Artificial Intelligence (AI) Foundation - Inclusief Examen [AIF]

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Artificial Intelligence (AI) Foundation - Inclusief Examen [AIF]

Global Knowledge Network Netherlands B.V.
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Startdaten und Startorte

computer Online: VIRTUAL TRAINING CENTER
10. Jun 2024 bis 12. Jun 2024
Details ansehen
event 10. Juni 2024, 09:00-17:00, VIRTUAL TRAINING CENTER, NL234845.1
event 11. Juni 2024, 09:00-17:00, VIRTUAL TRAINING CENTER, NL234845.2
event 12. Juni 2024, 09:00-17:00, VIRTUAL TRAINING CENTER, NL234845.3
placeNieuwegein (Iepenhoeve 5)
9. Jul 2024 bis 11. Jul 2024
check_circle Garantierte Durchführung
Details ansehen
event 9. Juli 2024, 09:00-16:30, Nieuwegein (Iepenhoeve 5), NL228179.1
event 10. Juli 2024, 09:00-16:30, Nieuwegein (Iepenhoeve 5), NL228179.2
event 11. Juli 2024, 09:00-16:30, Nieuwegein (Iepenhoeve 5), NL228179.3
computer Online: VIRTUAL TRAINING CENTRE
9. Jul 2024 bis 11. Jul 2024
check_circle Garantierte Durchführung
Details ansehen
event 9. Juli 2024, 09:00-16:30, VIRTUAL TRAINING CENTRE, NL228179V.1
event 10. Juli 2024, 09:00-16:30, VIRTUAL TRAINING CENTRE, NL228179V.2
event 11. Juli 2024, 09:00-16:30, VIRTUAL TRAINING CENTRE, NL228179V.3
placeGroningen/Paterswolde (Groningerweg 19)
22. Jul 2024 bis 24. Jul 2024
Details ansehen
event 22. Juli 2024, 09:00-17:00, Groningen/Paterswolde (Groningerweg 19), NL233339.1
event 23. Juli 2024, 09:00-17:00, Groningen/Paterswolde (Groningerweg 19), NL233339.2
event 24. Juli 2024, 09:00-17:00, Groningen/Paterswolde (Groningerweg 19), NL233339.3
computer Online: VIRTUAL TRAINING CENTRE
22. Jul 2024 bis 24. Jul 2024
Details ansehen
event 22. Juli 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL233339V.1
event 23. Juli 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL233339V.2
event 24. Juli 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL233339V.3
placeNieuwegein (Iepenhoeve 5)
7. Aug 2024 bis 9. Aug 2024
Details ansehen
event 7. August 2024, 09:00-17:00, Nieuwegein (Iepenhoeve 5), NL233336.1
event 8. August 2024, 09:00-17:00, Nieuwegein (Iepenhoeve 5), NL233336.2
event 9. August 2024, 09:00-17:00, Nieuwegein (Iepenhoeve 5), NL233336.3
computer Online: VIRTUAL TRAINING CENTRE
7. Aug 2024 bis 9. Aug 2024
Details ansehen
event 7. August 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL233336V.1
event 8. August 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL233336V.2
event 9. August 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL233336V.3
placeEindhoven (Evoluon Noord Brabantlaan 1)
3. Sep 2024 bis 5. Sep 2024
Details ansehen
event 3. September 2024, 09:00-16:30, Eindhoven (Evoluon Noord Brabantlaan 1), NL228182.1
event 4. September 2024, 09:00-16:30, Eindhoven (Evoluon Noord Brabantlaan 1), NL228182.2
event 5. September 2024, 09:00-16:30, Eindhoven (Evoluon Noord Brabantlaan 1), NL228182.3
computer Online: VIRTUAL TRAINING CENTRE
3. Sep 2024 bis 5. Sep 2024
Details ansehen
event 3. September 2024, 09:00-16:30, VIRTUAL TRAINING CENTRE, NL228182V.1
event 4. September 2024, 09:00-16:30, VIRTUAL TRAINING CENTRE, NL228182V.2
event 5. September 2024, 09:00-16:30, VIRTUAL TRAINING CENTRE, NL228182V.3
placeNieuwegein (Iepenhoeve 5)
30. Sep 2024 bis 2. Okt 2024
Details ansehen
event 30. September 2024, 09:00-17:00, Nieuwegein (Iepenhoeve 5), NL233342.1
