Course
digicode: DOCKB1
Docker Basics: Containerization with AI
Course facts
Download as PDF- Independently creating, managing, and analyzing Docker images and containers, as well as systematically troubleshooting common errors
- Containerizing applications using maintainable and optimized Dockerfiles, and critically evaluating and improving AI-generated Docker configurations
- Building multi-container applications with Docker Compose, including the targeted use of networks, volumes, and registries
- Applying security best practices, protecting sensitive data, and identifying common security risks
- Effectively integrating Docker into modern development and deployment processes
Learn about Docker from the perspective of modern software development. During the course, you’ll gradually develop a complete containerized application. You’ll apply each new concept directly in a realistic project scenario.
The following topics will be covered through hands-on exercises:
- Why Docker forms the foundation of modern DevOps and cloud architectures today
- Differences between traditional deployments, virtual machines, and containers
- The structure and functionality of Docker images, containers, and registries
- Creating maintainable Dockerfiles and optimizing build processes
- Developing and operating multi-container applications with Docker Compose
- Persistence, networking, and communication between containers
- Security best practices and common security risks
- Evaluating and optimizing AI-generated Dockerfiles and Compose files
- Positioning Docker within modern deployment strategies and distinguishing it from Kubernetes
Short theory sessions will teach you the necessary fundamentals. You’ll then apply these concepts directly in hands-on exercises. Live demonstrations, collaborative error analysis, and discussions of current best practices will help you apply what you’ve learned to real-world projects. In the course, we’ll work on a comprehensive sample application and expand it step by step.
There is a special focus on:
- Problem-based learning using real-world project scenarios
- Hands-on exercises after each topic block
- Critical evaluation of AI-generated Docker configurations
- Software Developers
- DevOps Engineers
- System Administrators
- Software Architects
- Technical Leads
- IT Managers at SMEs
Basic knowledge of
- the Linux or Windows command line
- software development
- a basic understanding of web applications
No Docker experience required.
Please create a free AI account (e.g., ChatGPT, Claude, Copilot, or Perplexity) before the course begins.
Please create a free AI account (e.g., ChatGPT, Claude, Copilot, or Perplexity) before the course begins.