Artificial Intelligence Operator
Associate	TR-NQF-HE: Level 5	QF-EHEA: Short Cycle	EQF-LLL: Level 5

Program Profile

Artificial intelligence (AI), the most disruptive technological paradigm of the twenty-first century, has rapidly moved from research labs into industry, finance, healthcare, and creative sectors—creating a global need for new, previously undefined competencies. While engineers build system architectures, the labor market increasingly demands “technical interface” professionals who ensure data flow continuity, monitor model performance, maintain ethical boundaries, and oversee the daily operation of AI systems. The Artificial Intelligence Operator Program at Istanbul Okan University Vocational School is a pioneering initiative developed to meet this need and is aligned with the Turkish Higher Education Qualifications Framework (TYYÇ) Level 5.1.

Unlike traditional “Computer Programming” or “Software Development” curricula focused on deterministic coding, this program is built around managing data-driven, probabilistic, and continuously evolving AI systems. Its core philosophy is to teach students not only how to write code but also how to “think with data,” “train models,” and “interact with AI” as a dynamic process that must be monitored and guided.

Curriculum Structure 1 offers a comprehensive pathway covering fundamental data science, deep learning, natural language processing, and robotic system integration—forming the “Full-Stack AI Technician” profile demanded by industry. Early courses such as “Introduction to Artificial Intelligence” (MYZ0101) and “Introduction to Data Science” (MYZ0103) establish essential terminology and conceptual grounding from the first semester.

A defining feature of the program is its interpretation of “operatorship.” Here, the operator is not a passive monitor but an active technical leader who optimizes system performance, detects anomalies, and addresses model drift. Industry reports highlight a growing need for professionals who can maintain live AI systems, ensure data quality, and validate outputs—not just develop algorithms. Supported by the 3+1 education model, the program integrates theory with field experience and aims to produce job-ready graduates capable of interpreting algorithmic decisions, managing AI responsibly, and making these systems transparent and human-centered.