event 1. Oktober 2024, 09:00-17:00, Nieuwegein (Iepenhoeve 5), NL233342.2
event 2. Oktober 2024, 09:00-17:00, Nieuwegein (Iepenhoeve 5), NL233342.3
computer Online: VIRTUAL TRAINING CENTRE
30. Sep 2024 bis 2. Okt 2024
Details ansehen
event 30. September 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL233342V.1
event 1. Oktober 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL233342V.2
event 2. Oktober 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL233342V.3
computer Online: VIRTUAL TRAINING CENTER
14. Okt 2024 bis 16. Okt 2024
Details ansehen
event 14. Oktober 2024, 09:00-17:00, VIRTUAL TRAINING CENTER, NL233345.1
event 15. Oktober 2024, 09:00-17:00, VIRTUAL TRAINING CENTER, NL233345.2
event 16. Oktober 2024, 09:00-17:00, VIRTUAL TRAINING CENTER, NL233345.3
placeNieuwegein (Iepenhoeve 5)
29. Okt 2024 bis 31. Okt 2024
Details ansehen
event 29. Oktober 2024, 09:00-16:30, Nieuwegein (Iepenhoeve 5), NL228185.1
event 30. Oktober 2024, 09:00-16:30, Nieuwegein (Iepenhoeve 5), NL228185.2
event 31. Oktober 2024, 09:00-16:30, Nieuwegein (Iepenhoeve 5), NL228185.3
computer Online: VIRTUAL TRAINING CENTRE
29. Okt 2024 bis 31. Okt 2024
Details ansehen
event 29. Oktober 2024, 09:00-16:30, VIRTUAL TRAINING CENTRE, NL228185V.1
event 30. Oktober 2024, 09:00-16:30, VIRTUAL TRAINING CENTRE, NL228185V.2
event 31. Oktober 2024, 09:00-16:30, VIRTUAL TRAINING CENTRE, NL228185V.3
placeAmsterdam ARISTO (Teleportboulevard 100)
20. Nov 2024 bis 22. Nov 2024
Details ansehen
event 20. November 2024, 09:00-17:00, Amsterdam ARISTO (Teleportboulevard 100), NL233333.1
event 21. November 2024, 09:00-17:00, Amsterdam ARISTO (Teleportboulevard 100), NL233333.2
event 22. November 2024, 09:00-17:00, Amsterdam ARISTO (Teleportboulevard 100), NL233333.3
computer Online: VIRTUAL TRAINING CENTRE
20. Nov 2024 bis 22. Nov 2024
Details ansehen
event 20. November 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL233333V.1
event 21. November 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL233333V.2
event 22. November 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL233333V.3
placeEindhoven (Evoluon Noord Brabantlaan 1)
4. Dez 2024 bis 6. Dez 2024
Details ansehen
event 4. Dezember 2024, 09:00-17:00, Eindhoven (Evoluon Noord Brabantlaan 1), NL233348.1
event 5. Dezember 2024, 09:00-17:00, Eindhoven (Evoluon Noord Brabantlaan 1), NL233348.2
event 6. Dezember 2024, 09:00-17:00, Eindhoven (Evoluon Noord Brabantlaan 1), NL233348.3
computer Online: VIRTUAL TRAINING CENTRE
4. Dez 2024 bis 6. Dez 2024
Details ansehen
event 4. Dezember 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL233348V.1
event 5. Dezember 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL233348V.2
event 6. Dezember 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL233348V.3
placeNieuwegein (Iepenhoeve 5)
18. Dez 2024 bis 20. Dez 2024
Details ansehen
event 18. Dezember 2024, 09:00-17:00, Nieuwegein (Iepenhoeve 5), NL228188.1
event 19. Dezember 2024, 09:00-17:00, Nieuwegein (Iepenhoeve 5), NL228188.2
event 20. Dezember 2024, 09:00-17:00, Nieuwegein (Iepenhoeve 5), NL228188.3
computer Online: VIRTUAL TRAINING CENTRE
18. Dez 2024 bis 20. Dez 2024
Details ansehen
event 18. Dezember 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL228188V.1
event 19. Dezember 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL228188V.2
event 20. Dezember 2024, 09:00-17:00, VIRTUAL TRAINING CENTRE, NL228188V.3

