Emerging Technologies 2022

Covering Artificial Intelligence, the Internet of Things, Big Data, and Cloud Computing, this module provides the conceptual understanding of these emerging technologies that are having a systemic and substantial effect on economies and societies.

15-20 hours per module
45 minutes per module
Arabic and English

On completion of this module you will be able to:

Unit 1 - Artificial Intelligence
  • Define Artificial Intelligence and recognise the stages and development milestones
  • Understand how AI works, including the key principles underpinning AI
  • Define the terms machine learning, neural network, and deep learning and the characteristics of each
  • Identify the need for AI and recognise examples of how AI supports data mining, natural language processing, and decision making
  • Recognise the limits, ethical guidelines, social and economic impact, as well as the potential and implications of AI
Unit 2 - Internet of Things
  • Understand key concepts relating to Internet of Things (IoT), including common structure and requirements
  • Recognise examples of consumer, commercial, industrial, and infrastructural applications of IoT
  • Identify current trends in IoT, including the evolution of IoT components and the important role played by governance.
  • Understand ethical, security, and interoperability considerations around adoption of IoT, and consider how IoT could be implemented in a given scenario
  • Consider appropriate solutions and models for implementing cloud computing in a given scenario or situation
Unit 3 - Big Data
  • Understand the term big data and its evolution, and recognise drivers behind its expansion
  • Recognize key aspects of big data relating to storage technologies, analysis, and visualisation
  • Recognise examples of big data implementation in a range of sectors
  • Identify considerations for adoption of big data, including investment, practical challenges, business potential, and ethical issues
  • Recognise steps for exploiting big data in a specific scenario or situation
Unit 4 - Cloud Computing
  • Understand key concepts relating to cloud computing
  • Recognise the features, benefits, examples, and limitations of Infrastructure as a Service (IaaS)
  • Recognise the features, benefits, limitations and provide examples of Platform as a Service (PaaS)
  • Recognise the features, benefits, limitations and provide examples of Software as a Service (SaaS)
  • Identify features and examples of Function as a Service (FaaS)
  • Know about the different models for implementing cloud computing in organisations
  • Consider appropriate solutions and models for implementing cloud computing in a given scenario or situation.

Syllabus Overview

CATEGORY SKILL SET
Unit 1 - Artificial Intelligence:
  • What is Artificial Intelligence
  • How does AI work
  • Common AI Examples
  • AI Adoption: Challenges and Potential
Unit 2 - Internet of Things
  • What is IoT?
  • IoT examples
  • Trends in IoT
  • IoT Adoption
Unit 3 - Big Data
  • What is Big Data
  • The Big Data Environment
  • Big Data in Practice
  • Big Data Adoption
Unit 4 - Cloud Computing
  • What is Cloud Computing?
  • Infrastructure as a Service (IaaS)
  • Platform as a Service (PaaS)
  • Software as a Service (SaaS)
  • Serverless, Function as a Service (FaaS)
  • Deployment Models
  • Adoption

Downloads

Click here to download the Datasheet for this module

 

 

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