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Next generation apps have brought intelligence to the software, enabling users to interact with everyday devices in many new ways. The aim of this data science course for developers, you will learn how to create smart applications that use the power of the machine learning to engage with users in previously unimaginable ways. Interested students will be extremely satisfied after completion of this course.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.

Having an Official Edukite Certification is a great way to celebrate and share your success. You can:

  • Add the certificate to your CV or resume and brighten up your career
  • Show it to prove your success

 

Course Credit: Microsoft

Course Curriculum

Welcome to Developing Intelligent Applications 00:05:00
Module 1 - Azure Machine Learning Web Services
Module One Introduction 00:03:00
Azure ML Web Service Overview 00:02:00
Demo: Publish a Web Service 00:04:00
Demo: Test the Web Service 00:06:00
Demo: Viewing Data in Excel 00:07:00
Viewing the Sample Client Code 00:12:00
Demo: Creating a Simple Console-Based Application in C# 00:08:00
Demo: Quick and Simple Web Application 00:07:00
Module 2 - Text Analytics
Module Two Introduction 00:02:00
What is Text Analytics? 00:01:00
Sign up for Text Analytics APIs 00:02:00
Text Analytics Demo 00:06:00
Demo: Sampling the APIs 00:08:00
Module 3 - Creating "Bots"
Module Three Introduction 00:03:00
Introduction to Bots 00:02:00
Bots Demo 00:06:00
Working with Bot Dialogs 00:08:00
Get Started with the Bot Builder for C# 00:07:00
Adding State to your Bot 00:06:00
Demonstration of FormFlow 00:05:00
Module 4 - Real Time Event Processing
Module Four Introduction 00:03:00
Data in Motion and the Data Evolution 00:08:00
Common Real Time Processing Scenarios 00:06:00
Options for Real Time Analytics on Azure 00:04:00
Azure Stream Analytics Overview 00:05:00
Building a Stream Analytics Service 00:03:00
Build an Event Hub Service 00:05:00
Create a Blob Storage Account 00:04:00
Architecture: Inputs and Outputs 00:06:00
T-SQL Language Constructs 00:05:00
Filtering Data 00:04:00
TimeStamping 00:03:00
Windowing 00:11:00
Orb of Intelligence: Text Analytics API integration 00:08:00
New Functionality: Functions 00:08:00
Orb of Intelligence: Azure Machine Learning API integration 00:07:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

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