Artificial Intelligence Essentials (AI) + Exam [AIE]

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Artificial Intelligence Essentials (AI) + Exam [AIE]

Global Knowledge Belgium BV
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Note du fournisseur: starstarstar_halfstar_borderstar_border 4,5 Global Knowledge Belgium BV a une moyenne de 4,5 (basée sur 2 avis)

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Dates et lieux de début

placeMechelen (Battelsesteenweg 455-B)
30 nov. 2022
computer En ligne: VIRTUAL TRAINING CENTRE
30 nov. 2022
placeMechelen (Battelsesteenweg 455-B)
7 avr. 2023
computer En ligne: VIRTUAL TRAINING CENTRE
7 avr. 2023

Description

Vrijwel iedere training die op een onze locaties worden getoond zijn ook te volgen vanaf huis via Virtual Classroom training. Dit kunt u bij uw inschrijving erbij vermelden dat u hiervoor kiest.

OVERVIEW

Artificial Intelligence (AI) is a methodology for using a non-human system to learn from experience and imitate human intelligent behavior. The EXIN BCS Artificial Intelligence Essentials exam tests a candidate’s knowledge and understanding of the terminology and the general principles. This course covers the potential benefits; types of Artificial Intelligence; the basic process of Machine Learning (ML); the challenges and risks associated with an AI project, and the future of AI and Humans in work.

OBJECTIVES

  • Recall the general definition of human and Artificial Intelligence (AI).
  • Describe ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s expl…

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Foire aux questions (FAQ)

Il n'y a pour le moment aucune question fréquente sur ce produit. Si vous avez besoin d'aide ou une question, contactez notre équipe support.

Vrijwel iedere training die op een onze locaties worden getoond zijn ook te volgen vanaf huis via Virtual Classroom training. Dit kunt u bij uw inschrijving erbij vermelden dat u hiervoor kiest.

OVERVIEW

Artificial Intelligence (AI) is a methodology for using a non-human system to learn from experience and imitate human intelligent behavior. The EXIN BCS Artificial Intelligence Essentials exam tests a candidate’s knowledge and understanding of the terminology and the general principles. This course covers the potential benefits; types of Artificial Intelligence; the basic process of Machine Learning (ML); the challenges and risks associated with an AI project, and the future of AI and Humans in work.

OBJECTIVES

  • Recall the general definition of human and Artificial Intelligence (AI).
  • Describe ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s explicit definition).
  • Understand that ML is a significant contribution to the growth of Artificial Intelligence.
  • Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’.
  • Describe the challenges of Artificial Intelligence, and give general examples of the limitations of AI compared to human systems, general ethical challenges AI raises.
  • Demonstrate understanding of the risks of Artificial Intelligence, identify a typical funding source for AI projects and list opportunities for AI.
  • Demonstrate an understanding that Artificial Intelligence (in particular, Machine Learning) will drive humans and machines to work together;
  • List future directions of humans and machines working together.

AUDIENCE

The Artificial Intelligence Essentials certificate is aimed at individuals with an interest in (or need for) AI in an organisation, particularly those working in areas such as science, engineering, knowledge technology, finance or IT services.

The following job roles are mostly eligible;

  • Engineers
  • Scientists
  • Professional research managers
  • Chief technical officers
  • Chief information officers 
  • Organizational change practitioners and managers
  • Business change practitioners and managers
  • Service architects and managers
  • Program and planning managers
  • Service provider portfolio strategists / leads
  • Process architects and managers
  • Business strategists and consultants
  • Web page developers

CERTIFICATION

Successful completion of the EXIN BCS Artificial Intelligence Essentials exam.

Examination Details

  • Examination type: Multiple-choice Questions
  • Number of questions: 20
  • Pass mark: 65% (13 / 20 questions)
  • Open book/notes: No
  • Electronic equipment/aides permitted: No
  • Exam duration: 30 minutes

 

CONTENT

1.     Artificial and Human Intelligence: An Introduction and History

  • general definition of human and Artificial Intelligence (AI).
  • ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s explicit definition).
  • ML is a significant contribution to the growth of Artificial Intelligence.
  • AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’.

2.      Examples of AI: Benefits, Challenges and Risks

  • benefits of Artificial Intelligence
  • advantages of machine and human and machine systems;
  • challenges of Artificial Intelligence
  • the limitations of AI compared to human systems
  • general ethical challenges AI raises
  • understanding of the risks of Artificial Intelligence
  • funding source for AI projects
  • opportunities for AI

3.      An introduction to Machine Learning

  • AI intelligent agent
  • differences with Machine Learning (ML)
  • the four rational agent dependencies,
  • performance measure, environment, actuators and sensors,
  • reflex, model-based reflex, goal-based and utility-based.
  • examples of Machine Learning in the following contexts:
    -  business
    -  social (media, entertainment)
    -  science
  • which typical, narrow AI capability is useful in ML and AI agents’ functionality;
  • forms of ML:
    -  supervised
    -  unsupervised
    -  reinforcement
  • the basic schematic of a neutral network.

4.      The Future of Artificial Intelligence – Human and Machine Together

  • Artificial Intelligence (in particular Machine Learning) will drive humans and machines to work together
  • list future directions of humans and machines working together

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