BCS Artificial Intelligence Foundation

Price
Net €
VAT €

Price
Price on Request

Duration
3 days

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
Online Live

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Innovative ability increasingly depends on understanding intelligent systems. Those who have mastered the basics recognize connections between data, algorithms, and business objectives and can realistically evaluate technological developments. Structured knowledge creates clarity in a complex subject area.

Key topics

Concepts and areas of application for AI.
An overview of machine learning.
Data as a strategic resource.
Bias, fairness, and compliance.
Implementation scenarios in companies.
Future trends in AI.

Prerequisite
Interest in digitalization and basic IT affinity.

Target group
Specialists and managers, innovation and digitalization officers, advisory roles.

Competence in dealing with AI strengthens strategic foresight, improves decision-making quality, and supports sustainable value creation in a data-driven economy.

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Course content

Sustainable & responsible AI

Definition of human and artificial intelligence
Ethics and trustworthy AI
Sustainability: Three pillars and 17 UN goals
AI in "universal design" and the "fourth industrial revolution"
Machine learning as a driver of AI development

Robotics & AI technology

Demonstrate understanding of an AI-powered agent
Name the characteristics of a robot
Explain the characteristics of an intelligent robot

AI: Opportunities and risks

Sustainable AI means ethical, human-centered use and shapes society, businesses, and individuals.
AI offers efficiency, innovation, and new solutions to complex problems.
AI projects require data, expertise, and clear objectives.
Risks lie in bias, data protection, and wrong decisions.
AI applications range from automation to medical diagnostics.
Funding is often linked to TRL levels, such as government innovation programs.

Getting started with machine learning

Learning process from data: How it works, software, and hardware
Essential AI capabilities for machine learning
Relevant characteristics of AI agents and how they work

Responsibility of humans and machines

Recognition that AI (especially ML) promotes collaboration between humans and machines
Future-oriented models of human-machine collaboration
Explanation of "learning through experience"
Agile project methods

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What does the EXIN BCS Artificial Intelligence Foundation teach?

The focus is on basic knowledge of artificial intelligence. Key terms, typical areas of application, data models, machine learning, and the opportunities, risks, and ethical aspects of AI in a business context are covered.

Who is the Artificial Intelligence Foundation suitable for?

The training is intended for professionals from IT, business, management, project work, or digitalization who want to understand AI and classify its use in the company from a technical perspective.

What prior knowledge is required?

No prior technical knowledge is required. However, a general understanding of digital technologies, data, and business processes will make it easier to get started with topics related to artificial intelligence.

What are the benefits of certification in everyday working life?

The certification confirms sound basic knowledge of AI. It provides organizations with guidance for projects, decision-making processes, and the evaluation of AI technologies.

What topics related to artificial intelligence will be covered?

The focus is on fundamental AI concepts, machine learning, data quality, application scenarios in companies, and legal and ethical issues.

Is the Artificial Intelligence Foundation technically or strategically oriented?

The focus is on conceptual understanding. The course teaches the basics, possible applications, and effects of AI, not the technical development of algorithms.

What role does artificial intelligence play in the company?

Automation, data analysis, and decision support are of central importance. AI enables more efficient processes, new business models, and data-based strategies.

How widely recognized is the EXIN BCS AI Foundation certification?

Internationally recognized certification from EXIN and BCS confirms fundamental skills in the field of artificial intelligence and is used worldwide in IT and digitization projects.

Do you have any further questions? Please contact us.

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