Program Introduction
The Artificial Intelligence Operator Program is a two-year associate degree program designed to train qualified technicians who can understand, use, monitor, and take an active role in the implementation processes of artificial intelligence technologies, which are at the center of digital transformation. The program offers an applied educational approach covering current fields such as Python programming, data analytics, machine learning, deep learning, natural language processing, large language models, database systems, and responsible use of artificial intelligence.
In addition to theoretical knowledge, students gain the competencies required to work in the operational processes of artificial intelligence systems through laboratory practices, project-based studies, and workplace experience. The program focuses on data preparation, model use, integration of AI tools, and the execution of AI-supported business processes needed by technology-driven sectors.
Education Model
The Artificial Intelligence Operator Program is a two-year associate degree program that admits students through the Basic Proficiency Test (TYT). The program is carried out with the 3+1 Education Model.
- For 3 semesters, students take theoretical and applied courses in areas such as programming, data science, machine learning, deep learning, generative artificial intelligence, large language models, and data management.
- For 1 semester, students gain direct sectoral experience through Workplace Practice Training.
- Through elective courses, students can deepen their knowledge in areas such as natural language processing, image processing, cloud-based AI solutions, MLOps, AI ethics, the Internet of Things, and project management.
Mission
To train qualified artificial intelligence operators who can understand and apply artificial intelligence technologies in line with ethical principles, possess analytical thinking skills, and contribute to Türkiye’s digital transformation by meeting the needs of the sector.
Vision
To become a leading program recognized for its strong practice-oriented education in artificial intelligence and data-driven technologies, and to position its graduates as innovative, responsible professionals who create value in the digital business world.
What Do Students Learn in the Program?
- Algorithmic thinking and application development with Python programming
- Data collection, cleaning, transformation, analysis, and reporting
- Fundamental working principles of machine learning and deep learning models
- Effective use of large language models and generative AI tools
- Natural language processing and text-based AI applications
- Database systems, cloud computing, and AI operations processes
- AI ethics, data privacy, and responsible technology use
- Teamwork, project management, and reporting of technical outputs
Distinctive Features of the Program
- Opportunity to gain sectoral experience before graduation through the 3+1 applied education model
- A dynamic curriculum focused on current fields such as large language models, generative AI, MLOps, natural language processing, and cloud-based AI solutions
- Elective course structure that can be shaped according to students’ areas of interest
- An educational approach that places ethics, data privacy, and responsible AI use at the center
- An application-oriented culture supported by laboratory practices, project work, competitions, and sectoral events
- An interdisciplinary perspective aimed at understanding AI applications across different sectors
Program Learning Outcomes
- Explains the basic concepts of artificial intelligence, data science, machine learning, deep learning, natural language processing, database systems, and large language models.
- Develops applications for artificial intelligence and data science problems using Python programming and relevant libraries.
- Carries out data preparation, preprocessing, model building, model evaluation, and reporting processes.
- Takes part in the use, monitoring, and integration processes of artificial intelligence systems.
- Communicates technical findings clearly in written and oral form.
- Acts with ethical, legal, social, and scientific responsibility in professional practices.
Career Opportunities After Graduation
As artificial intelligence technologies become increasingly widespread in finance, e-commerce, healthcare, manufacturing, telecommunications, education, defense industries, and software sectors, the need for qualified technicians who can take part in the operational processes of these systems continues to grow. Graduates of the program can work in various sectors where data- and AI-driven business processes are used.
- Artificial Intelligence Operator / Assistant Specialist
- Data Labeling and Preprocessing Specialist
- Assistant Data Analyst
- Prompt and Generative AI Applications Support Specialist
- MLOps Support Staff
- NLP and Intelligent Assistant Development Support Specialist
- Artificial Intelligence Project Assistant
- AI-supported business process implementation and operations staff
This content was updated on 09/07/2026.