COURSE

AI Fundamentals

Learn how AI models learn, generate responses, and where they can go wrong. This beginner-friendly, self-paced online course combines clear explanations with hands-on work using real AI tools.

Format

Online, self-paced

Duration

20 hours

Course fee

CHF 90

(Standard fee: CHF 190)

Level

Beginner

Language

English

Certificate

AI Fundamentals

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Who is this course for?

This course is for professionals, students, career changers, and complete beginners who want a practical understanding of AI and how to use it responsibly. It is also relevant for managers, educators, trainers, and HR and L&D professionals who need to decide where AI adds value, recognize its limits, or help others use it more effectively.

Course requirements

No previous AI experience, coding, mathematics, or technical background is required. You only need basic computer literacy, internet access, and access to a free AI tool such as ChatGPT, Claude, or Gemini for the practical activities.

Beginner friendly

AI concepts are explained in clear, practical language. Topics such as machine learning, large language models, tokens, and context windows are introduced without coding or mathematics.

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Understand what AI actually does

See how AI, machine learning, deep learning, and generative AI relate to each other, how models learn from data, and how large language models produce responses.

Communicate more effectively with AI

Turn vague requests into useful prompts, identify why an interaction is not working, and choose the right modality across text, images, audio, and video.

Recognize unreliable AI output

Spot hallucinations, bias, and misplaced confidence. Learn when to verify an answer, how to protect sensitive information, and which tasks should remain outside AI systems.

Decide where AI belongs in your work

Distinguish useful augmentation from automation, assess whether a tool creates real value, and understand how increasing autonomy changes the risks of AI agents.

Learning objectives and competencies

Build a practical understanding of AI and the judgment to use it effectively, responsibly, and where it adds real value.

Learning content and methodology

Learn the fundamentals, test them with real AI tools, and develop a practical way to evaluate new capabilities as they emerge.

Key content

AI, machine learning, deep learning, and generative AI

How AI models learn and generate responses

Tokens, context windows, and large language models

Prompting and multimodal AI

AI in real work and workflows

Hallucinations, bias, verification, and privacy

AI agents, autonomy, and evaluating new tools

Learning formats

Self-paced online learning

Interactive digital modules

Animated concept explainers

Hands-on activities and games

Experiments with real AI tools

Personal audits and self-assessments

Scenarios and real-world examples

Quizzes with instant feedback

Why choose this course?

Build better judgment

AI tools change quickly. Learn when AI is useful, when its output needs checking, and when a task is better handled without it.

Test before you trust

Experiment with real AI systems, find where they fail, identify hallucinations, and practise safer ways of working with them.

Understand the output

See how data, tokens, next-word prediction, and context windows shape what AI can and cannot do, without coding or mathematics.

Build lasting AI fluency

Develop a repeatable way to evaluate new AI tools and capabilities, rather than having to relearn everything each time the technology changes.

Developed with expert AI knowledge

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AI Fundamentals