Develop natural language solutions in Azure (AI-3003) Eğitimi

Before starting this course, 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.

In this course you’ll learn

• Analyze text with Azure AI Language
• Create question answering solutions with Azure AI Language
• Build a conversational language understanding model
• Create a custom text classification solution
• Custom named entity recognition Translate text with Azure AI Translator service
• Create speech-enabled apps with Azure AI services
• Translate speech with the Azure AI Speech service
• Develop an audio-enabled generative AI application

Module 1: Analyze text with Azure AI Language

• Provision an Azure AI Language resource
• Detect language
• Extract key phrases
• Analyze sentiment
• Extract entities
• Extract linked entities

Module 2: 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

Module 3: 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

Module 4: Create a custom text classification solution

• Understand types of classification projects
• Understand how to build text classification projects
• Exercise - Classify text

Module 5: Custom named entity recognition

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

Module 6: 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

Module 7: 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

Module 8: Translate speech with the Azure AI Speech service

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

Module 9: Develop an audio-enabled generative AI application

• Deploy a multimodal model
• Develop an audio-based chat app
• Exercise - Develop an audio-enabled chat app