https://store-images.s-microsoft.com/image/apps.53972.562e5499-8867-47fa-b29f-956a41cf5217.d6b9e25d-4c4a-4bd1-a2a6-f5f8d1068d84.e0022dd5-850e-4eae-9682-300483783e9a

Build and Modernize AI Applications Hackathon Hosted on OneVenue Virtual or In-person

Opsgility, LLC

Build and Modernize AI Applications Hackathon Hosted on OneVenue Virtual or In-person

Opsgility, LLC

3-day workshop with OneVenue and Cloud Sandbox focused on Building AI Applications

Hackathon Logistics

  • This workshop is delivered on the OneVenue Azure Integrated Cloud Sandbox SaaS service
  • Up to 16 attendees to participate in the workshop in-person or virtually for 5 days
  • Opsgility Trainers to help coach and lead the workshop
  • Opsgility Customer Success Team to coordinate logistics for the workshop
  • After purchase, a Customer Success Manager will contact you to schedule your workshop .
  • All time zones are supported for delivery.

Questions before purchase?
Contact us at sales@opsgility.com or visit our site to learn more about our Azure AI Training solutions.


Workshop Description

CosmicWorks has big plans for their retail site. They're eager to launch a POC of a simple chat interface where users can interact with a virtual agent to find product and account information.

The scenario centers around a consumer retail "Intelligent Agent" that allows users to ask questions on vectorized product, customer and sales order data stored in a database. The data in this solution is the Cosmic Works sample for Azure Cosmos DB. This data is an adapted subset of the Adventure Works 2017 dataset for a retail Bike Shop that sells bicycles, biking accessories, components and clothing.

BUT you can bring your own data instead.

This hackathon will challenge you and your team to launch a POC of a chat interface where users can interact with a virtual agent to find product and account information. Through the course of the hackathon, you will modify an existing application to do the following:

  • Store the chat messages in an Azure Cosmos DB database, grouped by chat sessions
  • Use Azure OpenAI Service to create vector embeddings and chat completions
  • Use Azure Cognitive Search as a vector database to search for product and account information by the vector embeddings
  • Load up existing product and account information into Azure Cosmos DB and the Azure Cognitive Search vector index
  • Create a process that manages the conversation flow, vectorization, search, data handling, and response generation
  • Externally manage system prompts
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https://store-images.s-microsoft.com/image/apps.2083.562e5499-8867-47fa-b29f-956a41cf5217.d6b9e25d-4c4a-4bd1-a2a6-f5f8d1068d84.857bcdc8-9744-4f32-a2c4-e458b28157a8
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