Get in Touch
 Duration 14 hours

Course Outline

Fundamentals of Audio AI

  • Defining Audio AI and its core capabilities
  • Distinguishing between voice, sound, and speech AI
  • Case studies of widely used tools and platforms

Types of Audio AI Applications

  • Speech recognition and automated transcription
  • Voice assistants and conversational agents
  • Audio classification and event detection

Industry-Specific Use Cases

  • Customer service and contact center operations
  • Media production, podcasting, and education sectors
  • Security, compliance, and law enforcement applications

Practical Tool Demonstrations

  • Live transcription using Whisper or Azure Speech
  • Basic audio enhancement via AI-powered noise reduction
  • Introduction to tools for voice cloning and generation

Selecting the Appropriate Platform

  • Comparing Cloud APIs with open-source libraries
  • Analyzing costs, accuracy, and scalability
  • Vendor assessment: Google, Microsoft, OpenAI, ElevenLabs

Ethical and Legal Implications

  • Privacy and consent regarding audio data
  • Implications of using generated voices and deepfakes
  • Best practices for safe and compliant deployment

Exploration Lab: Applying Audio AI Principles

  • Practical exploration of transcription, noise reduction, and classification tools
  • Group activities: identifying a business case and matching it with suitable AI tools
  • Team discussions: examining challenges, assumptions, and success metrics

Recap and Future Directions

Requirements

  • A solid grasp of general AI or data-related terminology
  • Familiarity with digital workflows or enterprise systems

Target Audience

  • Business leaders investigating AI-driven voice and audio solutions
  • Product managers and innovation teams assessing potential use cases
  • Government or corporate personnel engaged in digital transformation initiatives

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories