The Certified Kubernetes Application Developer (CKAD) program has been developed by the Cloud Native Computing Foundation (CNCF), in collaboration with The Linux Foundation, to help expand the Kubernetes ecosystem through standardized training and certification.

As one of the highest velocity projects in the history of open source, Kubernetes use is exploding. The Cloud Native Computing Foundation is committed to growing the community of Kubernetes-knowledgeable application developers, thereby enabling continued growth across the broad set of organizations a using the technology.

Certification is a key step in that process, allowing certified application developers to quickly establish their credibility and value in the job market, and also allowing companies to more quickly hire high-quality teams to support their growth.

A Certified Kubernetes Application Developer can define application resources and use core primitives to build, monitor, and troubleshoot scalable applications and tools in Kubernetes.

The exam assumes knowledge of, but does not test for, container runtimes and a microservice architecture.

The successful candidate will be comfortable using:

  • An OCI-Compliant Container Runtime, such as Docker or rkt.
  • Cloud native application concepts and architectures.
  • A programming language, such as Python, Node.js, Go, or Java.

The certification program allows users to demonstrate their competence in a hands-on, command-line environment. The purpose of the Certified Kubernetes Application Developer (CKAD) program is to provide assurance that CKADs have the skills, knowledge, and competency to perform the responsibilities of Kubernetes application developers.

What are the objectives of Introduction to Artificial Intelligence and Machine Learning Course ?

At the end of our AI & Ml Basic training, you will be able to:

  • Explain What is Artificial Intelligence
  • Explain the sub-sets of AI
  • Interpret and Evaluate How AI & ML can help your organization.
  • Explain the sub-sets of AI
  • Interpret and Evaluate How AI & ML can help your organization.
  • Explain the sub-sets of AI
  • Interpret and Evaluate How AI & ML can help your organization.
  • Explain the sub-sets of AI
  • Interpret and Evaluate How AI & ML can help your organization.
  • Explain the sub-sets of AI
  • Interpret and Evaluate How AI & ML can help your organization.
  • Explain the sub-sets of AI
  • Interpret and Evaluate How AI & ML can help your organization.

Course Outline

Introducing Google Cloud Platform

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Getting Started with Google Cloud Platform

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Virtual Machines in the Cloud

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Getting Started with Google Cloud Platform

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Storage in the Cloud

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Containers in the Cloud

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Applications in the Cloud

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