Master Docker & Kubernetes using Multi-Cloud Training

Duration2 Months
Mode of TrainingOnline
LevelAdvanced
Containerization Technology

Containerization technology provides flexibility to develop and deploy the application much faster and more secure manner as part of DevOps and DevSecOps culture adopted by many of the Organization in today’s IT industry as part of SDLC (Software Development Lifecycle) process.

What will you learn?

In modern application deployment, containerization plays a key role to run any sort of application with ease using Docker tools and Kubernetes Orchestration tools. This Course providers knowledge on many tools to understand the containerization technology on different platforms like:

  • On-premises
  • AWS
  • Azure
  • GCP

  • Course was designed for every audience like IT professionals and non-IT professionals as well to be master in Containerization technology from basic to advanced level.
  • You will gain lot of exposure to different platforms and their approaches within depth knowledge on each feature of Docker tools and Kubernetes Orchestration with real-world applications deployment and management.

    • For whom is this course intended?
  • People who are seeking to understand the core concepts of Containerization tools with Live Projects and other projects as well.
  • Who are planning to do Kubernetes certifications like CKA and CKAD would be the right choice as well.
  • One who is interested in learning the functionalities of the tools in Containerization technology to survive in IT industry for longer period.

    Whats next?

    After completion of the Course, you can plan for Kubernetes certifications like:

  • CKA (Certified Kubernetes Administrator)
  • CKAD (Certified Kubernetes Application Developer)
    • devopssesion

    You may also see course CurriculumDocker & Kubernetes using Multi-Cloud Course Curriculum

    • Implement Continues Integration to build, scan and push custom images of Docker to Container registries like Docker Hub, ACR, ECR, etc., using GitHub actions.
    • Implement custom images and deploy applications on Docker Engine platform using imperative approach (React + Springboot + PostgreSǪL).
    • Deploy application using Docker compose Orchestration (React + Springboot + PostgreSǪL).
    • Deploy application on Kubernetes platform.
    • Deployment of Visualpath live application (real-time project) “k8sengineers.com” on different platforms.