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EN
MOOCs for Teachers

Digital Homo Ludens

When play becomes learning, innovation, and the future

EN
MOOCs for Teachers

Storytelling for education and training: using stories to engage, communicate, and innovate

Storytelling as a tool for educational communication: from traditional practices to the possibilities offered by digital media and artificial intelligence.

FR
MOOCs for Bachelor of science

Les principes de la mesure

De la théorie à la pratique pour garantir des résultats de mesure fiables et des décisions éclairées

EN
MOOCs for Citizens

Circular skills economy

A journey of awareness, method, and collective action

EN
MOOCs for Bachelor of science

GraphAI: Python for Complex Networks

Analyzing complex networks and developing machine learning and graph neural network models with Python and NetworkX, from static graphs to temporal networks and responsible AI.

EN
MOOCs for Bachelor of science

Decode data: a hands-on journey to data literacy

Reading, cleaning, visualizing, and interpreting data with Python: a practical journey from raw tables to informed decisions, with no prior programming or statistics knowledge required.

EN
MOOCs for Professionals

Human-Computer Interaction (HCI)

MOOC helps participants understand how to design and evaluate interactive systems, combining HCI fundamentals with emerging AI-driven interactions.

EN
MOOCs for Professionals

Artificial Intelligence and Marketing

This MOOC equips participants with the knowledge to understand, evaluate, and apply AI technologies across marketing and business functions, enabling data-driven decision-making and responsible AI adoption.

EN
MOOCs for Professionals

Artificial Intelligence for Business: From Idea to Implementation

This MOOC teaches participants how to strategically apply AI as part of a broader digital innovation journey, transforming promising opportunities into practical, value-generating organizational solutions.

EN
MOOCs for Bachelor of science

Artificial Intelligence and Effective Communication in Educational Contexts

Criteria and good practices for integrating artificial intelligence into university communication: clarity, consistency, inclusion and institutional responsibility.