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  1. Yunus Emre Health Services Vocational School
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  5. Artificial Intelligence Applications in the European Union and Vocational Education I
  6. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
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  • Learning Outcomes & Program Qualifications
Last Updated: 05/04/2026

Code - Course Title Course Type Laboratory + Practice ECTS
YPZ203 - Artificial Intelligence Applications in the European Union and Vocational Education I III. SEMESTER 2 +1 3.0
Language of Instruction Türkçe
Course Type Area Elective Courses
Course Instructor(s) PROF. DR. HAKAN DAL
Mode of Delivery Face to Face
Place of Delivery
Used Educational Platforms
Prerequisites This course has no prerequisites or co-requisites.
Courses Recomended -
Recommended Resources 1. European Commission (2021). Digital Education Action Plan (2021–2027)2. European Commission. European Qualifications Framework (EQF).3. OECD (2021). AI and the Future of Skills.4. OpenAI – ChatGPT Documentation, 5. Google – Teachable Machine6. Microsoft – AI Learning Resources7. Canva AI, Runway ML, Midjourney (görsel/video üretim araçları)8. CEDEFOP (2020). European Skills Agenda.9. World Economic Forum (2023). Future of Jobs Report.10. European Training Foundation (ETF). Skills and VET Development Reports
Work Placement -
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 The Historical Development and Founding Purpose of the European Union
Week - 2 European Union Institutions and Decision-Making Mechanism
Week - 3 Introduction to Artificial Intelligence and Ethical Principles
Week - 4 Types and Applications of Artificial Intelligence
Week - 5 No-Code AI Tools
Week - 6 Prompt Engineering I
Week - 7 Prompt Engineering II
Week - 8 Artificial Intelligence that Generates Visuals
Week - 9 Artificial Intelligence Applications I
Week - 10 Artificial Intelligence Applications II
Week - 11 Artificial Intelligence in Career Scenarios I
Week - 12 Artificial Intelligence in Career Scenarios II
Week - 13 Project Development I
Week - 14 Project Development II

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
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