Beschreibung

Ontdek de verschillende trainingsmogelijkheden bij Global Knowledge

Online of op locatie er is altijd een vorm die bij je past.

Kies op welke manier jij of je team graag een training wilt volgen. Global Knowledge bied je verschillende trainingsmogelijkheden. Je kunt kiezen uit o.a. klassikaal, Virtueel Klassikaal (online), e-Learning en maatwerk. Met onze Blended oplossing kun je de verschillende trainingsvormen combineren.

OVERVIEW

Neem de volgende stap in het ontwikkelen van uw kennis en begrip van Artificial Intelligence met deze training.

Leer de algemene principes van AI, de potentiële implicaties en mogelijkheden ervan en hoe je AI-producten en -diensten vanuit meerdere invalshoeken kunt beoordelen. Voorbeelden van AI zijn de laatste tijd veel in het nieuws geweest, het begon met chatbots zoals Google Assistant en nu ChatGPT. Natuurlijk is AI veel meer dan alleen chatbots, toch gaan we hier ook op in om de do's en don't hiervan te leren.

Deze 3-daagse cursus behandelt de potentiële voordelen; soorten Artificial Intelligence (AI); het basisproces van Machine Learning (ML); de uitdagingen en risico's van ee…

Gesamte Beschreibung lesen

Frequently asked questions

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Noch nicht den perfekten Kurs gefunden? Verwandte Themen: Künstliche Intelligenz, Digitale Transformation, Virtual Reality, Deep Learning und Microsoft Outlook.

Ontdek de verschillende trainingsmogelijkheden bij Global Knowledge

Online of op locatie er is altijd een vorm die bij je past.

Kies op welke manier jij of je team graag een training wilt volgen. Global Knowledge bied je verschillende trainingsmogelijkheden. Je kunt kiezen uit o.a. klassikaal, Virtueel Klassikaal (online), e-Learning en maatwerk. Met onze Blended oplossing kun je de verschillende trainingsvormen combineren.

OVERVIEW

Neem de volgende stap in het ontwikkelen van uw kennis en begrip van Artificial Intelligence met deze training.

Leer de algemene principes van AI, de potentiële implicaties en mogelijkheden ervan en hoe je AI-producten en -diensten vanuit meerdere invalshoeken kunt beoordelen. Voorbeelden van AI zijn de laatste tijd veel in het nieuws geweest, het begon met chatbots zoals Google Assistant en nu ChatGPT. Natuurlijk is AI veel meer dan alleen chatbots, toch gaan we hier ook op in om de do's en don't hiervan te leren.

Deze 3-daagse cursus behandelt de potentiële voordelen; soorten Artificial Intelligence (AI); het basisproces van Machine Learning (ML); de uitdagingen en risico's van een AI-project en de toekomst van AI en People at Work.

Take the next step in developing your knowledge and understanding of Artificial Intelligence with this training.

Learn the general principles of AI, its potential implications and capabilities and how to assess AI products and services from multiple angles. Examples of AI have been in the news a lot lately, it started with chatbots like Google Assistant and now ChatGPT. Of course, AI is much more than just chatbots, yet we will also discuss this to learn the do's and don't of this.

This 3-day course covers the potential benefits; types of Artificial Intelligence (AI); the basic process of Machine Learning (ML); the challenges and risks associated with an AI project, and the future of AI and People at Work.

 

OBJECTIVES

  • Beschrijf hoe Artificial Intelligence (AI) deel uitmaakt van 'Universal Design' en 'De Vierde Industriële Revolutie'.
  • Toon begrip van de Artificial Intelligence (AI) Intelligente Agent Beschrijving
  • De voordelen van Artificial Intelligence (AI) uitleggen
  • Beschrijf hoe we leren van Data - Functionaliteit, Software en Hardware
  • Laat zien dat Artificial Intelligence (AI) (in het bijzonder Machine Learning (ML)) mensen en machines zal aanzetten om samen te werken.
  • Beschrijf een 'Learning from Experience' Agile Approach van projecten

AUDIENCE

Het Artificial Intelligence Foundation certificaat is gericht op personen met een interesse in (of behoefte aan) AI in een organisatie, met name degenen die werkzaam zijn op gebieden als wetenschap, techniek, kennistechnologie, financiën of IT-diensten.

De volgende jobrollen komen veelal in aanmerking;

  • 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 Foundation exam.

