Artificial Intelligence (AI) Foundation + Exam [AIF]
Dates et lieux de début
place1-Mechelen (Battelsesteenweg 455-B) 23 juin 2025 jusqu'au 25 juin 2025check_circle Date de début garantie |
computer En ligne: VIRTUAL TRAINING CENTRE 23 juin 2025 jusqu'au 25 juin 2025check_circle Date de début garantie |
computer En ligne: VIRTUAL TRAINING CENTER 14 juil. 2025 jusqu'au 16 juil. 2025 |
computer En ligne: VIRTUAL TRAINING CENTER 13 août 2025 jusqu'au 15 août 2025check_circle Date de début garantie |
computer En ligne: VIRTUAL TRAINING CENTER 1 sept. 2025 jusqu'au 3 sept. 2025 |
computer En ligne: VIRTUAL TRAINING CENTER 3 sept. 2025 jusqu'au 5 sept. 2025check_circle Date de début garantie |
computer En ligne: VIRTUAL TRAINING CENTER 16 sept. 2025 jusqu'au 18 sept. 2025 |
place1-Mechelen (Battelsesteenweg 455-B) 1 oct. 2025 jusqu'au 3 oct. 2025 |
computer En ligne: VIRTUAL TRAINING CENTRE 1 oct. 2025 jusqu'au 3 oct. 2025 |
computer En ligne: VIRTUAL TRAINING CENTER 6 oct. 2025 jusqu'au 8 oct. 2025 |
computer En ligne: VIRTUAL TRAINING CENTER 29 oct. 2025 jusqu'au 31 oct. 2025 |
computer En ligne: VIRTUAL TRAINING CENTER 10 nov. 2025 jusqu'au 12 nov. 2025 |
computer En ligne: VIRTUAL TRAINING CENTER 17 nov. 2025 jusqu'au 19 nov. 2025 |
computer En ligne: VIRTUAL TRAINING CENTER 1 déc. 2025 jusqu'au 3 déc. 2025 |
place1-Mechelen (Battelsesteenweg 455-B) 2 fév. 2026 jusqu'au 4 fév. 2026 |
computer En ligne: VIRTUAL TRAINING CENTRE 2 fév. 2026 jusqu'au 4 fév. 2026 |
computer En ligne: VIRTUAL TRAINING CENTER 2 mar. 2026 jusqu'au 4 mar. 2026 |
place1-Mechelen (Battelsesteenweg 455-B) 1 juin 2026 jusqu'au 3 juin 2026 |
computer En ligne: VIRTUAL TRAINING CENTER 1 juin 2026 jusqu'au 3 juin 2026 |
computer En ligne: VIRTUAL TRAINING CENTRE 1 juin 2026 jusqu'au 3 juin 2026 |
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
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 o…
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
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
- Describe how Artificial Intelligence (AI) is Part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’
- Demonstrate Understanding of the Artificial Intelligence (AI) Intelligent Agent Description
- Explain the Benefits of Artificial Intelligence (AI)
- Describe how we Learn from Data – Functionality, Software and Hardware
- Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together
- Describe a ‘Learning from Experience’ Agile Approach to Projects
AUDIENCE
The Artificial Intelligence Foundation 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 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
CONTENT
- Ethical and Sustainable Human and Artificial Intelligence (AI)
- Artificial Intelligence (AI) and Robotics
- Applying the Benefits of Artificial Intelligence (AI) – Challenges and Risks
- Starting Artificial Intelligence (AI): how to Build a Machine Learning (ML) Toolbox – Theory and Practice
- The Management, Roles and Responsibilities of Humans and 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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