Agentic models and technologies of generative AI (cs)
Тип: На вибір студента
Кафедра: information systems
Навчальний план
| Семестр | Кредити | Звітність |
| 9 | 5.5 | Залік |
Лекції
| Семестр | К-сть годин | Лектор | Група(и) |
| 9 | 32 | доцент R. H. Drebotiy | PMi-52m, PMi-53m |
Лабораторні
| Семестр | К-сть годин | Група | Викладач(і) |
| 9 | 32 | PMi-52m | доцент R. H. Drebotiy |
| PMi-53m | доцент R. H. Drebotiy |
Опис курсу
Within the discipline “Agentic models and technologies of generative AI” modern approaches of creating agent-based artificial intelligence systems based on generative language models will be considered. The use of the LangChain and LangGraph software libraries will be considered as a basis for developing the aforementioned systems.
The purpose and objectives of studying the elective discipline “Agentic models and technologies of generative AI”:
- to familiarize students with the principles and architectural patterns of designing agent systems;
- to familiarize students with the software tools LangChain and LangGraph;
- to consider and consolidate the use of selected software products in practice.
Рекомендована література
- https://www.langchain.com
- https://www.langchain.com/langgraph
- Taulli T., Deshmukh G. Building Generative AI Agents: Using LangGraph, AutoGen, and CrewAI. – Apress, 2025, 288p.
- Raschka S. Build a Reasoning Model (From Scratch). – Manning, 2026, 406p.
- Auffarth B. Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs. – Packt Publishing, 2023, 360p.