The basic concepts and trends in artificial intelligence and machine learning are presented. The lecture is popular-scientific in nature, aimed primarily at profiles without deep technical prior knowledge. We will present the evolution and landscape of the field, important applications, key technical approaches (with an emphasis on building intuition), and conclude with general artificial intelligence and its philosophical aspect.
We will demonstrate the use of technologies using practical examples as well.
Content
- Introduction to Artificial Intelligence (AI): Historical Development, Definition, and Modern Applications
- Machine Learning with a practical demonstration of supervised and unsupervised learning.
- Fundamentals and demonstration of neural network operation.
- Functioning and applications of large language models.
- Other approaches to generative artificial intelligence.
- Paths to General Artificial Intelligence and its pitfalls.
Recommended prior knowledge
It is intended for all profiles, even without technical background, as the field of artificial intelligence and machine learning touches all work areas and industries.
Learning objectives
- To become familiar with artificial intelligence and machine learning technologies and trends in this field.
- Understand how neural networks work and how they learn
- To gain an intuition about how artificial intelligence systems work.
- To learn about the possibilities of using these technologies
Target group
- The general public, as the field touches all professions and industries.
2025-11-19 08:30:00
2025-12-18 22:22:00