Natural Language Processing in Microsoft Azure
Learn to implement text analytics, speech recognition, language translation, and conversational AI using Azure cognitive services.
Learn to implement text analytics, speech recognition, language translation, and conversational AI using Azure cognitive services.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Use Text Analytics service for sentiment analysis, key phrase extraction, entity recognition, and language detection
Implement speech recognition and synthesis with Azure Cognitive Services
Create applications that translate text and speech between languages
Build Language Understanding models to interpret user intent from natural language
Develop conversational AI solutions using QnA Maker and Azure Bot Service
Integrate natural language processing capabilities into applications
Skills you'll gain
This course includes:
0.7 Hours PreRecorded video
13 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This comprehensive course explores natural language processing capabilities in Microsoft Azure, focusing on key cognitive services for text and speech processing. Students begin by learning to use the Text Analytics service for sentiment analysis, key phrase extraction, named entity recognition, and language detection. The curriculum then covers speech recognition and synthesis using Azure's Speech service. The second module introduces translation services that enable both text and speech translation across multiple languages. Students also learn about Language Understanding (LUIS), which allows applications to interpret user intent from natural language input. The final module covers conversational AI, teaching students to implement QnA Maker and Azure Bot Service to create interactive chat applications. Throughout the course, hands-on exercises provide practical experience with these services, preparing students for the AI-900 Microsoft Azure AI Fundamentals certification exam.
Text and Speech Processing with Azure AI Services
Module 1 · 3 Hours to complete
Work with Language in Azure AI
Module 2 · 2 Hours to complete
Explore conversational AI
Module 3 · 1 Hours to complete
Fee Structure
Instructor
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4.7 course rating
98 ratings
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