BCS Foundation in Artificial Intelligence Training in Germany

  • Learn via: Classroom
  • Duration: 2 Days
  • Level: Fundamentals
  • Price: From €1,924+VAT
We can host this training at your preferred location. Contact us!

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 2 days the course will take you from a basic understanding of AI to the ability to create your own AI product.

There are no entry requirements for this training

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.

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%)


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

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

Classroom / Virtual Classroom
16 Mai 2024
Berlin, Hamburg, Münih
€1,924 +VAT Book Now
Classroom / Virtual Classroom
11 Juni 2024
Berlin, Hamburg, Münih
2 Days
Classroom / Virtual Classroom
15 Juni 2024
Berlin, Hamburg, Münih
2 Days
Classroom / Virtual Classroom
23 Juni 2024
Berlin, Hamburg, Münih
2 Days
Classroom / Virtual Classroom
11 Juli 2024
Berlin, Hamburg, Münih
2 Days
Classroom / Virtual Classroom
15 Juli 2024
Berlin, Hamburg, Münih
€1,924 +VAT Book Now
Classroom / Virtual Classroom
21 Juli 2024
Berlin, Hamburg, Münih
2 Days
Classroom / Virtual Classroom
09 August 2024
Berlin, Hamburg, Münih
2 Days
BCS Foundation in Artificial Intelligence Training Course in Germany

The Federal Republic of Germany is the second most populous country in Europe and is located in Central Europe. The official language of the country is German. Germany is one of the richest countries in the world. The main exports of the country include motor vehicles and iron and steel products.

Here are some fun facts about Germany:
The fairy tale writer, the Brothers Grimm, came from Germany and wrote many famous stories such as Cinderella, Snow White, and Sleeping Beauty.
Germany is home to the largest theme park in Europe, the Europa-Park.
The famous composer Ludwig van Beethoven was born in Germany.
The Autobahn, the German highway system, is known for having no general speed limit.


Berlin was divided by the Berlin Wall from 1961 to 1989. Known for its street art, Berlin has many colorful murals and graffiti throughout the city. Also, Berlin is home to many famous museums, such as the Pergamon Museum and the Museum Island. Many clubs and bars stay open until the early hours of the morning in this big city.

Another popular city is Munich, which is famous for its Oktoberfest beer festival that attracts millions of visitors every year. Munich is also home to many historic buildings, including Nymphenburg Palace and the Marienplatz town square.

The country's capital and largest city is Berlin, however Frankfurt is considered to be the business and financial center of Germany. It is home to the Frankfurt Stock Exchange, the European Central Bank, and many other financial institutions. Because of its central location within Europe and its status as a major financial hub, Frankfurt is often referred to as the "Mainhattan," a play on the city's name and its association with the Manhattan financial district in New York City.

Frankfurt is also a major transportation hub, with the largest airport in Germany and one of the largest in Europe, Frankfurt Airport. Additionally, it is a popular destination for tourists, with its historic city center, beautiful parks, and vibrant cultural scene.

Some of the top German technology companies like Siemens AG, Bosch, SAP SE, Deutsche Telekom, Daimler AG and Volkswagen has business centers in Frankfurt. The country has a strong tradition of engineering and innovation, and is home to many other world-class technology companies and research institutions.

Tailored to meet the specific needs of Germany, Bilginç IT Academy combines cutting-edge training methodologies with our comprehensive range of Certification Exam preparation courses and accredited corporate training programs. Experience a transformative approach to IT training that will redefine your expectations.
By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.