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Developing Intelligent Apps and Bots

In this course of data science for designers, you will figure out how to make savvy applications that utilization the intensity of machine learning to engage with clients in past unimaginable ways.

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Microsoft

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Intermediate

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24 Hours

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In this course of data science for designers, you will figure out how to make savvy applications that utilization the intensity of machine learning to engage with clients in past unimaginable ways.

Course Information

About this course:

Next-generation applications have carried the intelligence to software, makes able users to interact with ordinary gadgets in new manners.

In this course of data science for designers, you will figure out how to make savvy applications that utilization the intensity of machine learning to engage with clients in past unimaginable ways.

The normal pay for a Software Developer with Machine Learning aptitudes is $87,989 every year.

Course Objective:

  • Make applications dependent on Azure Machine Learning web services
  • Utilize APIs for Azure machine learning
  • Publishing a Web Service
  • Viewing Data in Microsoft Excel
  • Create Sample Applications
  • Introducing Text Analytics
  • Setting up Text Analytics
  • Working with Text Analytics
  • Create autonomous "bots"
  • Real Time Analytics
  • Introduction to Azure Stream Analytics
  • Machine Learning Integration into Stream Analytics
  • Create real-time intelligent answers for IoT/big data situations

Audience:

This course is proposed for

Developers who wish to understand machine learning.

Prerequisites:

Understanding of the use of GitHub to clone repositories to your local system

Knowledge of Visual Studio

Suggested prerequisites courses:

Azure Fundamentals

Outline

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BrandMicrosoft
SubjectsCloud Computing
Lab AccessNo
TechnologyMicrosoft
Learning StyleSelf-Paced Learning
Learning TypeCourse
DifficultyIntermediate
Course Duration24 Hours
LanguageEnglish
VPA DiscountVPA Discount

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Course Expert:

Author

Paul Jackson

 

Paul has over 2 decades of of technical experience as a senior engineer, operations manager & project lead.
He has had hands-on impact within internal IT infrastructure, as well as in hundreds of unique customer environments that resulted in an in-depth knowledge of a wide range of security, identity, cloud, and infrastructure products & features; and a breadth of knowledge in associated network devices and applications.

His specialties include:

Identity, AD, Azure AD, Azure AD Connect, Azure MFA, ADFS, WAP, e-Gap, IAG, UAG, Firewalls, DirectAccess, Load balancers, PKI, Troubleshooting application and network issues, quickly learning new applications/technologies, building and leading tech teams, project management, creating scalable processes.

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