Building Intelligent Applications Treningskurs

Last updated

Kurskode

intelligentmobileapps

Varighet

35 timer (vanligvis 5 dag inkludert pauser)

Krav

  • Basic programming experience
  • Basic familiarity with C#

Oversikt

Intelligente applikasjoner er neste generasjons apper som kontinuerlig kan lære av brukerinteraksjoner for å gi bedre verdi og relevans for brukerne.

I denne instruktørledede, liveopplæringen, vil deltakerne lære å bygge intelligente mobilapplikasjoner og bots.

Ved slutten av denne opplæringen vil deltakerne kunne:

  • Forstå de grunnleggende konseptene for intelligente applikasjoner
  • Lær hvordan du bruker forskjellige verktøy for å bygge intelligente applikasjoner
  • Bygg intelligente applikasjoner ved å bruke Azure , Cognitive Services API, Stream Analytics og Xamarin

Publikum

  • Utviklere
  • programmerere
  • amatører

Kursets format

  • Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse

Machine Translated

Kursplan

Introduction

Understanding What Intelligent Mobile Applications Are

Setting Up the Development Environment

Overview of Azure Machine Learning Web Services

Using the Azure Machine Learning Studio

Learning How to Publish a Web Service in Azure

Viewing Data in Microsoft Excel in Azure

Creating Sample Applications in Azure

Using Microsoft Cognitive Services and APIs

Introduction to Text Analytics

Setting Up the Text Analytics API

Working with Text Analytics

Understanding the Bot Framework

Learning Bot Basics

Building a Simple Bot

Enhancing Your Bot and Its Functionalities

Learning Real Time Event Processing

Understanding Real Time Analytics

Using Azure Stream Analytics

Integrating Machine Learning into Stream Analytics

Using Xamarin

Using Azure Search

Understanding the Benefits of an Intelligent Search-Enabled Mobile Application

Project: Building an Intelligent Search-Enabled Application for Real Estate Listings

  • Implementing Type-Ahead Search Suggestions
  • Implementing Full-Text Search and Paging of Results
  • Implementing Search Results Filters
  • Implementing the Lookup Feature
  • Using Machine Learning Techniques for Item Recommendations
  • Scoring and Tuning of Search Results

Summary and Conclusion

Testimonials

★★★★★
★★★★★

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