Agentic models and technologies of generative AI (cs)

Тип: На вибір студента

Кафедра: information systems

Навчальний план

СеместрКредитиЗвітність
95.5Залік

Лекції

СеместрК-сть годинЛекторГрупа(и)
932доцент R. H. DrebotiyPMi-52m, PMi-53m

Лабораторні

СеместрК-сть годинГрупаВикладач(і)
932PMi-52mдоцент R. H. Drebotiy
PMi-53mдоцент 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

  1. https://www.langchain.com
  2. https://www.langchain.com/langgraph
  3. Taulli T., Deshmukh G. Building Generative AI Agents: Using LangGraph, AutoGen, and CrewAI. – Apress, 2025, 288p.
  4. Raschka S. Build a Reasoning Model (From Scratch). – Manning, 2026, 406p.
  5. Auffarth B. Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs. – Packt Publishing, 2023, 360p.

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