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ICDL Artificial Intelligence

Oluwaseun Titi DARAMOLA

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 maximise the likelihood of achieving specific goals.

Skills / Knowledge

  • Define the term AI
  • Stages of AI
  • Key characteristics
  • Key milestones
  • Key principles underpinning AI
  • Machine learning definition
  • Neural network definition
  • Neural network key characteristics
  • Deep learning definition
  • Deep learning key characteristics
  • Identify the need for AI
  • Examples of how AI supports data mining
  • Examples of how AI supports natural language processing
  • Examples of how AI supports decision making
  • Recognise limits to AI
  • Recognise ethical guidelines
  • Social and economic impact of AI
  • Potential and implications of AI
  • Implications of adopting AI in a given scenario

Issued on

September 16, 2021

Expires on

Does not expire
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0 0 Percentage ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNICAL RISK PRINCIPAL ASSOCIATE, ES RISK ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNICAL RISK PRINCIPAL ASSOCIATE, ES RISK ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNICAL RISK DIRECTOR, ES RISK ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNICAL RISK DIRECTOR, ES RISK ARTIFICIAL INTELLIGENCE TESTER - COMPETITIVE 401(K) PROGRAMS ARTIFICIAL INTELLIGENCE TESTER - COMPETITIVE 401(K) PROGRAMS
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  • ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNICAL RISK PRINCIPAL ASSOCIATE, ES RISK
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  • ARTIFICIAL INTELLIGENCE TESTER - COMPETITIVE 401(K) PROGRAMS
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