Introduction to Audio AI Training Course
Audio AI refers to artificial intelligence technologies that interpret, analyze, generate, or interact with audio signals, such as human speech, environmental sounds, and music.
This instructor-led, live training (online or onsite) is designed for beginner-level professionals who want to understand how AI is applied in the audio domain for business, communication, automation, and innovation.
By the end of this training, participants will be able to:
- Understand what Audio AI is and how it is used in real-world scenarios.
- Identify various categories of audio AI tools, such as transcription, classification, and generation.
- Explore business applications in customer service, security, compliance, and media.
- Evaluate AI tools and services that are suitable for enterprise audio solutions.
Format of the Course
- Interactive lecture and discussion sessions.
- Numerous exercises and practice activities.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction to Audio AI
- Defining Audio AI and its key capabilities
- Differences between voice, sound, and speech AI
- Examples of popular tools and platforms
Categories of Audio AI Applications
- Speech recognition and automatic transcription
- Voice assistants and conversational agents
- Audio classification and event detection
Use Cases Across Industries
- Customer service and contact centers
- Media, podcasting, and education
- Security, compliance, and law enforcement
Working with Audio AI Tools (Demos)
- Live transcription using Whisper or Azure Speech
- Basic audio enhancement with AI noise reduction
- Overview of tools for voice cloning and generation
Choosing the Right Platform
- Cloud APIs vs open-source libraries
- Evaluating costs, accuracy, and scalability
- Vendor comparison: Google, Microsoft, OpenAI, ElevenLabs
Ethical and Legal Considerations
- Audio data privacy and consent
- Use of generated voices and deepfakes
- Guidelines for safe and compliant deployment
Exploration Lab: Applying Audio AI Concepts
- Hands-on exploration of transcription, noise reduction, and classification tools
- Small-group exercises: choosing a business case and mapping AI tool fit
- Team-based discussion: challenges, assumptions, and success criteria
Summary and Next Steps
Requirements
- An understanding of general AI or data-related terminology
- Familiarity with digital workflows or enterprise systems
Audience
- Business leaders exploring AI-driven voice and audio solutions
- Product managers and innovation teams evaluating use cases
- Government or corporate staff involved in digital transformation
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Testimonials (1)
Training and examples
Szymon Rock - Koenig & Bauer (CEE) Sp. z o.o.
Course - AI Tools for Administrative Efficiency (ChatGPT, Copilot, Gemini)
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