AI and Cloud Computing: Implementation Strategies for Business

Offered By: The University of British Columbia via edX

Course Description

Overview

Digital technologies are ever-evolving, rapidly moving from disruptive newcomers to industry standards. Despite the widespread adoption of cloud computing and interest in Artificial Intelligence (AI), uncertainty remains around how to best implement these technologies and fully realize the competitive advantages they present.

To add value at your organization and remain competitive, it is critical that you have the tools and knowledge to implement and leverage digital technologies. Designed for leaders responsible for making technology-related business decisions, this program provides an overview of cutting-edge technologies such as cloud computing, big data, AI and cognitive computing, blockchain, the Internet of Things (IoT), quantum computing and 5G, and how they can be strategically implemented within specific enterprise environments.

Operating at the intersection of IT and business presents unique challenges. Leaders and managers need to stay on top of proliferating information and digital transformation, while reconciling technological advancements with existing environments and legacy systems. Not only do you need to determine the best breed of technology in the marketplace, you also need to ensure new technology aligns with existing technical environments, and supports business needs, processes and objectives.

This professional certificate program will address these challenges by providing a strategic overview of emerging vendor-specific digital technologies, focusing on two of the most important and in-demand domains: cloud computing and AI. Learners will review these technologies within an overarching enterprise architecture context, considering factors such as risk management, open source vs. proprietary, redundancy, security and growth.

Through real-world case studies and application exercises you will gain the skills to make sound business-driven technology decisions, and oversee implementation. 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.

Syllabus

Courses under this program:
Course 1: Introduction: Emerging Technologies in an Enterprise Environment

Successfully leverage and implement emerging technologies within a business enterprise environment.

Course 2: Implementation Strategies: Cloud Computing

Gain an in-depth understanding of cloud computing and acquire skills to successfully evaluate and implement cloud technology within an enterprise architecture context.

Course 3: Implementation Strategies: AI and Cognitive Computing

Gain an in-depth understanding of AI technology standards and terminology, and acquire skills to successfully evaluate and implement AI and cloud computing technology within an enterprise architecture context.

Courses

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6 weeks, 3-4 hours a week, 3-4 hours a week
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Professionals operating at the intersection of IT and business face unique challenges, amplified by data proliferation and ever-evolving technology. To add business value and remain competitive, it is crucial to understand how to successfully leverage emerging technologies within a broader enterprise context.

Designed for leaders responsible for making technology-related business decisions, this course provides an overview of business architecture and applications, considering internal business aspects such as value streams and business goals, as well as external factors including markets, customers, and competitors.

Through real-world case studies and application exercises, uncover best practices for business application development, building a technology architecture and implementing new technologies. Discussions will focus on cutting-edge technologies such as big data, cloud computing, Quantum, Edge computing, IOT and 5G, AI and machine learning, and how they can be strategically implemented within specific enterprise environments.

This is the first of three courses that make up the edX Professional Certificate AI and Cloud Computing: Implementation Strategies for Business.
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6 weeks, 3-4 hours a week, 3-4 hours a week
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Artificial Intelligence (AI) is set to radically disrupt how we do business. Yet for all the hype, many businesses lack the concrete knowledge to successfully implement AI and cognitive computing initiatives.

Designed for leaders operating at the intersection of IT and business, this course builds on the teachings in Course 1: Emerging Technologies in an Enterprise Environment but this time delving specifically into AI technology standards and terminology, focusing on the framework introduced by National Institute of Standards and Technology.

Drawing on real-life case studies and applications, analyze ethical considerations and learn about AI breakthroughs and success stories. Learn the mechanisms and implementation steps needed to successfully enable and implement your organization’s business goals.

Learners will review AI and cognitive computing 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.
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6 weeks, 3-4 hours a week, 3-4 hours a week
View details

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. 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.

Taught by

Grace Shi