COURSE OBJECTIVE:
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TARGET AUDIENCE:
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COURSE PREREQUISITES:
Before starting this learning path, you should already have:
• 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 one.
COURSE CONTENT:
Module 1: Analyze text with Azure AI Language
• Detect language from text
• Analyze text sentiment
• Extract key phrases, entities, and linked entities
Module 2: Create question answering solutions with Azure AI Language
• 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 to interact with using natural language.
Module 3: Build a conversational language understanding model
• Provision Azure resources for Azure AI Language resource
• Define intents, utterances, and entities
• Use patterns to differentiate similar utterances
• Use pre-built entity components
• Train, test, publish, and review an Azure AI Language model
Module 4: Create a custom text classification solution
• Understand types of classification projects
• Build a custom text classification project
• Tag data, train, and deploy a model
• Submit classification tasks from your own app
Module 5: Custom named entity recognition
• Understand tagging entities in extraction projects
• Understand how to build entity recognition projects
Module 6: Translate text with Azure AI Translator service
• Provision a Translator resource
• Understand language detection, translation, and transliteration
• Specify translation options
• Define custom translations
Module 7: Create speech-enabled apps 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)
Module 8: Translate speech with the Azure AI Speech service
• Provision Azure resources for speech translation.
• Generate text translation from speech.
• Synthesize spoken translations.
FOLLOW ON COURSES:
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