AI-3003 Build a natural language processing solution with Azure AI Services
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Price Price on Request
Duration
1 day
Location
Course Language English
Training Solutions Online Live
Voice-based AI shapes modern applications, processes, and digital products. Intelligent text processing opens up new possibilities for automation, analysis, and user-friendly interaction in cloud-based environments.
Key topics
- Natural language processing with Azure AI Services.
- Text analysis, language comprehension, and semantic evaluation.
- Use of modern NLP models and AI APIs.
- Integration into scalable Azure architectures.
- Security, data protection, and responsible AI use.
Prerequisites
Basic knowledge of cloud technologies, Azure, and AI or machine learning is recommended. Experience with APIs and data structures is helpful.
Target audience
IT professionals, developers, data and cloud specialists, and technical roles with a focus on AI-supported language processing and Azure-based solutions.
The content helps participants confidently integrate language-intelligent solutions into professional cloud environments and develop them further in a sustainable manner—with a clear focus on practical relevance, technological relevance, and long-term usability.
- Provisioning an Azure AI language resource
- Detect speech
- Extracting key phrases
- Analyze sentiment
- Extract entities
- Extract linked entities
- Understanding answers to questions
- Comparing question answering with Azure AI's language comprehension
- Creating a knowledge base
- Implementing multi-turn conversation
- Testing and publishing a knowledge base
- Using a knowledge base
- Improve question answering performance
- Understanding the prebuilt capabilities of Azure AI Language Service
- Resources for building a model to understand conversational language
- Defining intents, utterances, and entities
- Use patterns to distinguish similar utterances
- Use prebuilt entity components
- Train, test, publish, and review a model for understanding conversational language
- Understanding types of classification projects
- Understanding how to create text classification projects
- Understanding custom named entity recognition
- Labeling data
- Train and evaluate the model
- Provisioning an Azure AI Translator resource
- Understanding speech recognition, translation, and transliteration
- Setting translation options
- Defining custom translations
- Provisioning an Azure resource for speech
- Using the Azure AI Speech to Text API
- Using the text-to-speech API
- Configuring audio format and voices
- Using Speech Synthesis Markup Language
- Provisioning an Azure resource for language translation
- Translating speech to text
- Synthesizing translations
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