Training Course in Artificial Intelligence for Sustainability

General Objectives of the Course

- Introduce fundamental AI concepts and their main areas of application (classification, prediction, clustering, etc.).
- Present AI tools with accessible interfaces (e.g. no-code/low-code platforms, graphical libraries, online solutions) that enable practical data analysis.
- Present an overview of the application of AI for sustainability, especially in the context of sustainable cities, circular economy, energy transition and operations management.
- Discuss practical examples of the application of AI for sustainability.

Admission Requirements

Young people and adults who have a degree or are currently attending a degree course in non-STEAM areas.

Candidates should check the admission requirements available on this site, in addition to the information provided here.

Mode of Study

B-learning

Teaching / Evaluation language(s)

Portuguese

Examination Regulations, Assessment and Grading

Qualitative Evaluation: in a scale of Approved/Not Approved.

Learning Objectives and Intended Skills

The student will be able to:
- Recognise the main tasks and concepts of AI, understanding where each can be applied.
-Use user-friendly AI tools for data input classification, regression and clustering algorithms.
-Identify advantages in using AI to solve sustainability problems, especially in the context of sustainable cities, circular economy, energy transition and operations management.
-Carry out small exploratory AI projects applied to sustainability problems, identifying opportunities and limitations of tools.

Qualification Requirements and Regulations

Academic Regulation of the University of Coimbra

Study Programme

Artificial Intelligence for Sustainability

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Course Type
Non Degree Course

Qualification Awarded: Diploma/Certificate

Duration: 1 Semester(s)

ECTS Credits: 6.0

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Applications

Call for Applications

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