BCS Foundation in Artificial Intelligence Training in Belgium

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 3 Days
  • Level: Fundamentals
  • Price: From €2,200 +TAX
  • Upcoming Date:
  • UK & Belgium Based Global Training Provider

The BCS accredited Certificate in Artificial Intelligence Foundation course is our latest Artificial Intelligence training course. The course builds upon the basic knowledge of AI. Over the 3 days the course will take you from a basic understanding of AI to the ability to create your own AI product.



Prerequisites

There are no entry requirements for this training


We can organize this training at your preferred date and location.
HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

What You Will Learn

1 Ethical and Sustainable Human and Artificial Intelligence (20%). Candidates will be able to:

  • Recall the general definition of Human and Artificial Intelligence (AI)
  • Describe the concept of intelligent agents.
  • Describe a modern approach to Human logical levels of thinking using Robert Dilt’s Model.
  • Describe what are Ethics and Trustworthy AI
  • Recall the general definition of Ethics.
  • Recall that a Human Centric Ethical Purpose respects fundamental rights, principles and values
  • Recall that Ethical Purpose AI is delivered using Trustworthy AI that is technically robust.
  • Recall that the Human Centric Ethical Purpose Trustworthy AI is continually assessed and monitored.
  • Describe the three fundamental areas of sustainability and the United Nation’s seventeen sustainability goals.
  • Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’.
  • Understand that ML is a significant contribution to the growth of Artificial Intelligence.
  • Describe ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s explicit definition).
  • Artificial Intelligence and Robotics (20%)
  • Demonstrate understanding of the AI intelligent agent description
  • List the four rational agent dependencies
  • Describe agents in terms of performance measure, environment, actuators and sensors
  • Describe four types of agent: reflex, model-based reflex, goal-based and utility-based.
  • Identify the relationship of AI agents with Machine Learning (ML).
  • Describe what a robot is.
  • Describe robotic paradigms
  • Describe what an intelligent robot is.
  • Relate intelligent robotics to intelligent agents.
  • Applying the benefits of AI – challenges and risks (15%)
  • Describe how sustainability relates to human-centric ethical AI and how our values will drive our use of AI will change humans, society and organisations.
  • Explain the benefits of Artificial Intelligence
  • List advantages of machine and human and machine systems.
  • Describe the challenges of Artificial Intelligence, and give the general ethical challenges AI raises, along with examples of the limitations of AI systems compared to human systems.
  • Demonstrate understanding of the risks of AI project
  • Give at least one a general example of the risks of AI
  • Describe a typical AI project
  • Describe a domain expert
  • Describe what is ‘fit-of-purpose’.
  • Describe the difference between waterfall and agile projects.
  • List opportunities for AI.
  • Identify a typical funding source for AI projects and relate to the NASA Technology Readiness Levels (TRLs).
  • Starting AI how to build a Machine Learning Toolbox – Theory and Practice (30%)
  • Describe how we learn from data – functionality, software and hardware.
  • List common open source machine learning functionality, software and hardware
  • Describe introductory theory of Machine Learning.
  • Describe typical tasks in the preparation of data.
  • Describe typical types of Machine Learning Algorithms.
  • Describe the typical methods of visualising data.
  • Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality.
  • The Management, Roles and Responsibilities of humans and machines (15%)
  • 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.
  • Describe a ‘learning from experience’ Agile approach to projects
  • Describe the type of team members needed for an Agile project.

Training Outline

Each major subject heading in this syllabus is assigned and allocated a percentage of study time. The purpose of this is:

  1. Guidance on the proportion of time allocated to each section of an accredited course.
  2. Guidance on the proportion of questions in the exam.

The course will cover the follow topics:

  • Ethical and Sustainable Human and Artificial Intelligence ( 25% )
  • Applying the benefits, challenges and risks of a Machine Learning project ( 30% )
  • An introduction to Machine Learning Theory and Practice (35%)
  • The Management, Roles and Responsibilities of humans and machines (10%)

Why Choose Us

Experience BCS Foundation in Artificial Intelligence in Belgium through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from Belgium or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience BCS Foundation in Artificial Intelligence through face-to-face Classroom Based training in Belgium. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange BCS Foundation in Artificial Intelligence in Belgium as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in Belgium or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.
Contact us for more detail about our trainings and for all other enquiries!

BCS Foundation in Artificial Intelligence Training Course in Belgium Schedule

Join our public courses in our Belgium facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
04 oktober 2026 (3 Days)
Brussels, Antwerp, Ghent
€2,200 +TAX
08 oktober 2026 (3 Days)
Brussels, Antwerp, Ghent
€2,200 +TAX
11 oktober 2026 (3 Days)
Brussels, Antwerp, Ghent
€2,200 +TAX
12 november 2026 (3 Days)
Brussels, Antwerp, Ghent
€2,200 +TAX
13 november 2026 (3 Days)
Brussels, Antwerp, Ghent
€2,200 +TAX
22 november 2026 (3 Days)
Brussels, Antwerp, Ghent
€2,200 +TAX
29 november 2026 (3 Days)
Brussels, Antwerp, Ghent
€2,200 +TAX
17 januari 2027 (3 Days)
Brussels, Antwerp, Ghent
€2,200 +TAX

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