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Course Outline

Introduction to Audio AI <\/p>

  • Defining Audio AI and its key capabilities. <\/li>
  • Differences between voice, sound, and speech AI. <\/li>
  • Examples of popular tools and platforms. <\/li> <\/ul>

    Categories of Audio AI Applications <\/p>

    • Speech recognition and automatic transcription. <\/li>
    • Voice assistants and conversational agents. <\/li>
    • Audio classification and event detection. <\/li> <\/ul>

      Use Cases Across Industries <\/p>

      • Customer service and contact centers. <\/li>
      • Media, podcasting, and education. <\/li>
      • Security, compliance, and law enforcement. <\/li> <\/ul>

        Working with Audio AI Tools (Demos) <\/p>

        • Live transcription using Whisper or Azure Speech. <\/li>
        • Basic audio enhancement with AI noise reduction. <\/li>
        • Overview of tools for voice cloning and generation. <\/li> <\/ul>

          Choosing the Right Platform <\/p>

          • Cloud APIs vs. open-source libraries. <\/li>
          • Evaluating costs, accuracy, and scalability. <\/li>
          • Vendor comparison: Google, Microsoft, OpenAI, ElevenLabs. <\/li> <\/ul>

            Ethical and Legal Considerations <\/p>

            • Audio data privacy and consent. <\/li>
            • Use of generated voices and deepfakes. <\/li>
            • Guidelines for safe and compliant deployment. <\/li> <\/ul>

              Exploration Lab: Applying Audio AI Concepts <\/p>

              • Hands-on exploration of transcription, noise reduction, and classification tools. <\/li>
              • Small-group exercises: choosing a business case and mapping AI tool fit. <\/li>
              • Team-based discussion: challenges, assumptions, and success criteria. <\/li> <\/ul>

                Summary and Next Steps <\/p>

Requirements

  • A basic understanding of general AI or data-related terminology. <\/li>
  • Familiarity with digital workflows or enterprise systems. <\/li> <\/ul>

    Audience<\/strong> <\/p>

    • Business leaders exploring AI-driven voice and audio solutions. <\/li>
    • Product managers and innovation teams evaluating use cases. <\/li>
    • Government or corporate staff involved in digital transformation initiatives. <\/li> <\/ul>
 14 Hours

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