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
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 APL-3003 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.
