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Artificial Intelligence

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Duration:
2 days

Study Mode:
Online / Blended  Weekend intensive delivery

Price:
TBC

ICDL ASIA

ICDL Foundation is an international organisation dedicated to raising digital competence standards in the workforce, education and society. Our certification programs, delivered through an active network in more than 100 countries, enable individuals and organisations to assess, build and certify their competence in the use of computers and digital tools to the globally-recognised ICDL standard.

As a non-profit social enterprise, ICDL Foundation benefits from the unique support of experts from national computer societies and partners worldwide to develop vendor-independent standards that define the skills and knowledge required to use digital technology effectively. We work with education and training partners, local and regional authorities, national governments, international development organisations as well as public and private sector employers in all sectors, in the delivery of our programs.

The quality and reputation of ICDL is built on over twenty years of experience in delivering our certification programs to over 16 million people and in more than 40 languages worldwide, with more than 2.5 million ICDL tests taken annually. Our success is maintained by our ongoing innovation in certification program development, our commitment to rigorous test design methodologies, and consistent adherence to our quality assurance standards.

ICDL Foundation supports the initiatives of National Operators of the program in Europe and the Arab States from our headquarters in Dublin, Ireland and our ICDL Europe office in Brussels, Belgium. We have also established three regional operations – ICDL Africa (based in Rwanda), ICDL Asia (based in Singapore) and ICDL Americas (based in Panama). All ICDL Foundation operations work closely with regional, national and local partners to develop the global network of ICDL Accredited Test Centres.

Artificial Intelligence

The Artificial Intelligence module introduces the potential of artificial intelligence (AI) – the intelligence demonstrated by a machine when it perceives its environment and takes actions that maximize the likelihood of achieving specific goals.

By deploying the right AI technology, businesses and organizations can save time and money and can innovate by automating routine processes and tasks, increasing productivity and operational efficiencies and making faster business decisions based on outputs from cognitive technologies.

This module is suitable for a wide range of candidates; for example, non-technical professionals who wish to build and demonstrate an understanding of Artificial Intelligence, facilitating engagement with their technical colleagues or their suppliers, or students who wish to add general technical knowledge to sector-specific or general studies.

Module Overview

CategoryContent
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 organizations 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
  • Recognize limits to AI
  • Recognize 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

Learning outcomes

The Artificial Intelligence module consists of e-learning 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 recognize 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 recognize examples of how AI supports data mining, natural language processing and decision making
  • recognize the limits, ethical guidelines, social and economic impact, as well as the potential and implications of AI
Thank you for your interest in
ICDL Artificial Intelligence

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