getting Started with Docker
    • Why Docker is Needed
    • Understanding Docker Architecture
    • Images and Containers Explained
  • 2
    Working with Docker
    • Running Your First Container
    • Managing Containers: Start, Stop, Remove
    • Working with Docker Images
    • Building Custom Images
    • Writing Your First Dockerfile
    • Pushing Images to a Registry
  • 3
    Advanced Usage & Real-World Scenarios
    • Introduction to Docker Compose
    • Multi-Container Applications
    • Networking in Docker
    • Volumes and Data Persistence
    • Wrap-Up and Next Steps

FAQ

  • Do I need prior Docker experience?

    No, this course starts from the basics. Familiarity with programming and command-line usage will be helpful but not mandatory.

  • Do I need coding knowledge?

    Basic coding helps, but the course uses simple explanations and demos so anyone can follow.

  • Will I work on a project in this course?

    Yes! You’ll install Docker Desktop and dockerize a real Streamlit application, gaining hands-on deployment experience.

  • Is Docker useful beyond DevOps?

    Absolutely. Docker is widely used in data science, ML pipelines, microservices, and cloud environments.

  • Does this course include a certificate of completion?

    Yes, you will receive a certificate of completion upon successfully finishing the course and all associated assessments.