Employees use AI “in their own way”, managers do not have common rules, and the organization does not know:
where AI actually helps
where the risk begins
and how to prepare for legal regulations and data security requirements
Lack of basic knowledge leads to chaos, bad decisions and a false sense of control.
Solution: structured knowledge about AI – from the basics to safe use
The “Complete Guide to AI for Businesses” training organizes knowledge about artificial intelligence in an accessible and practical way – without technical jargon, but with an emphasis on real business applications, safety and responsibility.
The participant goes through the full AI context:
what AI is (and what it is not),
how it works,
where it makes sense in business,
what risks does it carry,
and what legal and ethical obligations are associated with its use in the organization.
This training builds a common foundation of knowledge necessary for informed decisions and further actions related to AI.
Benefits – why is it worth it?
For the participant:
You will understand how AI works and where its limitations arise.
You will learn to recognize sensible and risky applications of AI in your daily work.
You will gain confidence in using AI tools in accordance with safety and legal principles.
For the company:
A common level of AI knowledge across the organization.
Reducing legal, image and operational risks.
A solid foundation for creating policies, procedures and further AI implementations.
Who is this training for?
This training is for you if:
You work in a company that is starting or already using AI tools.
You want to organize your knowledge about AI without going into technical details.
You are responsible for teams, processes or information security.
You need a common point of reference before implementing AI in your organization.
What will you find in the training?
Explanation of key AI concepts.
An accessible overview of how AI models and generative AI work.
Examples of AI applications in business.
Discussion of threats, limitations and common errors.
Final test to test key knowledge.
An introduction to AI security, law, and ethics.
Engagement mechanisms and training methods used in the course
To facilitate understanding and practical application of knowledge to the realities of work, the course uses:
Accessible explanations and business examples – no technical jargon.
Decision scenarios – showing the consequences of different ways of using AI.
Reflective questions – encouraging the evaluation of current practices within the organization.
Final test – verifying understanding of key issues.
Voice assistant – supporting the participant during training and making it easier to navigate the course.
