https://store-images.s-microsoft.com/image/apps.53972.98f72f62-d2b3-44f5-844f-8ac50699121c.586ab929-e537-472e-8a56-05ed880cf629.545e9f24-dd3d-4dc3-9a18-fc330263bbc0

Building a Chatbot with Azure OpenAI Workshop 365 Hosted on OneVenue Virtual or In-person

Opsgility, LLC

Building a Chatbot with Azure OpenAI Workshop 365 Hosted on OneVenue Virtual or In-person

Opsgility, LLC

2-day workshop with OneVenue and Cloud Sandbox focused on Dynamics 365 Business Central

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 2 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

In this two-day course, you will learn the fundamentals of building generative AI solutions using the Open AI service in Microsoft Azure and get hands-on building a chatbot in a live Azure environment.

You will learn hands-on how to create a Q&A bot using the Azure OpenAI service for building a semantic search pipeline. This course focuses on setting up the necessary Azure services as the building blocks of a Q&A bot powered by OpenAI's most recent language models and Azure. It guides you through setting up a robust infrastructure that extracts paragraphs from your raw text documents, stores them in a text database optimized for vector search and then leverages the power of Natural Language Processing to find the information you are looking for - all from within Microsoft Azure and requiring minimal coding.


Learning Objectives
  • Know how to build an AI-powered Q&A bot using Azure services.
  • Understand how text embeddings can be used to find relevant passages in unstructured text documents.
  • Have a functional Q&A service that takes your own documents as inputs and can be interacted with through a clean UI.
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