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  • Azure Machine Learning using Cognitive Services

Azure Machine Learning using Cognitive Services

Learn the Azure Machine Learning Studio, Azure Bot Service, Video Indexing service, Computer Vision for OCR and more!

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Eduardo Rosas
Web Development
(488 reviews)
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  • Overview
  • Curriculum
  • Instructor
  • Reviews

Has Microsoft’s Cognitive services piqued your interest, but you haven’t been able to find a decent course that will teach you how to use those services effectively?

Or maybe you have just recognised how a valuable skill like machine learning can open up big opportunities for you as a developer.

Perhaps you just wanted to find out how to add “superpowers” to your programs to do amazing things like face detection, but had no idea how to go about it.

Whatever the reason that has brought you to this page, one thing is for sure; the information you are looking for is contained in this course!

Why learn about Azure Machine Learning?

Machine Learning is not only a hot topic but more excitingly, Python Developers who understand how to work with Machine Learning are in high demand!

Azure, combined with Microsoft Cognitive Services, are a huge opportunity for developers.  

In this course you will learn how to add powerful Machine Learning functionality to your applications.

You’ll learn how Microsoft Cognitive Services provide advanced machine learning functionality for any kind of application

You will be able to create amazing apps that add “superpowers”, such as language understanding for executing user-requests, verification of users through speech, face detection, identification of people in images, and much more!

You will learn how to bring into play Machine Learning models to simplify business processes when moderating content.

And you will find out how you can create better experiences for your users by adding more interfaces and functionalities such as bots.

Adding these skills to your résumé will greatly boost your future job or freelancer opportunities.

Why choose this course?

  • This course covers a much wider range of Cognitive Services than other similar courses.

  • It guides you step by step through the usage of these services instead of just covering the creation inside Azure.

  • Your instructor, Eduardo Rosas, has been working with Azure services for 4 years.

  • He has created many apps that leverage Azure services, including one with the implementation of Machine Learning models and image analysis that got him to the Microsoft Imagine Cup World-Wide finals.

The Key Topics Covered include :

  • The Azure Machine Learning Studio – how to create your own machine learning models with drag and drop interfaces.

  • The Azure Bot Service – how to create conversational bots that can be connected with Messenger, Slack, Skype, Telegram, and more.

  • The Video Indexing service – how to identify people in a video, actions, get a transcript of the conversation, with a timestamp, how to translate it and more.

  • Computer Vision for OCR – handwritten text recognition, image analysis.

  • Custom Vision for your own image classification model tailored completely to your needs.

  • Plus an additional nine (9) Cognitive Services!

You’ll come away with a concrete understanding of Azure Machine Learning and how to maximize it to create superior apps with amazing functionalities!

The ideal student would be someone who has a basic knowledge of programming and wants to learn about machine learning using Azure and Microsoft Cognitive Services.

If you’re ready to take your skills and app functionalities to the next level, then today is the best day to get started!

Click the enroll button to sign up for the course and we look forward to seeing you on the inside!

Requirements

  • Basic skills in any programming language.
  • No previous experience with Python is necessary. You will learn the basics of Python programming throughout the course.

What you will learn

  • By the end of the course you'll be able to add powerful Machine Learning functionality to your apps with simple REST requests!
  • You will know how Microsoft Cognitive Services provide advance Machine Learning functionality to any kind of app.
  • You will be able to create amazing apps (or improve those you’ve already created) by adding superior functionalities and superpowers such as language understanding for executing user-requests, verification of users through speech, face detection, identify people in images, and so much more!
  • You can bring into play Machine Learning models to simplify business processes when moderating content.
  • You’ll be able to create better experiences for your users by adding more interfaces and functionalities such as bots.

Who should attend

  • This course is suitable for any developer who has some basic knowledge of programming (any language).
  • This course is for you if you want to quickly implement Machine Learning functionality to your own programs. This course is not for developers wanting to learn the ins and outs of ML.
  • Anyone who's finds complex Math uncomfortable but is interested in Machine Learning and how to apply it to problems.

Is available on google app?

Yes

Is available on ios?

