Building Practical GenAI Solutions using AWS Bedrock

This AWS User Group meetup delves into the exciting world of building generative AI applications with Amazon's Bedrock service. We'll begin by introducing Bedrock and its capabilities for creating AI-powered solutions.

Then the focus of this session shifts to a practical example - a Text-to-SQL implementation built using Bedrock. In a live demo, we will demonstrate how Bedrock translates natural language into clear SQL queries. Witness firsthand how this application empowers users to interact with data seamlessly, to gain valuable insights without extensive coding expertise.

Finally, a code linting solution using free text prompts will be showcased. These prompts are carefully crafted and improved before submission to the Large Language Model (LLM). The linter has been tested extensively, providing valuable insights and lessons learned. This meetup is perfect for:

• Developers and architects looking to incorporate AI into their AWS projects
• Anyone curious about the potential of AI for data analysis and manipulation
• Individuals interested in exploring Bedrock and its Text-to-SQL functionality

Agenda

• 18:15 - Using Amazon Bedrock and Amazon Q in QuickSight in your Contact Center – live demo - Árpád Csöke
  Amazon Bedrock, Amazon Connect, QuickSight, Amazon Q
• 18:45 - Building a conversational chatbot for Business Intelligence - Text2SQL - Gergely Szlobodnyik
  Text to SQL demo, Amazon Bedrock, OpenSearch, RAG, Lambda
• 19:15 - Linting with generative AI - Szabolcs Danyi
  Code linting, Amazon Bedrock, NodeJS, developer experience
• 19:45 - Networking