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Implementation Strategies: Cloud Computing (edX)

Implementation Strategies: Cloud Computing (edX)

Gain an in-depth understanding of cloud computing and acquire skills to successfully evaluate and implement cloud technology within an enterprise architecture context. Skip About this course
There is no doubt that cloud computing is the future. Yet despite the widespread adoption of cloud computing, uncertainty remains around how to best leverage and implement this technology to realize its full potential.

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Building on the teachings in Course 1: Emerging Technologies in an Enterprise Environment, this course will provide an in-depth overview of cloud computing standards, terminology and business benefits, focusing on the framework introduced by National Institute of Standards and Technology.
Designed for leaders responsible for making technology-related business decisions, this course draws on real-life case studies and applications to equip you with the skills and knowledge to effectively implement cloud technologies within your business or organization.
Learners will review cloud technology within an overarching enterprise architecture context, considering factors such as risk management, open source vs. proprietary, redundancy, security and growth. You will apply program teachings to your own specific use cases, and will get to complete the end-to-end process from technology selection to workplace adoption.
It is recommended you complete Course 1: Emerging Technologies in an Enterprise Environment before enrolling in this course. Verified learners who complete all three courses in this series will receive an edX Professional Certificate in AI and Cloud Computing: Implementation Strategies for Business.

What you'll learn

  • Learn the fundamentals of cloud computing technology, including standards and terminology based on the framework introduced by the National Institute of Standards and Technology.
  • Become familiar with leading cloud vendors and their cloud computing technology, and produce a high-level comparable review of these technologies;
  • Successfully draft, provide input to, and/or summarise your organization’s clouding computing strategy;
  • Uncover how to strategically implement cloud technology within an enterprise architecture context.

This course is part of the AI and Cloud Computing: Implementation Strategies for Business Professional Certificate

Syllabus

Week 1, Module 1 Framework and Standards:
An introduction to cloud computing technology history, standards and terminology grounded in the framework introduced by the National Institute of Standards and Technology.

Week 2, Module 2 Technology Dive in:
An in-depth overview of cloud computing starting with the introduction of containerization, orchestration of the containers and microservices, to the full-scale high-level cloud computing technology capabilities that organizations can leverage.

Week 3, Module 3 Vendors and Decision-Making:
A review of vendor-specific cloud computing technology, including the portfolios of tech giants AWS, Google, Microsoft, and IBM, within the context of enterprise architecture.

Week 4, Module 4: Cloud Implementation – Public Cloud
Although public cloud is deemed the most cost effective, many organizations are reluctant to move mission critical workload to a public cloud. This module will address key questions such as what is a mission critical workload? How do you select a public cloud vendor? What are the steps for migrating applications to public cloud?

Week 5, Module 5: Cloud Implementation – Hybrid Cloud
Many organizations have a mix of public cloud, private cloud, and on-premises implemented in their enterprise architecture, i.e. hybrid cloud, a more complex cloud computing environment. Examine the driving forces and considerations when it comes to making the next cloud decision.

Week 6, Module 6: The Cloud Journey
An analysis on cloud native vs cloud enabled, along with reconciling legacy systems. Explore carrying out CIO cloud directives at all organization levels through discussion assignments and/or course projects.

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