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  1. Open Education Faculty
  2. Artificial Intelligence-Powered Coding
  3. About the Programme
Last Updated: 21/09/2026

The Associate Degree Program in AI-Assisted Coding aims to educate qualified professionals equipped with the AI-assisted software development skills required by the rapidly digitalizing business world.

Students enrolled in the program will have the opportunity to learn large language models and generative artificial intelligence applications alongside up-to-date software technologies. In addition to becoming technically competent individuals, students are expected to develop into professionals who are conscious of data privacy, AI ethics, and social impact, and who embrace a vision of responsible technology development.

The main competencies intended to be gained within the scope of the program are as follows:

  • Building a foundation in algorithmic thinking and problem solving using the Python programming language,
  • Effectively using current technologies such as large language models (LLMs), agent-based systems, and generative AI applications,
  • Developing software by leveraging AI-assisted techniques and cloud technologies,
  • Designing projects that integrate web applications, database systems, and cloud technologies with AI services,
  • Analyzing generative AI applications in various sectoral scenarios and producing appropriate solutions,
  • Carrying out software testing and quality assurance processes with AI support.

Admission to the programme is based on the relevant higher education legislation and the central placement procedures administered by the Centre for Assessment, Selection and Placement (ÖSYM). Candidates who are offered a place in the programme must complete their registration within the deadlines announced in the University's academic calendar and registration announcements, in accordance with the applicable legislation. To complete final registration, candidates must satisfy all general and programme-specific admission requirements. Admission through horizontal transfer is conducted in accordance with the relevant legislation and the principles established by the relevant academic unit. The application and admission procedures for international students are carried out in accordance with the applicable legislation.

Recognition of prior learning is carried out in accordance with the relevant higher education legislation, the University's regulations governing education, examinations and assessment, and the institutional principles for exemption and credit transfer. Students may apply, within the specified deadlines, for exemption and credit transfer based on courses successfully completed at another higher education institution or on equivalent prior learning. Applications are evaluated by the relevant board or commission with due consideration of course content, credit/ECTS values, grades obtained, and their compatibility with the curriculum and learning outcomes of the relevant programme.

No content has been provided.

The programme is delivered in open and distance mode. Students are enrolled on the programme as students. Teaching and learning activities are conducted in accordance with the programme curriculum, including the semester structure, scheduled class hours, practical components, and, where applicable, online learning environments.

Examinations and course passing are governed by the Anadolu University Open Education Faculty Regulations on Education and Examinations, the Implementation Principles for Education and Examinations in the Open Education, Faculty, and the Principles of the Student Evaluation System in the Open Education Faculty.

Through the examination page, you can find detailed information on;

  • Examination procedures and organisation
  • Examination dates
  • Required documents and examination rules
  • Examination durations
  • Publication of exam questions and answers
  • Announcement of results
  • Appeals procedures for examination results

Further details on assessment methods and course passing criteria are available on the Student Evaluation System page.


Grade Coefficient
AA 4,0
AB 3,7
BA 3,3
BB 3,0
BC 2,7
CB 2,3
CC 2,0
CD 1,7
DC 1,3
DD 1,0
FF 0,0

A student is required to successfully complete the designated program of courses meet a minimum of 120 ECTS credit requirement and have a minimum GPA of 2.00/4.00 and no FF, DZ or YZ grades.

To be awarded an Associate Degree, students must successfully complete all compulsory and elective courses specified in the curriculum of the programme in which they are enrolled, together with any required internship, practical training, project, or other academic requirements. To qualify for graduation, students must successfully complete at least 120 ECTS credits, have no failed courses, achieve the minimum cumulative grade point average (CGPA) specified in the relevant regulations (at least 2.00 on a 4.00 scale), and fulfil all other graduation requirements prescribed by the programme.

Students who successfully fulfil all programme requirements are awarded an Associate Degree Diploma in Artificial Intelligence-Powered Coding Graduates obtain a Level 5 (Associate Degree) qualification within the Turkish Qualifications Framework (TQF).

The transformative impact of artificial intelligence technologies across all sectors has significantly increased the demand for software teams and intermediate

Artificial intelligence technologies are rapidly spreading across every sector of the 21st-century business world and have a transformative impact. AI-assisted software solutions, automation systems, and intelligent applications are utilized in nearly every field. This makes a qualified workforce with AI-assisted coding skills one of the most sought-after professional profiles of our time.

Graduates who successfully complete the Associate Degree Program in AI-Assisted Coding may be employed;

  • In software companies, as software developers who effectively use AI tools,
  • In banking, insurance, and financial technology (fintech) institutions, as AI-assisted automation and process developers,
  • In healthcare institutions, retail chains, and logistics companies, as AI-assisted application developers,
  • In digital transformation teams, as professionals familiar with the philosophy, ethics, and implementation principles of artificial intelligence, contributing to organizations' AI transformation processes,
  • In public institutions and organizations, as software developers in digital transformation and AI implementation processes.

In addition, graduates may establish their own technology ventures using AI tools within the startup ecosystem, or provide software development and AI consultancy services as freelancers.

professionals capable of using AI tools. Graduates of this program will have employment opportunities in a wide range of areas, including:

  • Software Companies: As software developers, testing specialists, and code generation assistants using AI-supported tools
  • Finance, Banking, and FinTech Sector: As developers of automation systems and AI-supported financial processes
  • Healthcare, Retail, and Logistics Fields: In the development of sector-specific intelligence applications that increase efficiency
  • Digital Transformation Teams of Public and Private Institutions: As technology professionals managing AI implementation processes with data security and ethical principles
  • Entrepreneurship Ecosystem: By establishing their own technology startups or working independently (freelance) as AI consultants/developers in national and international projects

Graduates of Associate Degree programmes may apply for admission to Bachelor's Degree programmes through the Vertical Transfer Examination (DGS), in accordance with the provisions of the Regulation on the Continuation of Bachelor's Education for Graduates of Vocational Schools and Open Education Associate Degree Programmes and the relevant higher education legislation.

Program Academic Coordinator
ASSOC. PROF. DR. ÖZER ÇELİK

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