Examination Details

  • Examination type: Multiple-choice Questions
  • Number of questions: 40
  • Pass mark: 65%
  • Open book/notes: No
  • Electronic equipment/aides permitted: No
  • Exam duration: 60 minutes
  • ECTS Credits: 2
  • Languages: English, Portuguese, Chinese, Dutch, Japanese

 

CONTENT

  1. Ethische en duurzame menselijke en Artificial Intelligence (AI)
  2. Artificial Intelligence (AI) en Robotica
  3. De voordelen van Artificial Intelligence (AI) toepassen - Uitdagingen en risico's
  4. Starten van Artificial Intelligence (AI): hoe bouw je een Machine Learning (ML) Toolbox - Theorie en Praktijk
  5. Het beheer, de rollen en verantwoordelijkheden van mensen en machines

1   Ethical and Sustainable Human and Artificial Intelligence (AI)
1.1  Recall the General Definition of Human and Artificial Intelligence (AI)
The candidate can…
1.1.1  describe the concept of intelligent agents.
1.1.2  describe a modern approach to Human logical levels of thinking using Robert Dilt’s Model.
1.2  Describe what are Ethics and Trustworthy Artificial Intelligence (AI), in Particular:
The candidate can…
1.2.1  recall the general definition of Ethics.
1.2.2  recall that a Human Centric Ethical Purpose respects fundamental rights, principles and values.
1.2.3  recall that Ethical Purpose AI is delivered using Trustworthy Artificial Intelligence (AI) that is technically robust.
1.2.4  recall that the Human Centric Ethical Purpose Trustworthy Artificial Intelligence (AI) is continually assessed and monitored.
1.3  Describe the Three Fundamental Areas of Sustainability and the United Nation’s Seventeen Sustainability Goals
1.4  Describe how Artificial Intelligence (AI) is Part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’
1.5  Understand that Machine Learning (ML) is a Significant Contribution to the Growth of Artificial Intelligence (AI)
The candidate can…
1.5.1  describe ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s explicit definition).

2  Artificial Intelligence (AI) and Robotics
2.1  Demonstrate Understanding of the Artificial Intelligence (AI) Intelligent Agent Description, and:
The candidate can…
2.1.1  list the four rational agent dependencies.
2.1.2  describe agents in terms of performance measure, environment, actuators and sensors.
2.1.3  describe four types of agent: reflex, model-based reflex, goal-based and utility-based.
2.1.4  identify the relationship of Artificial Intelligence (AI) agents with Machine Learning (ML).
2.2  Describe what a Robot is and:
The candidate can…
2.2.1  describe robotic paradigms
2.3  Describe what an Intelligent Robot is and:
The candidate can…
2.3.1  relate intelligent robotics to intelligent agents.

3  Applying the Benefits of Artificial Intelligence (AI) – Challenges and Risks
3.1  Describe how Sustainability Relates to Human-Centric Ethical Artificial Intelligence (AI) and how our Values will Drive our use of Artificial Intelligence (AI) and will Change Humans, Society and Organizations
3.2  Explain the Benefits of Artificial Intelligence (AI) by:
The candidate can…
3.2.1  list advantages of machine and human and machine systems.
3.3  Describe the Challenges of Artificial Intelligence (AI), and:
The candidate can…
3.3.1  give examples of general ethical challenges Artificial Intelligence (AI) raises.
3.3.2  give general examples of the limitations of Artificial Intelligence (AI) systems compared to human systems.
3.4  Demonstrate Understanding of the Risks of Artificial Intelligence (AI) Projects, and:
The candidate can…
3.4.1  give at least one a general example of the risks of Artificial Intelligence (AI).
3.4.2  describe a typical Artificial Intelligence (AI) project team in particular.
3.4.3  describe a domain expert.
3.4.4  describe what is ‘fit-of-purpose’.
3.4.5  describe the difference between waterfall and agile projects.
3.5  List Opportunities for Artificial Intelligence (AI)
3.6  Identify a Typical Funding Source for Artificial Intelligence (AI) Projects and Relate to the NASA Technology Readiness Levels (TRLs)

4  Starting Artificial Intelligence (AI): how to Build a Machine Learning (ML) Toolbox – Theory and Practice
4.1  Describe how we Learn from Data – Functionality, Software and Hardware
The candidate can…
4.1.1  list common open source machine learning functionality, software and hardware.
4.1.2  describe introductory theory of Machine Learning (ML).
4.1.3  describe typical tasks in the preparation of data.
4.1.4  describe typical types of Machine Learning (ML) Algorithms.
4.1.5  describe the typical methods of visualizing data.
4.2  Recall which Typical, Narrow Artificial Intelligence (AI) Capability is Useful in Machine Learning (ML) and Artificial Intelligence (AI) Agents’ Functionality

5  The Management, Roles and Responsibilities of Humans and Machines
5.1  Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together
5.2  List Future Directions of Humans and Machines Working Together
5.3  Describe a ‘Learning from Experience’ Agile Approach to Projects
The candidate can…
5.3.1  describe the type of team members needed for an Agile project.

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