Yes

Course Features

  • Lectures 100
  • Quizzes 0
  • Exercises 0
  • Duration 16.5 total hours
  • Skill level All Levels
  • Students 5358
  • Last Updated May, 2025
  • Intro to Machine Learning 47:09

    • Lecture
      What is Machine Learning 15:36
    • Lecture
      Artificial Intelligence vs Machine Learning 07:00
    • Lecture
      Examples of Apps that Use Machine Learning 06:24
    • Lecture
      What Will You Learn? 09:32
    • Lecture
      Getting your Azure Subscription Ready 08:37
  • Intro to Python 47:37

    • Lecture
      Why will we use Python? 07:38
    • Lecture
      Google Colaboratory 04:01
    • Lecture
      Getting the Source Code 02:24
    • Lecture
      Variables and Statements 15:23
    • Lecture
      Working with Lists 08:01
    • Lecture
      Creating Functions and Slicing Lists 10:10
  • Text Analytics 01:34:50

    • Lecture
      The Text Analytics API 11:31
    • Lecture
      Getting the Source Code 01:48
    • Lecture
      Performing Sentiment Analysis 21:17
    • Lecture
      Extracting Key Phrases from Documents 08:20
    • Lecture
      Removing Stopwords and Other Techniques 14:32
    • Lecture
      Implementing Handrwitting Recognition 18:06
    • Lecture
      The Stemming Technique 19:16
  • Machine Learning for Spell Checking 30:38

    • Lecture
      Creating a Spell Checking Service 05:05
    • Lecture
      Getting the Source Code 01:23
    • Lecture
      Using the Spell Checking Service 17:40
    • Lecture
      Spell Checking with Context Awareness 06:30
  • Text and Speech Translation 01:12:19

    • Lecture
      Text Translator Service Setup 06:41
    • Lecture
      Getting the Source Code 01:57
    • Lecture
      Implementing Text Translation 15:10
    • Lecture
      Identifying languages 14:24
    • Lecture
      Creating a People Group 11:20
    • Lecture
      The Speech Translator Service 04:05
    • Lecture
      Preparing for Speech and Microphone Use 05:15
    • Lecture
      Making Speech Translation Requests 13:27
  • Language Understanding Intelligent Service 36:56

    • Lecture
      The Language Understanding Service 07:25
    • Lecture
      Getting the Source Code 00:40
    • Lecture
      Creating Intents and Entities 06:47
    • Lecture
      Train and Publish the Service 07:40
    • Lecture
      Consuming the LUIS Service 14:24
  • Speech to Text. Text To Speech 01:59:52

    • Lecture
      Creating the Azure Speech Service 06:11
    • Lecture
      Getting Text from Speech 15:01
    • Lecture
      Issuing an Authorization Token 07:42
    • Lecture
      Getting Audio from Text 08:31
    • Lecture
      The Speaker Recognition Service 05:24
    • Lecture
      The Verification Phrases 12:43
    • Lecture
      Performing the Enrollment of Users - Part 1 12:16
    • Lecture
      Performing the Enrollment of Users - Part 2 25:24
    • Lecture
      Verifying users: Getting the Verification Profile 13:22
    • Lecture
      Verifying users: Verifying thorugh audio files 13:18
  • Computer Vision 01:34:30

    • Lecture
      The Computer Vision API 04:05
    • Lecture
      Getting the Source Code 02:22
    • Lecture
      Analyzing an Image 23:36
    • Lecture
      Getting an Image Description 08:15
    • Lecture
      Implementing Optical Character Recognition 11:39
    • Lecture
      Drawing Lines in an Image 23:25
    • Lecture
      More Drawing Lines and Saving the Image 06:09
    • Lecture
      Implementing Handwritting Recognition 14:59
  • Face Detection 01:15:51

    • Lecture
      The Face API 06:40
    • Lecture
      Getting the Source Code 01:39
    • Lecture
      Detecting Faces 10:24
    • Lecture
      Creating a People Group 08:43
    • Lecture
      Adding a Person to a Group 07:19
    • Lecture
      Adding Faces to a Person 17:16
    • Lecture
      Identifying People 19:26
    • Lecture
      Detecting Emotion in Faces 04:24
  • Content Moderation 01:38:52

