Artificial Intelligence

RM499.00

ICDL Professional — Artificial Intelligence

Description

Main learning outcomes

The Artificial Intelligence module consists of elearning followed by a brief certification test. Together, these components deliver a short, focused professional development solution. On completion, candidates will be able to:

  • 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

Module overview

Category Content
What is Artificial Intelligence (AI)?
  • Define the term AI
  • Three stages of AI: narrow, general, super
  • Key milestones in the development of AI
How does AI work?
  • Key principles underpinning AI: algorithms, complexity, heuristics
  • Machine learning definition and key characteristics
  • Neural network: definition and key characteristics
  • Deep learning: definition and key characteristics
Common AI examples
  • Identify the need for AI in organisations and society
  • Examples of how AI supports data mining
  • Examples of how AI supports natural language processing
  • Examples of how AI supports decision making
AI adoption: challenges and potential
  • Recognise limits to AI
  • Recognise ethical guidelines that should inform the operation of AI: clarity and desirability of purpose, transparency, competence in operations
  • Social and economic impact of AI
  • Potential and implications of AI for different sectors
  • Implications of adopting AI in a given scenario

Download the module syllabus