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OpenHack AI-Powered Knowledge Mining (OHAIPM)

 

Who should attend

  • App Developers
  • ML/AI Engineers
  • Customers looking to extract insights from vast quantities of diverse data
  • Customers looking for intuitive search capabilities to help them find and make sense of relevant information that they need to make key business decisions

Prerequisites

To be successful and get the most out of this OpenHack, it is highly recommended that participants have previous experience with:

Tooling Prerequisites To avoid any delays with downloading or installing tooling, have the following ready to go ahead of the OpenHack:

  • After installing the language-specific extensions, install the Azure Functions extension. You will use this in some of the later challenges.
  • Most of the operations to create and modify Azure Search entities involve submitting JSON requests to a REST interface. You can write code in your preferred language to do this, or you can use Postman to create and submit collections of REST requests.

Language-Specific Prerequisites

  • Recommended that participants have previous experience with knowledge of programing languages including C#, JavaScript, Node.JS or Java.

Course Objectives

By the end of the OpenHack, attendees will have built out a technical solution that is a complete Azure machine learning-based intelligent search infrastructure that can make sense of vast quantities of data (i.e. documents, scanned images, and other digital artifacts).

  • AI-Powered Knowledge Mining helps businesses make better decisions through more robust data extraction and analysis
  • Improved search functionality to decrease time-to-find relevant data

Course Content

This OpenHack enables attendees to add intelligent search capabilities to their applications and services, leveraging artificial intelligence to extract meaningful results from data. This OpenHack simulates a real-world scenario where a travel company needs to uncover data locked up in documents and withdraw insights from that data to make key business decisions. During the “hacking” attendees will focus on:

  • 1. exploring ways in which Azure Search can be used as the core of a search solution
  • 2. enriching the search solution through integration with Cognitive Services, Azure Machine Learning, and custom code.

Technical Scenarios

  • Search – Improving the ability to ingest data from various sources, intelligently sift through that data using core Azure AI services like Azure Search and Cog Services, and then analyze that data
  • Data modeling – Create custom ML models that learn from data and continuously improve search
Online Training
Modality: L

Duration 3 days

Classroom Training
Modality: C

Duration 3 days

 

Schedule

English
1 hour difference
Online Training Time zone: Greenwich Mean Time (GMT)
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.