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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

Start date

Start anytime

Price

CHF 90

Ideal candidate profiles

Designed for anyone who wants practical AI fluency without a technical background. No prior AI experience, coding, or mathematics is required.
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Professionals & knowledge workers

Use AI more effectively at work, spot unreliable outputs, and decide where it adds real value.

Managers, educators & L&D professionals

Make informed AI decisions, explain its limits, and support responsible use.

Students, career changers & beginners

Build practical AI fluency for further study, a new role, or a changing workplace.

Highlights of the course

Ready to use AI with better judgment?

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Understand AI fundamentals

See how AI, machine learning, deep learning, and generative AI relate, and how models learn from data.

Decide where AI fits in real work

Distinguish augmentation from automation and identify where AI adds real value, where it does not, and why.

Look inside LLMs

Understand tokens, context windows, and next-word prediction, and how they shape AI responses.

Communicate effectively with AI

Turn vague requests into stronger prompts and work across text, images, audio, video, and multimodal tools.

Spot unreliable output

Recognize hallucinations, bias, and misplaced confidence, verify important results, and protect sensitive information.

Understand agents and autonomy

See how agents differ from chatbots, judge appropriate levels of autonomy, and evaluate new AI capabilities.

Developed with expert AI knowledge

Ayaz Karimov

Head of Learning & Products, Swiss Cyber Institute
Ayaz is the Head of Learning & Products at Swiss Cyber Institute. He also holds a PhD in Information Technology at the University of Jyväskylä, Finland, where he worked within the Human and Machine based Intelligence in Learning (HUMBLE) research group. He designs and delivers lectures for international bodies including UNDP, the International Telecommunication Union, and UN Women.

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