Building Enterprise-Ready GenAI Solutions utilizing Retrieval Augmented Generation (RAG) on Amazon Web Service (AWS) Mohan Gowda Purushothama & Mateusz Płoskonka

Build GenAI enterprise solutions with RAG on Amazon Web Services (AWS) Retrieval Augmented Generation (RAG) is a technique used in natural language processing that combines the power of large language models, known as basic models, with external knowledge acquisition systems. In this workshop, you'll learn how to use AWS Managed Services to build enterprise applications using Bedrock's core models, knowledge bases, and agents. The workshop is ideal for individuals who are interested in developing any of the following solutions: GenAI Applications, Data Science, Data Processing, or Cloud Deployment solutions. The workshop, co-organized by the Institute of Information and Knowledge Engineering of the University of Economics (KIZI VŠE), will be led by experienced lecturers and AI/ML architects from the Amazon Web Services (AWS) team.

Lecteurer: Mohan Gowda Purushothama (Principal Solutions Architect AI/ML, Amazon), Mateusz Płoskonka - Amazon/AWS+KIZI  

Event target group: students FIS; employees FIS; employees VSE; students VSE; exchange students;  

Requirements: Basic understanding of a high-level programming language (Python, Java).

Registration: yes (capacity 40)