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Development Web Development Azure Machine Learning

Azure Machine Learning using Cognitive Services

Learn the Azure Machine Learning Studio, Azure Bot Service, Video Indexing service, Computer Vision for OCR and more!
Rating: 4.4 out of 54.4 (245 ratings)
2,847 students
Created by Tim Buchalka's Learn Programming Academy, Eduardo Rosas
Last updated 1/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll 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.
Curated for the Udemy for Business collection

Course content

15 sections • 100 lectures • 16h 31m total length

  • Preview15:36
  • Artificial Intelligence vs Machine Learning
    07:00
  • Examples of Apps that Use Machine Learning
    06:24
  • Preview09:32
  • Getting your Azure Subscription Ready
    08:37

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

  • The Text Analytics API
    11:31
  • Getting the Source Code
    01:48
  • Performing Sentiment Analysis
    21:17
  • Preview08:20
  • Removing Stopwords and Other Techniques
    14:32
  • The Stemming Technique
    19:16

  • Creating a Spell Checking Service
    05:05
  • Getting the Source Code
    01:23
  • Using the Spell Checking Service
    17:40
  • Spell Checking with Context Awareness
    06:30

  • Text Translator Service Setup
    06:41
  • Getting the Source Code
    01:57
  • Implementing Text Translation
    15:10
  • Identifying languages
    14:24
  • The Speech Translator Service
    04:05
  • Preparing for Speech and Microphone Use
    05:15
  • Making Speech Translation Requests
    13:27

  • The Language Understanding Service
    07:25
  • Getting the Source Code
    00:40
  • Creating Intents and Entities
    06:47
  • Train and Publish the Service
    07:40
  • Consuming the LUIS Service
    14:24

  • Creating the Azure Speech Service
    06:11
  • Getting Text from Speech
    15:01
  • Issuing an Authorization Token
    07:42
  • Getting Audio from Text
    08:31
  • The Speaker Recognition Service
    05:24
  • The Verification Phrases
    12:43
  • Performing the Enrollment of Users - Part 1
    12:16
  • Performing the Enrollment of Users - Part 2
    25:24
  • Preview13:22
  • Verifying users: Verifying thorugh audio files
    13:18

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

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

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

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.

Description

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!


Who this course is for:

  • 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.

Instructors

Tim Buchalka's Learn Programming Academy
Professional Programmers and Teachers - 1.1M students
Tim Buchalka's Learn Programming Academy
  • 4.5 Instructor Rating
  • 324,047 Reviews
  • 1,118,468 Students
  • 52 Courses

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 1.1M+ students in his courses on Java, Python, Android, C#  and the Spring framework. 

The Academy’s goal in the next three years, is to teach one million people to learn how to program.

Apart from Tim’s own courses, which are all available here, we are working with the very best teachers, creating courses to teach the essential skills required by developers, at all levels.

One other important philosophy is that our courses are taught by real professionals; software developers with real and substantial experience in the industry, who are also great teachers.  All our instructors are experienced, software developers!

Our team is busy creating new courses right now.

Whether you are a beginner, looking to learn how to program for the very first time, or to brush up on your existing skills, or to learn new languages and frameworks, the Academy has you covered.

Eduardo Rosas
Xamarin-Certified Mobile Developer, Software Engineer
Eduardo Rosas
  • 4.4 Instructor Rating
  • 10,256 Reviews
  • 74,455 Students
  • 16 Courses

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 years I have created apps for clients, both for private use and for public use. I have created some apps that I wanted to release to the app stores, and have created a lot of apps just for fun. The main platform I use is Xamarin, so I can code Android, Windows, iOS and macOS apps using my favorite language: C#.

I have helped literally thousands of students to learn how to code, both online and in-person, and it has become my passion.

I also love to design apps, whenever I get a little bit (or a lot) stressed when coding, I design apps, either out-of-the-blue concepts, or the next app that I have to code, or a design for a client.

I like to think of myself as an entrepreneur, I am the co-founder of a startup, AlphaBeta, focused on helping Mexicans to adopt digital technologies in their lives, so they become more efficient, and live better lives.

In AlphaBeta I have learned (and taught) how to use tools like Google Classroom, Power BI (super popular with SMEs) and Adobe Experience Design, and some of those courses, have been brought here as well.

My students usually say that I know how to make difficult subjects easy to understand and that I help them learn in the best way possible: by doing.

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