• Online, Self-Paced
Course Description

In this 12-video course, learners can explore differences between on-premises and hybrid cloud deployment and the challenges and benefits afforded by hybrid cloud architecture for machine learning solutions. Discover how to derive goals and design process for a successful hybrid cloud implementation. Begin by examining essential features afforded by cloud and cloud deployment models, and compare characteristics of on-premises and cloud deployment from perspectives of cost, hardware, software, mobility, and reliability. View factors influencing on-premises and cloud architecture; compare hybrid versus private versus public cloud; and use hybrid cloud assessment to identify appropriate scenarios for adopting a hybrid cloud architecture. Learners will be able to list essential factors to consider when deriving a hybrid cloud implementation strategy and architecture, and benefits and challenges of implementing hybrid cloud. Look at key considerations to determine whether to move and deploy applications to the cloud or retain them on on-premises environment, and demonstrate the steps involved in setting up hybrid cloud architecture. The concluding exercise involves recalling benefits of hybrid cloud and the differences between on-premises and hybrid cloud deployment models.

Learning Objectives

{"discover the key concepts covered in this course"}

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Systems Architecture
  • Systems Development