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 Duration 14 hours

Course Outline

Fundamentals of Audio AI

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

Categories of Audio AI Applications

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

Industry-Specific Applications

  • Customer service and contact center operations
  • Media production, podcasting, and educational content
  • Security, regulatory compliance, and law enforcement

Practical Engagement with Audio AI Tools (Demonstrations)

  • Real-time transcription utilizing Whisper or Azure Speech
  • Basic audio enhancement through AI-based noise reduction
  • Overview of tools for voice cloning and generation

Selecting the Appropriate Platform

  • Comparison of cloud APIs versus open-source libraries
  • Assessment of costs, accuracy, and scalability factors
  • Vendor analysis: Google, Microsoft, OpenAI, and ElevenLabs

Ethical and Legal Perspectives

  • Privacy of audio data and consent protocols
  • Usage of synthetic voices and deepfake technology
  • Best practices for safe and compliant deployment

Exploratory Lab: Implementing Audio AI Concepts

  • Hands-on investigation of transcription, noise reduction, and classification tools
  • Small-group activities: selecting a business scenario and mapping appropriate AI tool fit
  • Collaborative discussions: identifying challenges, assumptions, and success metrics

Recap and Future Directions

Requirements

  • Basic knowledge of general AI or data-related terminology
  • Familiarity with digital workflows or enterprise systems

Intended Participants

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

Testimonials (1)

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