BCS Generative Artificial Intelligence Award

Price
Net €
VAT €

Price
Price on Request

Duration
1 day

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

Location

Course Language
English

Training Solutions
Online Live

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Generative artificial intelligence shapes communication, product development, and knowledge work. A structured overview of concepts, limitations, and added value enables clear strategic positioning.

Key topics

Architecture and principles of generative models.
Prompt design and output evaluation.
Security, data protection, and governance.
Integration into existing business processes.
Market overview of relevant AI solutions.

Prerequisite
Interest in innovation, technology, and digital business models.

Target group
Managers, consultants, IT specialists, innovation managers, specialist departments with a digital focus.

A reflective understanding of AI provides a solid basis for decision-making and opens up new perspectives for sustainable value creation.

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Course content

Fundamentals of AI and generative AI

Description of the most important concepts of generative AI
Description of common applications of generative AI
Description of the role of machine learning in generative AI

How generative AI works

Description of the phases of the generative AI process
Explanation of the use of data in generative AI
Description of the role of transformers
Description of the role of feedback in generative AI

Prompting generative AI

Explanation of the role of prompts
Description of the types of prompts and their use

Validation and verification of output

Description of the necessity of quality checks for generative AI results
Explanation of methods for validating generative AI results

Ethical and legal concerns

Description of ethical considerations in the development of generative AI
Description of legal and regulatory considerations in the development of generative AI
Explanation of how common AI risks can be mitigated

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 Generative Artificial Intelligence certification teach?

The course covers basic concepts of generative AI, possible applications in companies, and opportunities and risks. Content includes technologies behind generative models, typical fields of application, and responsible use of AI in a professional context.

Who is the Generative AI certification suitable for?

Suitable for professionals in IT, business, project management, and digitalization. Particularly relevant for roles that need to understand, evaluate, or strategically use generative AI.

What prior knowledge is required for the Generative AI exam?

Basic knowledge of digital technologies and AI concepts is helpful. However, technical programming experience is not necessary, as the focus is on understanding, applying, and classifying generative AI.

What topics does the Generative AI certification cover?

The course covers the fundamentals of generative models, large language models, practical application scenarios, ethical aspects, risks, governance, and the responsible use of AI in organizations.

How does Generative AI certification benefit your career?

Demonstrable AI expertise strengthens profiles in areas such as digitalization, innovation, and strategy. Organizations are increasingly looking for professionals who can classify generative AI in a well-founded manner and use it responsibly.

What role does generative AI play in companies?

Generative AI is used for content creation, automation, analysis, and knowledge management. Companies use it to increase efficiency, optimize processes, and develop new digital products and services.

Is generative AI only relevant for IT professionals?

It is also relevant for business, marketing, analysis, and management roles. Many use cases arise outside of traditional IT, for example in communication, product development, or process automation.

What skills are developed through generative AI training?

The focus is on understanding generative models, evaluating AI applications, and assessing risks and opportunities. In addition, expertise is developed for strategic decisions relating to the use of modern AI technologies.

Do you have any further questions? Please contact us.

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