Intro to Natural Language Processing in Microsoft Azure
Master NLP with Azure Cognitive Services, covering text analytics, speech processing, language understanding, and conversational AI.
Master NLP with Azure Cognitive Services, covering text analytics, speech processing, language understanding, and conversational AI.
Natural language processing (NLP) supports applications that can see, hear, speak with, and understand users. This comprehensive course introduces you to Microsoft Azure's powerful NLP capabilities through its cognitive services. You'll learn to implement text analytics for sentiment analysis, key phrase extraction, named entity recognition, and language detection. The course covers speech recognition and synthesis, enabling applications to process spoken language. You'll explore automated translation services that remove language barriers, and learn how the Language Understanding service helps create applications that interpret user intent. Additionally, you'll discover conversational AI through QnA Maker and Azure Bot Service for creating intelligent chatbots. This beginner-friendly course provides hands-on experience with practical exercises and prepares you for the AI-900 Microsoft Azure AI Fundamentals certification exam.
Instructors:
English
Қазақша, Deutsch, हिन्दी, 18 more
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What you'll learn
Use Text Analytics service to analyze sentiment, extract key phrases, recognize entities, and detect languages
Implement speech recognition and synthesis with Azure Cognitive Services
Create translation solutions that convert text and speech between languages
Build applications that understand language intent using Language Understanding
Develop conversational AI solutions using QnA Maker and Bot Framework
Design natural language interfaces for applications and services
Skills you'll gain
This course includes:
0.75 Hours PreRecorded video
13 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 3 modules in this course
This course provides a comprehensive introduction to Natural Language Processing (NLP) using Microsoft Azure's cognitive services. Students learn to implement a variety of NLP applications through Azure's pre-built AI services without requiring extensive programming or machine learning expertise. The curriculum is organized into three main modules covering different aspects of language processing: text and speech processing, language understanding and translation, and conversational AI. Through practical hands-on exercises, students gain experience analyzing text for sentiment and key phrases, recognizing named entities, detecting languages, converting speech to text and back, translating between languages, building language understanding models, and creating intelligent bots. This foundation in NLP prepares students for the AI-900 certification exam while developing practical skills applicable to real-world AI development.
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
Empowering Individuals and Organizations Through Technology
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