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Cloud Developer

SS Course: GK2019

Course Overview


A thorough understanding of the technology platform and cloud-computing provider is essential for any cloud application developer. However, application developers benefit further from having a thorough understanding, and working-level knowledge, of vendor-neutral application design principles, ensuring that applications provide the most-value throughout the application lifecycle.

This course is designed for senior application developers who are designing and developing applications for cloud environments. It includes various reference materials that help to continue participants' educational experience when they are back at work after completion of the course. The course prepares candidates for the Professional Cloud Developer Certification (PCD) Exam provided by the Cloud Credential Council. The PCD is endorsed, recognized and/or supported by several key technology vendors and standards bodies. The content for this course, as well as the PCD certification is based on the cloud standards developed by the National Institute of Standards and Technology (NIST).


Scheduled Classes




1. Service Modularity, Encapsulation, and Orchestration

  • Criteria for suitability for migration of legacy apps
  • DevOps / NoOps-practical applications
  • Implications of delivering business process via a cloud model

2. Cloud Architecutre Patterns

  • Deployment models and platforms available
  • Requirements of restful and restless services
  • Common design provisions when designing to meet failure

3. Development Monetization Techniques

  • Monetization models for the different phases of development
  • The uses of monetizing apps
  • Licensing models for cloud environments

4. Cloud Security and Compliance Fundamentals

  • Main areas of legislative compliance for cloud development
  • Security threats and potential breaches in the different cloud environments
  • Benefits of the different login/sign on mechanisms available

5. Metadata and Semantic

  • Concepts of metadata and semantic data management so that the candidate can anticipate future developments in both fields when implementing a cloud environment
  • Explains the intersections between cloud design and the management of metadata
  • Impact of semantic technologies on the various stages of cloud development

6. Testing in the Cloud

  • Testing stages for cloud and non-cloud environments
  • Automate cloud testing functions
  • Public and private sandbox strategies

7. Scalable Coding

  • Coding languages
  • Portability requirements of platforms



      Who Should Attend

      • Application developers
      • Cloud Application Developers