We provide virtual course about AI-3003: Develop natural language processing solutions with Azure AI Services. Attend this 1-day course and learn how to create a natural language processing (NLP) solution by using Azure AI Language.
Course description:
Additionally, you'll also learn to perform post-migration tasks like disaster recovery and monitoring for Azure SQL Database. These skills are essential for ensuring a smooth, efficient transition to Azure SQL Database, and maintaining its operation post-migration.
Course content:
Module 1 - Analyze text with Azure AI Language:
• Provision an Azure AI Language resource
• Detect language
• Extract key phrases
• Analyze sentiment
• Extract entities and linked entities
• Exercise - Analyze text
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
Target audience:
AI Engineer, Developer, Solution Architect
Prerequisites:
• Familiarity with Azure and the Azure portal
• Experience programming with C# or Python
Level:
• Intermediate level
Language:
• English course material, norwegian or english speaking instructor