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Undergraduate · 3 years

Artificial intelligence

Design and implement intelligent systems for industry, medicine, finance, and science. The program combines mathematics, machine learning, computer vision, NLP, and robotics.

Language
English
Tuition
from 1,479,000 ₸

About the program

Create intelligent systems, don't just use them

Learn to develop artificial intelligence models, train neural networks, and implement AI solutions in real-world products. You'll master deep learning, language and image processing, robotics, and modern multimodal systems.

What you will learn

  • Develop machine learning models
  • Design and train neural networks
  • Create computer vision systems
  • Natural language processing
  • Apply reinforcement learning
  • Develop solutions for robotics
  • Design multi-agent AI systems
  • Assessing the ethics and safety of AI

Учебный план

Что вы будете изучать

From mathematics and programming fundamentals to deep learning, computer vision, robotics, and multimodal systems.

1 year

Math and code

  1. 01 Linear algebra
  2. 02 Probability theory
  3. 03 Statistics
  4. 04 Basics of programming
2 year

Machine learning

  1. 01 Optimization methods
  2. 02 Machine learning
  3. 03 Basics of Neural Networks
  4. 04 Intelligent systems
3 year

Deep learning

  1. 01 Deep Learning 1 and 2
  2. 02 Natural language processing
  3. 03 Image processing
  4. 04 Computer vision
  5. 05 Reinforcement learning
  6. 06 Robotics
  7. 07 Multi-agent systems
  8. 08 Ethics of Artificial Intelligence

Career

Where graduates work

Graduates create artificial intelligence applications, software, and big data processing systems. Graduates of the Artificial Intelligence educational program can work in IT companies, financial institutions, telecommunications, industry, healthcare, education, government agencies, and research centers. The knowledge they gain allows graduates to develop, train, and implement machine and deep learning models, create intelligent systems for processing text, images, and big data, automate processes, and participate in research projects in the field of artificial intelligence.

  • AI Engineer
  • Machine Learning Engineer
  • Deep Learning Engineer
  • Computer Vision Engineer
  • NLP Engineer
  • Robotics Engineer
  • AI Application Developer
  • Data Scientist
  • AI Specialist
  • Machine Learning Engineer
  • Deep Learning Engineer
  • NLP Engineer
  • Computer Vision Engineer
  • Generative AI Engineer
  • Data Analyst
  • Data Scientist
  • Data Engineer
  • developer of intelligent software systems
  • AI Solutions Implementation and Support Engineer
  • developer of recommendation and predictive systems
  • researcher in the field of artificial intelligence.

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