Azure Machine Learning using Cognitive Services

Azure Machine Learning using Cognitive Services, available at $84.99, has an average rating of 4.7, with 100 lectures, based on 462 reviews, and has 5129 subscribers.

You will learn about By the end of the course youll 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. This course is ideal for individuals who are This course is suitable for any developer who has some basic knowledge of programming (any language). or 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. or Anyone whos finds complex Math uncomfortable but is interested in Machine Learning and how to apply it to problems. It is particularly useful for This course is suitable for any developer who has some basic knowledge of programming (any language). or 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. or Anyone whos finds complex Math uncomfortable but is interested in Machine Learning and how to apply it to problems.

Enroll now: Azure Machine Learning using Cognitive Services

Summary

Title: Azure Machine Learning using Cognitive Services

Price: $84.99

Average Rating: 4.7

Number of Lectures: 100

Number of Published Lectures: 100

Number of Curriculum Items: 100

Number of Published Curriculum Objects: 100

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

By the end of the course youll 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 whos finds complex Math uncomfortable but is interested in Machine Learning and how to apply it to problems.

Target Audiences

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 whos finds complex Math uncomfortable but is interested in Machine Learning and how to apply it to problems.

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!

Course Curriculum

Chapter 1: Intro to Machine Learning

Lecture 1: What is Machine Learning

Lecture 2: Artificial Intelligence vs Machine Learning

Lecture 3: Examples of Apps that Use Machine Learning

Lecture 4: What Will You Learn?

Lecture 5: Getting your Azure Subscription Ready

Chapter 2: Intro to Python

Lecture 1: Why will we use Python?

Lecture 2: Google Colaboratory

Lecture 3: Getting the Source Code

Lecture 4: Variables and Statements

Lecture 5: Working with Lists

Lecture 6: Creating Functions and Slicing Lists

Chapter 3: Text Analytics

Lecture 1: The Text Analytics API

Lecture 2: Getting the Source Code

Lecture 3: Performing Sentiment Analysis

Lecture 4: Extracting Key Phrases from Documents

Lecture 5: Removing Stopwords and Other Techniques

Lecture 6: The Stemming Technique

Chapter 4: Machine Learning for Spell Checking

Lecture 1: Creating a Spell Checking Service

Lecture 2: Getting the Source Code

Lecture 3: Using the Spell Checking Service

Lecture 4: Spell Checking with Context Awareness

Chapter 5: Text and Speech Translation

Lecture 1: Text Translator Service Setup

Lecture 2: Getting the Source Code

Lecture 3: Implementing Text Translation

Lecture 4: Identifying languages

Lecture 5: The Speech Translator Service

Lecture 6: Preparing for Speech and Microphone Use

Lecture 7: Making Speech Translation Requests

Chapter 6: Language Understanding Intelligent Service

Lecture 1: The Language Understanding Service

Lecture 2: Getting the Source Code

Lecture 3: Creating Intents and Entities

Lecture 4: Train and Publish the Service

Lecture 5: Consuming the LUIS Service

Chapter 7: Speech to Text. Text To Speech

Lecture 1: Creating the Azure Speech Service

Lecture 2: Getting Text from Speech

Lecture 3: Issuing an Authorization Token

Lecture 4: Getting Audio from Text

Lecture 5: The Speaker Recognition Service

Lecture 6: The Verification Phrases

Lecture 7: Performing the Enrollment of Users – Part 1

Lecture 8: Performing the Enrollment of Users – Part 2

Lecture 9: Verifying users: Getting the Verification Profile

Lecture 10: Verifying users: Verifying thorugh audio files

Chapter 8: Computer Vision

Lecture 1: The Computer Vision API

Lecture 2: Getting the Source Code

Lecture 3: Analyzing an Image

Lecture 4: Getting an Image Description

Lecture 5: Implementing Optical Character Recognition

Lecture 6: Drawing Lines in an Image

Lecture 7: More Drawing Lines and Saving the Image

Lecture 8: Implementing Handwritting Recognition

Chapter 9: Face Detection

Lecture 1: The Face API

Lecture 2: Getting the Source Code

Lecture 3: Detecting Faces

Lecture 4: Creating a People Group

Lecture 5: Adding a Person to a Group

Lecture 6: Adding Faces to a Person

Lecture 7: Identifying People

Lecture 8: Detecting Emotion in Faces

Chapter 10: Content Moderation

Lecture 1: Content Moderator Service

Lecture 2: Getting the Source Code

Lecture 3: Moderating Personal Information

Lecture 4: Moderating Profanity

Lecture 5: Moderating Images

Lecture 6: The Content Moderator Portal

Lecture 7: Creating a Moderation Workflow

Lecture 8: Executing a Workflow Programatically

Lecture 9: Getting a Jobs Result

Chapter 11: Video Indexer Service

Lecture 1: Setting up the Video Indexer Service

Lecture 2: Connecting to your Azure Subscription

Lecture 3: Getting the Source Code

Lecture 4: Indexing Video

Lecture 5: Getting Access Token for Indexing Video

Lecture 6: Uploading Video for Indexing

Lecture 7: Getting Video Index

Lecture 8: Getting Video Thumbnails

Lecture 9: Identifying People in Video

Chapter 12: Custom Vision Service

Lecture 1: The Custom Vision Service

Lecture 2: Getting the Source Code

Lecture 3: Classifying Images from Custom Vision Portal

Lecture 4: Creating a new Custom Vision Project from Code

Lecture 5: Creating the Tags for Classification

Lecture 6: Uploading Images and Assigning Tags

Lecture 7: Image Upload Error

Lecture 8: Training the Project Programatically

Lecture 9: Interations Performance

Lecture 10: Predicting the Classification of an Image

Chapter 13: Bot Services

Instructors

Tim Buchalkas Learn Programming Academy
Professional Programmers and Teachers – 2M students

Eduardo Rosas
Xamarin-Certified Mobile Developer, Software Engineer

Rating Distribution

1 stars: 9 votes

2 stars: 13 votes

3 stars: 50 votes

4 stars: 177 votes

5 stars: 213 votes

Frequently Asked Questions

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