AI-3003 : Developing natural language processing solutions with Azure AI Services

Participants should have a solid understanding of creating and using various Azure NLP models via Language Studio and in code, including custom models. They should also have programming experience in Python or C#, be familiar with the Azure Portal, and be comfortable provisioning Azure AI resources.

A B1 level of English is recommended.

Analyze text with Azure AI Language

• Detect the language of the text.
• Analyze the sentiment of the text.
• Extract key phrases, entities, and linked entities.
• Create a question-and-answer solution

Understand question answering and how it compares to language understanding.

• Create, test, publish, and consume a knowledge base.
• Implement multi-turn conversation and active learning.
• Create a question-answering bot that interacts using natural language.
• Build a conversational language understanding model

Provision Azure resources for the Azure AI Language service.

• Define intents, utterances, and entities.
• Use models to differentiate similar utterances.
• Use prebuilt entity components.
• Train, test, publish, and revise an Azure AI Language model.
• Create a custom text classification solution

Understand the types of classification projects.

• Create a custom text classification project.
• Label data, train and deploy a model.
• Submit classification tasks from your own application.
• Create a custom named entity extraction solution

Understand custom named entities and how they are labeled.

• Build a linguistic service project.
• Label data, train, and deploy an entity extraction model.
• Submit extraction tasks from your own application.
• Translate text with Azure AI Translator service

Provision a Translator resource.

• Understand language detection, translation, and transliteration.
• Specify translation options.
• Define custom translations.
• Create voice applications with Azure AI services

Provision an Azure resource for the Azure AI Speech service.

• Use the Azure AI Speech to Text API to implement speech recognition.
• Use the Text to Speech API to implement speech synthesis.
• Configure audio format and voices.
• Use Speech Synthesis Markup Language (SSML).
• Translate speech with Azure AI Speech service

Provision Azure resources for speech translation.

• Generate text translation from speech.
• Synthesize speech translations.

Published on 16/02/2024

In this training, we mix theory with technical workshops to quickly make you operational. Additionally, each participant receives course materials at the end of the training.

One of our consultant trainers conducts the training. With solid field experience, they make the learning process both interactive and enriching.

For assessment, the trainer regularly asks questions and uses various methods to continuously measure your progress. This approach promotes a dynamic and engaging learning experience.

After the training, we ask you to complete a satisfaction questionnaire. Your feedback helps us to maintain and constantly improve the quality of our training.

Finally, we offer the flexibility to deliver this training both in-person and remotely, and it can be customized to meet your company’s specific needs upon request.

You can register for one of our training courses up to two business days before it starts, if there are still available places and you signed quote.

If you have specific needs related to a disability, please do not hesitate to make a request; we are happy to adjust our services according to the type of disability.