- Course description
The following topics will be covered:
- • Introduction to Artificial Intelligence and Its Practical Applications;
- • Basics of Machine Learning Theory for Beginners;
- • Prompt Engineering Techniques for Effective AI Use;
- • Image Generation and Video Creation Using AI Tools;
- • Introduction to Python for Non-Programmers;
- • Solving Coding Problems with AI Assistance;
- • Data Visualization Techniques with AI Tools;
- • Automating Repetitive Tasks with AI;
- • Practical Applications of Popular AI Tools;
- • Introduction to Data, Datasets, and Databases for AI Use;
- • Ethics of AI and Responsible AI Usage;
- • Overview of Neural Networks for Beginners;
- • Final Project Presentation: Applying AI Tools to Real-World Problems.
The detailed course description for ECTS credits transfer at your home university:
AI Tools for Life and Work Descriptor.pdf
Professors and lecturers:
- Ogul Unal - PhD, Institute of Computer Science and Technology, SPbPU; M-com Search Engine Optimization specialist”.
Contacts:
Summer and Winter Schools Team
- summerschool@spbstu.ru
- +7 (812) 534-25-31
- room 227, 28, Grazhdanskii prospect, 195220, St.Petersburg, Russia