AI for everyone: understand AI without being an expert
An online course for people with no technical background. Six modules, about 10–15 hours, at your own pace.
Course overview
What AI is, where it already sits in daily life, and the ethical questions that come with it. Short videos, quizzes and case studies — no code.
- Audience: individuals with no technical background
- Format: online, self-paced — short videos, quizzes, case studies
- Length: 6 modules, about 10–15 hours
- Price: €199, launch €99 for the first 100 enrolments (as on the French page)
- Platform: Teachable or similar, lifetime access and updates
Six modules
What is artificial intelligence?
Weak vs strong AI, a short history, and the assistants and recommendations you already use. A true/false quiz on common myths.
- Definitions
- A short history
- Everyday examples
What is artificial intelligence?
Weak vs strong AI, a short history, and the assistants and recommendations you already use. A true/false quiz on common myths.
How AI works — without the maths
Algorithms, data, machine learning. Analogies first (teaching a child to recognise animals), then a simple view of deep learning. Case: how Spotify recommends music.
- Data and learning
- Simple analogies
- Spotify case
How AI works — without the maths
Algorithms, data, machine learning. Analogies first (teaching a child to recognise animals), then a simple view of deep learning. Case: how Spotify recommends music.
AI in health, finance, marketing, transport
Diagnosis support, fraud detection, targeted ads, chatbots, route planning. A matching quiz across sectors.
- Health and finance
- Marketing and chatbots
- Transport
AI in health, finance, marketing, transport
Diagnosis support, fraud detection, targeted ads, chatbots, route planning. A matching quiz across sectors.
AI and the future of work
What gets automated, which skills to grow, jobs that are already changing. Case: radiology.
- Automation and new roles
- Skills to keep
- A real job case
AI and the future of work
What gets automated, which skills to grow, jobs that are already changing. Case: radiology.
Ethics
Bias, privacy, explainability, and who is responsible when a system is wrong. A debate on a real case (self-driving cars).
- Bias and privacy
- Explainability
- Responsibility
Ethics
Bias, privacy, explainability, and who is responsible when a system is wrong. A debate on a real case (self-driving cars).
Society: opportunities and risks
Climate and health on one side; surveillance, disinformation and concentrated power on the other. How to stay ready. Final quiz.
- Global problems AI can help
- Surveillance and disinformation
- Final recap
Society: opportunities and risks
Climate and health on one side; surveillance, disinformation and concentrated power on the other. How to stay ready. Final quiz.
How each module is built
- Video: 15–20 minutes, with simple visuals
- Interactive quiz: 5–10 questions
- A concrete case for that module
- A discussion space with trainers and other participants
Suggested pace: one module a week. A completion certificate after all modules and quizzes. Visual notes, accessible reading (including “AI for Dummies”), and bonus expert interviews.
Training desk: +33 6 50 01 24 45 · contact@cybernecs.com