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Voice AI: Building Voice Applications
Coursera
Course
Unknown

Voice AI: Building Voice Applications

Coursera

Beginner course on building voice applications using speech recognition, NLP, and text-to-speech with real projects and testing strategies.

Unknown3 weeksEnglish

About this Course

Build Practical Voice Apps: From Basics to Implementation is a beginner-level course designed to help developers create voice applications that users actually want to use. As voice AI transforms industries from healthcare to retail, the demand for skilled voice application developers continues to grow. This course provides hands-on experience with the core technologies—speech recognition, natural language processing, and text-to-speech—while emphasizing real-world implementation challenges and user experience design. Through practical projects, real-world case studies from companies like Deepgram and VAPI AI, and comprehensive testing strategies, you'll learn to build voice applications that solve genuine business problems. The course covers everything from choosing the right APIs and optimizing for different environments to integrating with existing systems and deploying production-ready solutions. Whether you're adding voice features to existing applications or creating entirely new voice-first experiences, this course gives you the practical skills and strategic thinking needed to succeed in the rapidly evolving voice AI landscape

What You'll Learn

  • Build practical voice applications
  • Complete practical projects and real-world case studies
  • Apply comprehensive testing strategies

Prerequisites

  • Basic computer and internet skills
  • Ability to read course instructions and complete short practice activities

Instructors

H

Hurix Digital

Topics

Machine Learning
Data Science
Data Analysis
Natural Language Processing
User Experience Design
Application Development
Artificial Intelligence
Case Studies
Scalability
Business Analysis

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

التعلم الآلي
علوم البيانات
تحليل البيانات
معالجة اللغة الطبيعية
تصميم تجربة المستخدم
تطوير التطبيقات
الذكاء الاصطناعي
دراسات الحالة
Scalability
Business Analysis

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