Artificial Intelligence Operator

Artificial Intelligence Operator

Welcome to the Artificial Intelligence Operations Program

Welcome to the Artificial Intelligence Operations program, located at the very heart of digital transformation! You are about to join the ranks of qualified professionals who not only closely follow the technologies of the future but also actively use, integrate, and manage the operational processes of these systems. We wish you an education filled with success!

General Introduction to the Program

Artificial Intelligence Operations is a two-year, dynamic, application-oriented associate degree program that accepts students based on their Basic Proficiency Test (TYT) score. The 3+1 Education Model is applied to prepare students for the digital business world in the most equipped way possible:

First 3 Semesters (Education-Focused): Theoretical and laboratory-supported applied courses can be taken in current fields such as Python programming, data science, machine learning, deep learning, large language models, and generative artificial intelligence.

Last 1 Semester (Industry-Focused): Students gain direct work experience by working full-time in the industry as part of “Workplace Training.”

The main goal of the program is to contribute to Turkey's digital transformation by training qualified AI technicians who can carry out AI operational processes, possess analytical thinking skills, and are strictly committed to ethical principles such as data privacy.

Vision

To be a leading program known for its strong application-oriented education in artificial intelligence and data-driven technologies, training its graduates as innovative and responsible professionals who create value in the digital business world.

Mission

To contribute to Turkey's digital transformation by training qualified AI operators who understand, apply, and can use artificial intelligence technologies in line with ethical principles, possess analytical thinking skills, and meet the needs of the industry.

Highlights and Distinguishing Features
  • Current and Dynamic Curriculum: The curriculum focuses on current fields such as large language models, generative artificial intelligence, MLOps, natural language processing, and cloud-based AI solutions, and is continuously developed in line with industry developments.
  • Flexible Elective Course Structure: A personalized learning experience can be provided through an elective course structure that can be shaped according to students' interests and career goals.
  • Ethical and Responsible AI Approach: An educational approach centered on ethical principles, data privacy, and responsible AI use can be adopted.
  • Strong Application Culture: An application-oriented educational culture supported by laboratory applications, project work, competitions, and industry events can be experienced.
  • Interdisciplinary Perspective: An interdisciplinary perspective aimed at understanding AI applications in different sectors can be gained.
  • Strong Academic Staff: Courses are conducted by an academic staff expert in their fields, enabling comprehensive education in different disciplines of information technology.
  • International Education Opportunities: Through the Erasmus+ exchange program, students can continue part of their education abroad and gain international academic and cultural experience.
  • Career and Academic Development: Professional and academic development can be supported through advisory services offered by the Career Center, technical events, seminars, and the opportunity to complete a bachelor's degree through the Vertical Transfer Examination (DGS).
  • Modern Educational Infrastructure: Practical courses are conducted in modern computer laboratories using current software tools, supporting students in effectively developing their professional skills.
Scope of the Educational Program

The Artificial Intelligence Operations program aims for students to undergo an application-oriented and versatile educational process in which they master current software technologies and AI literature.

Within the program, students can:

  • develop algorithmic thinking and applications using the Python programming language,
  • carry out data collection, cleaning, transformation, analysis, and reporting processes,
  • grasp the fundamental working principles of machine learning and deep learning models,
  • effectively use large language models and generative AI tools,
  • develop natural language processing and text-based AI applications,
  • manage database systems, cloud computing, and AI operational processes,
  • adopt AI ethics, data privacy, and responsible technology use,
  • carry out teamwork, project management, and the reporting of technical results.
Applied Education Process

In the program, theoretical knowledge can be supported by an application-oriented educational approach. Starting from the third semester, students can gain experience in a real work environment by working at leading institutions and organizations in the industry within the scope of 70 working days of Workplace Vocational Training.

  • Active participation in software development projects is possible.
  • Different technologies and business processes can be closely learned.
  • Experience in teamwork and professional work culture can be gained.
  • While the experience gained contributes to academic success, students can have the opportunity to receive job offers from the institutions where they interned before graduation.
Practice, Laboratory, Project, and Industry Collaborations
  • Professional skills can be developed through practical courses conducted in modern computer laboratories.
  • Individual and team projects addressing real-life problems can be carried out.
  • Software development processes can be experienced through a project-based learning approach.
  • Experience working alongside industry professionals can be gained through the Workplace Vocational Training application.
  • Professional development can be supported through technical events and seminars held with industry representatives.
Career Fields After Graduation

The spread of AI technologies in finance, e-commerce, healthcare, manufacturing, telecommunications, education, the defense industry, and software sectors increases the need for qualified technicians to take part in the operational processes of these systems. Graduates of the program can work in various sectors with data- and AI-focused business processes.

