Multi-model artificial intelligence systems
Description: The course explores methods and technologies for comprehensive analysis and processing of data from various sources such as text, audio, images, and video. Students learn to develop integrated systems capable of processing and interpreting multimodal data to solve a variety of tasks.
Amount of credits: 5
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 15 |
| Practical works | 15 |
| Laboratory works | 15 |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 30 |
| SAW (Student autonomous work) | 75 |
| Form of final control | Exam |
| Final assessment method |
Component: Component by selection
Cycle: Base disciplines
