Build a natural language processing solution with Azure AI Services

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Szkolenie AI-3003_Z

Build a natural language processing solution with Azure AI Services

Rozwiązania IT Microsoft Programowanie i tworzenie aplikacji Dane, Analityka, AI i ML Dane, Analityka, AI i ML Analiza danych, AI i Machine Learning Programowanie i tworzenie aplikacji Programowanie

Akredytacja

Opis szkolenia

AI-3003 – Build a natural language processing solution with Azure AI Services is intended for software developers wanting to build AI infused applications that leverage Azure AI Services and Azure AI Language. The course will use C# or Python as the programming language. The scenario in this experience represents real-world challenges faced by software developers, AI engineers, and citizen developers.

After completing this course, students will be able to:

Design a solution that processes natural language with Azure AI Language.
Create a solution that analyzes text using preconfigured features.
Train a model for a custom language solution for question answering and conversational language understanding.
Understand, synthesize, and translate speech

Audience profile

Microsoft Azure AI engineers build, manage, and deploy AI solutions that make the most of Azure AI Services and Azure services. Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, integration, maintenance, performance tuning, and monitoring.

These professionals work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, infrastructure administrators, and other software developers to build complete end-to-end AI solutions.

Azure AI engineers have experience developing solutions that use languages such as Python or C# and should be able to use REST-based APIs and software development kits (SDKs).

Before attending this course, students must have:

Knowledge of Microsoft Azure and ability to navigate the Azure portal
Knowledge of either C# or Python
Familiarity with JSON and REST programming semantics

To gain C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course.

If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals course before taking this one.

Zakres

Analyze text with Azure AI Language

Provision an Azure AI Language resource
Detect language
Extract key phrases
Analyze sentiment
Extract entities
Extract linked entities
Exercise – Analyze text

Create question answering solutions with Azure AI Language

Understand question answering
Compare question answering to Azure AI Language understanding
Create a knowledge base
Implement multi-turn conversation
Test and publish a knowledge base
Use a knowledge base
Improve question answering performance
Exercise – Create a question answering solution

Build a conversational language understanding model

Understand prebuilt capabilities of the Azure AI Language service
Understand resources for building a conversational language understanding model
Define intents, utterances, and entities
Use patterns to differentiate similar utterances
Use pre-built entity components
Train, test, publish, and review a conversational language understanding model
Exercise – Build an Azure AI services conversational language understanding model

Create a custom text classification solution

Understand types of classification projects
Understand how to build text classification projects
Exercise – Classify text

Custom named entity recognition

Understand custom named entity recognition
Label your data
Train and evaluate your model
Exercise – Extract custom entities

Translate text with Azure AI Translator service

Provision an Azure AI Translator resource
Understand language detection, translation, and transliteration
Specify translation options
Define custom translations
Exercise – Translate text with the Azure AI Translator service

Create speech-enabled apps with Azure AI services

Provision an Azure resource for speech
Use the Azure AI Speech to Text API
Use the text to speech API
Configure audio format and voices
Use Speech Synthesis Markup Language
Exercise – Create a speech-enabled app

Translate speech with the Azure AI Speech service

Provision an Azure resource for speech translation
Translate speech to text
Synthesize translations
Exercise – Translate speech

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