What you'll get
  • 12+ Hours
  • 7 Courses
  • Course Completion Certificates
  • Self-paced Courses
  • Technical Support
  • Case Studies

Synopsis

  • Core Docker and containerization concepts
  • Creating and managing images and containers
  • Working with Docker volumes and networks
  • Building and deploying containerized applications
  • Using Docker in development and production
  • Integrating Docker with cloud and virtualization
  • Applying Docker best practices
  • Hands-on experience with real-world projects

Content

Courses No. of Hours Certificates Details
Docker Course46mView Curriculum
Docker2h 19mView Curriculum
Docker Training1h 54mView Curriculum
Courses No. of Hours Certificates Details
Kubernates2h 42mView Curriculum
Project on Kubernetes: Hosting a Web Application as a Container3h 38mView Curriculum
Project on Kubernetes: Deploying a Custom Docker Image1h 22mView Curriculum
Project on Docker: Application Deployment1h 1mView Curriculum

Description

The Docker Training and Certification course offers a comprehensive learning experience on Docker containerization technology and its applications in software development, cloud computing, and data science. This course covers the latest Docker features, tools, and best practices, enabling learners to efficiently create, manage, and deploy containerized applications.

Through hands-on exercises and project-based learning, participants will gain practical experience with Docker containers, images, volumes, and networking, as well as insights into the cloud and virtualization technologies that underpin containerization. The course also emphasizes the importance of operating systems and networking concepts, helping learners understand Docker at the system and network levels.

By the end of this training, you will be able to implement Docker in real-world development and IT environments and confidently manage and deploy container-based applications.

Sample Certificate

Course Certification

Requirements

  • Basic understanding of software development

  • Familiarity with cloud or virtualization concepts

  • Knowledge of operating systems and networking fundamentals

  • Access to a computer with internet connectivity.

Target Audience

  • Students and IT professionals with basic OS, networking, or cloud knowledge

  • Web developers, application developers, and software engineers

  • DevOps engineers, system engineers, and data engineers

  • Anyone interested in learning Docker for software development or data science.