EQF level: 7
Developed by: Athens University of Economy and Business
Course Duration: 78–91 hours/13 weeks
Format: Online (Synchronous)
Language: English

This advanced course explores how digital transformation – particularly through artificial intelligence (AI) and machine learning (ML) – can accelerate sustainability goals in the built environment. By analyzing real-world cases, focusing on practical AI/ML techniques (supervised vs. unsupervised learning), and introducing basic NLP (Transformers, vector databases), participants will gain the multidisciplinary skill set required to excel in sustainability-focused digital projects.

SKILLS:

• Data wrangling & exploratory analysis (Python/R) 
• Supervised & unsupervised model design
• Introductory NLP prompt engineering & vector DB querying  
• Sustainability impact appraisal & stakeholder communication 
• Team-based agile project management 

 SYLLABUS:

Annex-12.2.-Digitalization_Syllabus

CERTIFICATE:

Annex-12.1.-Digitalization_Certificate

CERTIFICATION SCHEME FOR INDIVIDUALS:

Ind.cert_.Digitalization-expert-in-Sustainability