Course
Develop Natural Language Solutions in Azure – Intensive Training («AI3X3»)
Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language.
Duration
1 day
Price
900.–
Course documents
Official Microsoft Courseware on Microsoft Learn
Course facts
Key Learnings
- Designing and creating solutions for analyzing various business and custom forms, including integrating Document Intelligence as a custom skill in Azure Cognitive Search
- Implementing multi-turn conversations and active learning for question answering bots, defining intents and entities, and training and deploying Azure AI Language models
- Building custom text classification projects, including data tagging and submitting classification tasks from applications
- Provisioning a Translator resource to understand language detection, translation, and transliteration, and specifying and defining custom translation options
- Provisioning an Azure AI Speech resource to implement speech recognition and synthesis using the Speech to Text and Text to speech APIs, configuring audio formats and voices, and utilizing SSML
- Provisioning Azure resources for speech translation to generate text translations from speech and synthesizing spoken translations
Content
1 Analyze text with Azure AI Language
The Azure AI Language service enables you to create intelligent apps and services that extract semantic information from text.
2 Create question answering solutions with Azure AI Language
The question answering capability of the Azure AI Language service makes it easy to build applications in which users ask questions using natural language and receive appropriate answers.
3 Build a conversational language understanding model
The Azure AI Language conversational language understanding service (CLU) enables you to train a model that apps can use to extract meaning from natural language.
4 Create a custom text classification solution
The Azure AI Language service enables processing of natural language to use in your own app. Learn how to build a custom text classification project.
5 Custom named entity recognition
Build a custom entity recognition solution to extract entities from unstructured documents.
6 Translate text with Azure AI Translator service
The Translator service enables you to create intelligent apps and services that can translate text between languages.
7 Create speech-enabled apps with Azure AI services
The Azure AI Speech service enables you to build speech-enabled applications. This module focuses on using the speech-to-text and text to speech APIs, which enable you to create apps that are capable of speech recognition and speech synthesis.
8 Translate speech with Azure AI Speech service
Translation of speech builds on speech recognition by recognizing and transcribing spoken input in a specified language, and returning translations of the transcription in one or more other languages.
Target audience
The audience for this course includes AI engineers and developers.
Requirements
- Familiarity with Azure and the Azure portal
- Experience programming with C# or Python
- If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before starting this workshop
Additional information
This workshop is integrated into the course AI-102: Designing and Implementing a Microsoft Azure AI Solution.
Download
Questions
We currently do not have any dates scheduled.
But we can arrange one for you. We will be happy to advise you individually on your course planning.
Contact us