ҚазҰАЗУ | КазНАИУ | KazNARU
ARTIFICIAL INTELLIGENCE

The goal of the educational program is to train competitive, highly qualified specialists in the field of artificial intelligence who possess deep foundational knowledge in mathematics, computer science, and AI technologies, strong theoretical preparation, modern practical skills, and the ability for continuous professional development.

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List of qualifications and positions

1) Artificial Intelligence Engineer
 2) Artificial Intelligence Specialist
 

Field of professional activity

The field of professional activity includes the research, design, development, implementation, and maintenance of intelligent systems and technologies based on machine learning, big data processing, computer vision, natural language processing, robotics, and neural network architectures.

Scope and object of professional activity

The field of professional activity of graduates includes information technology, the development and implementation of intelligent systems, digital transformation, automation, and optimization of processes based on artificial intelligence across various sectors of the economy, science, engineering, and social domains.
The objects of professional activity include intelligent hardware-software systems, machine learning algorithms and models, neural and expert systems, technologies for processing and analyzing big data, images, texts, and speech, as well as robotic and cyber-physical systems, and digital platforms and services based on artificial intelligence methods.
 

Functions of professional activity

The professional functions of graduates include the analysis and formalization of tasks, development, modeling, and implementation of intelligent systems, software realization of machine learning algorithms, data processing and interpretation, as well as testing and maintenance of AI solutions in applied domains.

Types of professional activity

1.Design and engineering – development of architectures and components of intelligent systems.
2.Research – conducting applied and fundamental research in the field of artificial intelligence.
3.Production and technological – implementation of AI technologies in production and digital processes.
4.Analytical – analysis of data, processes, and systems using AI methods.
5.Operational – maintenance, configuration, and optimization of functioning intelligent systems.
6.Software engineering – development of software solutions based on AI models and algorithms.
7.Organizational and managerial – participation in managing AI-related projects and teams.
8.Educational – teaching, training, and consulting in the field of artificial intelligence.
 

Have skills

Graduates should have the skills to analyze and formalize applied tasks, develop and implement machine learning algorithms, design and program intelligent systems, process and interpret large volumes of data, apply AI methods in various domains, and support and evaluate the effectiveness of AI-based solutions.

Curriculum of the educational program

МОП ИИ 2025-2029.docx

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