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Udemy: Azure Machine Learning using Cognitive Services

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

4.4 (104 ratings)

1,264 students enrolled
Last updated 2/2020
English
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Original Price£74.99
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This course includes
  • 17.5 hours on-demand video
  • 1 article
  • 2 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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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.
Course content
Expand all 88 lectures17:36:15
+Intro to Machine Learning
5 lectures47:09
+Intro to Python
5 lectures44:48
+Text Analytics
5 lectures01:17:32
+Machine Learning for Spell Checking
3 lectures31:28
+Text and Speech Translation
7 lectures01:50:48
+Language Understanding Intelligent Service
4 lectures50:35
+Speech to Text. Text To Speech
10 lectures01:59:52
+Computer Vision
6 lectures01:30:52
+Face Detection
7 lectures01:16:49
+Content Moderation
8 lectures01:24:24
+Video Indexer Service
8 lectures01:21:08
+Custom Vision Service
8 lectures01:32:23
+Bot Services
4 lectures01:01:36
+Azure Machine Learning Studio
6 lectures01:19:50
+Extra Information – Source code, and other stuff
2 lectures07:01
Requirements
Course content
Collapse all 88 lectures17:36:15
Intro to Machine Learning
47:09
Artificial Intelligence vs Machine Learning
07:00
Examples of Apps that Use Machine Learning
06:24
Getting your Azure Subscription Ready
08:37
Intro to Python
44:48
Why will we use Python?
07:38
Azure Notebooks
05:44
Variables and Statements
13:15
Working with Lists
08:01
Creating Functions and Slicing Lists
10:10
Text Analytics
01:17:32
The Text Analytics API
11:31
Performing Sentiment Analysis
23:53
Removing Stopwords and Other Techniques
14:32
The Stemming Technique
19:16
Machine Learning for Spell Checking
31:28
Creating a Spell Checking Service
06:47
Spell Checking with Context Awareness
06:30
Text and Speech Translation
01:50:48
Text Translator Service Setup
10:10
Implementing Text Translation
17:23
Identifying languages
14:24
The Speech Translator Service
08:22
Preparing for Speech and Microphone Use
08:09
Making Speech Translation Requests – Part 1
25:17
Making Speech Translation Requests – Part 2
27:03
Language Understanding Intelligent Service
50:35
The Language Understanding Service
10:50
Creating Intents and Entities
08:49
Train and Publish the Service
10:42
Consuming the LUIS Service
20:14
Speech to Text. Text To Speech
01:59:52
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
Verifying users: Verifying thorugh audio files
13:18
Computer Vision
01:30:52
The Computer Vision API
05:51
Analyzing an Image
23:36
Getting an Image Description
08:15
Implementing Optical Character Recognition
11:39
Drawing Lines in an Image
23:25
Implementing Handrwitting Recognition
18:06
Face Detection
01:16:49
The Face API
06:40
Detecting Faces
10:24
Creating a People Group
11:20
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 Moderation
01:24:24
Content Moderator Service
06:58
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
Video Indexer Service
01:21:08
Setting up the Video Indexer Service
07:33
Connecting to your Azure Subscription
07:55
Indexing Video
08:19
Getting Access Token for Indexing Video
09:35
Uploading Video for Indexing
09:43
Getting Video Index
08:45
Getting Video Thumbnails
17:15
Identifying People in Video
12:03
Custom Vision Service
01:32:23
The Custom Vision Service
08:38
Classifying Images from Custom Vision Portal
16:38
Creating a new Custom Vision Project from Code
09:02
Creating the Tags for Classification
07:59
Uploading Images and Assigning Tags
15:30
Training the Project Programatically
10:51
Interation’s Performance
08:26
Predicting the Classification of an Image
15:19
Bot Services
01:01:36
Creating the Bot Service
12:53
Coding the Bot with Custom Vision Functionality
20:26
Deserializing Json
16:48
Connecting the Bot to a Channel (Facebook Messenger)
11:29
Azure Machine Learning Studio
01:19:50
The Machine Learning Studio
11:54
Joining Two Datasets Together
13:29
Manipulating the Datasets
16:06
Training the Model and Making Predictions
15:24
Deploying the Web Service
10:45
Testing the Web Service
12:12
Extra Information – Source code, and other stuff
07:01
Source Codes
02:12
Bonus Lecture and Information
04:49
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.
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Tim Buchalka's Learn Programming Academy

4.5 Instructor Rating
212,561 Reviews
767,214 Students
50 Courses
Professional Programmers and Teachers – 664K+ 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 582K + 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

4.4 Instructor Rating
6,717 Reviews
54,601 Students
16 Courses
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 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.

 

Student feedback
4.4
Course Rating
Reviews
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Needs to be updated to reflect cognitive services version 3.0. The code is also inefficient. It still provides a decent overview of the services available by MS.

BR
Brett Roberts
5 days ago

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Excellent content. Precise and to the point. I got what i was looking for.

FS
Faheem Syed
a month ago

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Very basic — but a good introduction.

The word “easy” is used too often. I have been doing AI on images and sound for over 20 years. Building a solution for a real world problem is most often not “easy”- even with Microsoft services.

TN
Troy Nolen
a month ago

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presented code did’t work . need some small adjustments

DZ
Daniel Zaharia
6 months ago

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Love the level of detail. The author really goes into the details. This takes effort and time to prep. Great Job.

Only one thing to add. Cognitive Services will have new features and new services like the object detection with Custom Vision or the newer Anomaly Detection service. Please keep updating it. I am also willing to pay for updates.

Also container deployment and Edge device deployment of models could be an interesting enhancements in the near future. Again, great job. Best course so far I found on this topic.

Cheers,

Ludwig

L
Ludwig
7 months ago

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Content is good but sometimes the pronunciation is bit difficult to understand

AD
Amit Damle
a year ago

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difference between artificial intelligence and more advanced machine learning.

NP
Nikhil Pande
2 months ago

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None of your video play /load even for goodinternet speed

MD
Maheshwari Desai
9 months ago

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Cognitive Services are awesome! Was able to quickly implement some image classifier into my Android app in minutes!

The way the course is structured I was able to jump from section to section without needing to take additional lectures that I didn’t really need.

I couldn’t say I’m learning what Machine Learning really is, but heck, I’m very quickly adding awesome functionality to my apps!

Yesenia López

Yesenia López
a year ago

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It’s not a machine learning course as one would expect. Expected explanations of machine learning terms, how to build models etc. The instructor is simply explaining the APIs. Also extremely slow delivery and repetitive.

S
Soniya
a year ago

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