Abstract
The previous chapters provided detailed case studies and comparative analysis of AI adoption in the music industry, focusing on stakeholders such as a music artist and publisher (Diana Hopeson), a music producer (Stanley Dartey, also known as Paq), and a content creator (Lisa Quama). Building on these insights, this chapter offers a syllabus for training stakeholders in the application of artificial intelligence (AI) within the music industry. Spanning 14 weeks, the program is structured into six comprehensive modules that cover AI fundamentals, music creation, production, distribution, marketing, consumption, and education. Each module combines theoretical knowledge with practical exercises, case studies, and project work, ensuring participants gain hands-on experience. The syllabus emphasizes ethical considerations and real-world applications, providing a holistic understanding of AI’s impact on the music industry and equipping participants with the skills to innovate and excel in this dynamic field.
| Original language | English |
|---|---|
| Title of host publication | AI and the Music Industry |
| Subtitle of host publication | Transforming Production, Platforms, and Practice |
| Publisher | Taylor and Francis |
| Pages | 150-166 |
| Number of pages | 17 |
| ISBN (Electronic) | 9781040332580 |
| ISBN (Print) | 9781032978307 |
| DOIs | |
| Publication status | Published - 1 Jan 2025 |
| Externally published | Yes |