  • Artificial Intelligence Operator / Assistant Specialist
  • Data Labeling and Preprocessing Specialist
  • Data Analyst Assistant
  • Prompt Engineering and Generative AI Applications Support Specialist
  • MLOps Support Staff
  • NLP and Smart Assistant Development Support Specialist
  • Artificial Intelligence Project Assistant
  • AI-supported business process application and operations staff
Vertical Transfer Opportunities (DGS)

Graduates of the Artificial Intelligence Operations Program can continue their academic education by transferring to four-year bachelor's degree programs according to their success in the Vertical Transfer Examination (DGS). This gives them the opportunity to both advance their professional knowledge and skills and expand their career opportunities.

Our graduates can transfer to the following bachelor's degree programs within the scope of DGS:

  • Computer Engineering
  • Software Engineering
  • Information Systems Engineering
  • Computer Science
  • Computer Technology and Information Systems
  • Management Information Systems
  • Computer and Instructional Technology Teaching
  • Mathematics and Computer Science (at relevant universities)
  • Information Security Technology (at relevant universities)
  • Digital Game Design (at relevant universities and depending on the current DGS guide)
International Exchange Programs

Through relationships established with universities abroad, our students have the opportunity to benefit from exchange programs and international scholarships. Our students especially make active use of the Erasmus+ program.

Our program's Erasmus+ agreements are as follows:

  • Riga Technical University
  • Utenos Kolegija
  • University of Oradea
  • Katowice Institute of Information Technologies
  • Lublin University of Technology

Click here for detailed information about Erasmus+.

Double Major and Minor Opportunities

Within the framework of bilateral agreements, students can benefit from the opportunity to pursue double majors and minors with different departments of the university.

Click here for the Double Major and Minor Program Directive.

Research Opportunities

Students interested in academic research can take part in faculty members' research projects, either voluntarily or for pay, or apply for TÜBİTAK support under the guidance of faculty members.

Student Communities

Both technical and social skills can be developed through the YÖNTEK Club and various other student communities, with active participation in interdisciplinary events.

Events

Current developments in the field of artificial intelligence can be followed through industry meetings, seminars, and conferences, and professional networks can be developed by communicating with industry representatives.

Language of Instruction and Preparatory Program

The language of instruction of the program is Turkish, and the English courses in the curriculum provide a basic infrastructure for the professional use of English.

Program Learning Outcomes
  • Can possess and effectively use fundamental, up-to-date, application-oriented knowledge related to their profession.
  • Can have knowledge of occupational health and safety and quality processes.
  • Can effectively use information technologies related to their profession (software, programs, animation, etc.).
  • Can independently evaluate professional problems and issues with an analytical and critical approach and offer solution proposals.
  • Can present their ideas, at the level of knowledge and skills, through written and oral communication, expressing themselves clearly.
  • Can take responsibility as a team member to solve complex and unforeseen problems encountered in applications related to their field.
  • Can plan a career and embrace a lifelong learning approach.
  • Can possess social, scientific, cultural, and ethical values in the stages of collecting, evaluating, and announcing the results of data related to their field.
  • Can communicate in writing and verbally on topics related to their field with at least A2 level English proficiency according to the Common European Framework of Reference for Languages (CEFR) criteria.
  • Can have awareness within the framework of the United Nations Sustainable Development Goals.
  • Can have awareness of digitalization, environmental consciousness, green transformation, and sustainability.
  • Can explain fundamental concepts related to artificial intelligence.
  • Can carry out data preparation and preprocessing processes for artificial intelligence applications.
  • Can apply artificial intelligence model building and execution processes.
  • Can monitor the performance of artificial intelligence models and report the results.
  • Can carry out the use, monitoring, and integration processes of artificial intelligence systems.

   

This content was updated on 27/07/2026.

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