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Master · 2 years

Artificial intelligence

Develop and research intelligent systems for science, business, and industry. The master's program combines deep learning, IoT, robotics, computer vision, and socially responsible AI.

Language
English
Tuition
4,020,000 ₸

About the program

Create new intelligent systems

Learn to develop models, integrate artificial intelligence with devices, and explore its application in real-world situations. The program covers robotics, multimedia retrieval, biomedical imaging, cognitive technologies, and AI ethics.

What you will learn

  • Develop intelligent systems
  • Design deep learning models
  • Apply reinforcement learning
  • Integrate AI with IoT systems
  • Create solutions for robotics
  • Analyze images and multimedia
  • Apply optimization and game theory
  • Assessing the social impacts of AI

Учебный план

Что вы будете изучать

From deep machine learning to autonomous systems, robotics, cognitive technologies, and AI research projects.

1 year

Intelligent models

  1. 01 Computational intelligence
  2. 02 Deep learning
  3. 03 Symbolic artificial intelligence
  4. 04 Evolutionary artificial intelligence
  5. 05 Optimization methods
  6. 06 Game theory
2 year

Autonomous and applied systems

  1. 01 Reinforcement learning
  2. 02 Deep reinforcement learning
  3. 03 Internet of Things and Artificial Intelligence
  4. 04 Robotics and intelligent machines
  5. 05 Computer vision
  6. 06 Artificial Intelligence for Social Good
  7. 07 Applied directions
  8. 08 Biomedical imaging
  9. 09 Search for multimedia information
  10. 10 Cognitive technologies
  11. 11 Sustainable development
  12. 12 Healthcare and education
  13. 13 Ethics and Social Responsibility of AI

Career

Where graduates work

Graduates develop artificial intelligence applications, create data processing systems, and engage in research and teaching. Graduates of the Master's program in Artificial Intelligence can work in IT companies, research centers, universities, financial and telecommunications organizations, industry, healthcare, government agencies, and technology startups. Teacher of disciplines in artificial intelligence, machine learning, and programming. Graduates will be able to design and implement intelligent systems, develop and research machine and deep learning models, solve computer vision and natural language processing problems, manage AI projects, and conduct scientific research. The training received also allows them to continue their studies in doctoral studies and build an academic career.

  • AI Engineer
  • Machine Learning Engineer
  • Deep Learning Engineer
  • Robotics Engineer
  • Computer Vision Engineer
  • AI Researcher
  • Research Fellow
  • University lecturer
  • AI Specialist
  • AI Engineer
  • Machine Learning Engineer
  • Deep Learning Engineer
  • Generative AI Engineer
  • NLP Engineer
  • Computer Vision Engineer
  • developer of intelligent and autonomous systems
  • AI Solutions Architect
  • MLOps Engineer
  • specialist in intelligent automation of business processes
  • Project Manager in the field of artificial intelligence
  • researcher and scientist in the field of artificial intelligence

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