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Member for 9 years
[udemy] Microsoft Applied Skills: Azure AI Language
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 47 Lectures ( 3h 19m ) | Size: 1.5 GB
Use the Portal, Python and C# to Extract Information, Classify Text,
Ask Questions, and Summarize Text-Azure AI Language
What you'll learn
Deploy a language resource
Use prebuilt models
Create a custom text classification solution
Create a custom named entity recognition (NER) solution
Requirements
There are no requirements for watching the course.
We'll look at how you can get a free trial of Azure for use in this course.
If you want to use the code in this course, you will need a Windows machine or some Linux systems.
You cannot currently use this code on MacOS, Android or iOS devices. However,
you can watch the videos in this course on these devices.
Who this course is for:
This is for you if you want extract key phrases, linked or named entities, PII (personally identifiable information),
classify text, including analyzing sentiment, answer questions and summarize text.
This course will guide you through the skills required for the Microsoft Applied Skills credential
"Build a natural language processing solution with Azure AI Language".
Download
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 47 Lectures ( 3h 19m ) | Size: 1.5 GB
Use the Portal, Python and C# to Extract Information, Classify Text,
Ask Questions, and Summarize Text-Azure AI Language
What you'll learn
Deploy a language resource
Use prebuilt models
Create a custom text classification solution
Create a custom named entity recognition (NER) solution
Requirements
There are no requirements for watching the course.
We'll look at how you can get a free trial of Azure for use in this course.
If you want to use the code in this course, you will need a Windows machine or some Linux systems.
You cannot currently use this code on MacOS, Android or iOS devices. However,
you can watch the videos in this course on these devices.
Microsoft Azure allows you to extract information from your text. Among other things,
you can classify and summarize text, and ask it questions.
In this 3 hour course we’ll cover the skills that you need for the Microsoft Applied Skills credential
for building a natural language processing solution with Azure AI Language.
It will also help with the Microsoft exam AI-102 "Designing and Implementing a Microsoft Azure AI Solution".
First, we’ll sign up for a free Azure subscription. Then, we’ll create a Language resource, and use it to analyze text.
We’ll use the pre-built models to detect the language, extract key phrases, recognise entities and sentiment, and more.
After that, we’ll analyze the text using Python and C#.
We connect to the Language resource and analyse text, extracting the information for use in our own programmes.
Finally, we’ll create our own custom models for text classification and named entity recognition extraction.
We’ll upload documents into an Azure Storage Account container, train the model based on labels, and test it using the portal, Python and C#.
There are several practice activities and quizzes throughout the course, so you can be sure that you are learning.
By the end of the course, you'll be able to analyse your own text in the portal and using Python and C#,
and perhaps even take the official Microsoft assessment.
That would look great on your CV or resume.
you can classify and summarize text, and ask it questions.
In this 3 hour course we’ll cover the skills that you need for the Microsoft Applied Skills credential
for building a natural language processing solution with Azure AI Language.
It will also help with the Microsoft exam AI-102 "Designing and Implementing a Microsoft Azure AI Solution".
First, we’ll sign up for a free Azure subscription. Then, we’ll create a Language resource, and use it to analyze text.
We’ll use the pre-built models to detect the language, extract key phrases, recognise entities and sentiment, and more.
After that, we’ll analyze the text using Python and C#.
We connect to the Language resource and analyse text, extracting the information for use in our own programmes.
Finally, we’ll create our own custom models for text classification and named entity recognition extraction.
We’ll upload documents into an Azure Storage Account container, train the model based on labels, and test it using the portal, Python and C#.
There are several practice activities and quizzes throughout the course, so you can be sure that you are learning.
By the end of the course, you'll be able to analyse your own text in the portal and using Python and C#,
and perhaps even take the official Microsoft assessment.
That would look great on your CV or resume.
Who this course is for:
This is for you if you want extract key phrases, linked or named entities, PII (personally identifiable information),
classify text, including analyzing sentiment, answer questions and summarize text.
This course will guide you through the skills required for the Microsoft Applied Skills credential
"Build a natural language processing solution with Azure AI Language".
Download
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