    • Lecture
      Content Moderator Service 06:58
    • Lecture
      Getting the Source Code 01:35
    • Lecture
      Moderating Personal Information 10:42
    • Lecture
      Moderating Profanity 12:57
    • Lecture
      Creating the Bot Service 12:53
    • Lecture
      Moderating Images 15:15
    • Lecture
      The Content Moderator Portal 07:57
    • Lecture
      Creating a Moderation Workflow 10:17
    • Lecture
      Executing a Workflow Programatically 07:37
    • Lecture
      Getting a Job's Result 12:41
  • Video Indexer Service 01:59:45

    • Lecture
      Setting up the Video Indexer Service 07:33
    • Lecture
      Coding the Bot with Custom Vision Functionality 20:26
    • Lecture
      Connecting to your Azure Subscription 07:55
    • Lecture
      Getting the Source Code 01:23
    • Lecture
      Indexing Video 08:19
    • Lecture
      Getting Access Token for Indexing Video 09:35
    • Lecture
      Uploading Video for Indexing 09:43
    • Lecture
      Getting Video Index 08:45
    • Lecture
      Deserializing Json 16:48
    • Lecture
      Getting Video Thumbnails 17:15
    • Lecture
      Identifying People in Video 12:03
  • Custom Vision Service 01:36:31

    • Lecture
      The Custom Vision Service 08:38
    • Lecture
      Getting the Source Code 02:42
    • Lecture
      Classifying Images from Custom Vision Portal 16:38
    • Lecture
      Creating a new Custom Vision Project from Code 09:02
    • Lecture
      Creating the Tags for Classification 07:59
    • Lecture
      Uploading Images and Assigning Tags 15:30
    • Lecture
      Image Upload Error 01:26
    • Lecture
      Training the Project Programatically 10:51
    • Lecture
      Interation's Performance 08:26
    • Lecture
      Predicting the Classification of an Image 15:19
  • Bot Services 49:10

    • Lecture
      Creating the Bot Service 08:08
    • Lecture
      Coding the Bot with Custom Vision Functionality 18:00
    • Lecture
      Bonus - Please Watch! 00:48
    • Lecture
      Deserializing Json 10:45
    • Lecture
      Connecting the Bot to a Channel (Facebook Messenger) 11:29
  • Azure Machine Learning Studio 01:20:41

    • Lecture
      The Machine Learning Studio 11:54
    • Lecture
      Joining Two Datasets Together 13:29
    • Lecture
      Manipulating the Datasets 16:06
    • Lecture
      Training the Model and Making Predictions 15:24
    • Lecture
      Deploying the Web Service 10:45
    • Lecture
      Getting the Source Code 00:51
    • Lecture
      Testing the Web Service 12:12
  • Extra Information - Source code, and other stuff 07:32

    • Lecture
      Source Codes 02:08
    • Lecture
      Check out Our Other 42 Udemy Courses! 00:35
    • Lecture
      Bonus Lecture and Information 04:49
Eduardo Rosas
Xamarin-Certified Mobile Developer, Software Engineer I am a Software Engineer and Xamarin-Certified Mobile Developer. I have been developing mobile apps for 7 years now, I started when iOS 5 had just been released! During this… View Profile
Tim Buchalka's Learn Programming Academy
Professional Programmers and Teachers - 323,000+ students The Learn Programming Academy was created by Tim Buchalka, a software developer with 35 years experience, who is also an instructor on Udemy, with over 335,000 students in his courses… View Profile

Student Feedback

4.6
488 Average ratings
47%
38%
11%
3%
2%
  • 4 months ago

    Stephen Adikpe

    The introduction builds in me a new hunger and drive to dig deeper. Like some kind of excitement is created in my heart listening to this first video

  • 6 months ago

    Sameer Ahmed

    great course with source code that has multiple examples for each module

  • 1 year ago

    Gonzalo Antonio Rodríguez Garcia

    well explained

  • 1 year ago

    Sivasankari Perumal

    good one

  • 1 year ago

    Nicolas Gonzalez Redondo

    Expecting to learn a lot on this course

  • 1 year ago

    Gourav Rishi

    Please update this course.

  • 1 year ago

    Brianne Wilson

    Good explanations and I'm getting used to the author's accent.

  • 1 year ago

    FLAT ROCK TECHNOLOGY EOOD, VAT Number BG201052233

    Awesome course!

  • 2 years ago

    Itish Nigam

    ok

  • 2 years ago

    Mithun Kumar

    good

  • Overview
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  • Instructor
  • Reviews
Take this course
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