AI Agents in Practice: Code and No-Code Solutions

​Large Language Models (LLMs) are evolving from simple text generators into powerful systems that can interact with tools, data, and external services. In this webinar, we will explore the fundamentals of LLM-based agents and how they enable intelligent automation.

​The talk will introduce key concepts such as transformer-based LLMs, Retrieval-Augmented Generation (RAG), and modern frameworks used to build AI workflows, including LangChain, LangGraph, and the no-code platform n8n. We will also cover emerging approaches such as locally hosted LLMs and the Model Context Protocol (MCP), which enable secure, flexible, and tool-integrated AI systems.

​We will demonstrate practical examples such as automated document summarization from email attachments and AI-assisted analysis of server logs using n8n.

​Language: English (with occasional Armenian).

​The webinar is designed to be accessible to participants with both technical and non-technical backgrounds who are interested in learning how modern AI tools can be used to build practical automation solutions.

​When joining the webinar (Teams meeting), please use the same name you provided during registration.

​The webinar will be presented by Karen Gishyan, PhD, Backend Software Engineer, and Davit Martirosyan, PhD, AI Engineer.