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Course Outline
Introduction to Generative AI in Entertainment
- The emergence of AI in creative industries.
- Overview of generative models and underlying algorithms.
- Understanding the collaborative dynamic between AI and artists.
AI in Music Creation
- Algorithmic composition and sound design techniques.
- Key tools and platforms for AI-generated music.
- Analysing AI’s contribution to music production and performance.
AI in Literature and Scriptwriting
- AI-driven storytelling and narrative generation.
- Tools for automated writing and content development.
- Case studies: Books and scripts assisted by AI.
AI in Visual Arts and Design
- Generative models for creating visual content.
- The role of AI in animation and graphic design.
- The future trajectory of AI in film and visual effects.
AI in Video Game Development
- Procedural generation and dynamic content creation.
- Enhancing gameplay through AI-driven characters and environments.
- The impact of AI on game design and player interaction.
Ethical and Societal Considerations
- Authenticity and originality in AI-generated content.
- Intellectual property rights in the AI era.
- The broader societal impact of AI in entertainment.
Capstone Project and Future Directions
- Conceptualising and producing an AI-generated entertainment piece.
- Presenting and critiquing project outcomes.
- The evolving landscape of AI in the entertainment sector.
Requirements
- A foundational understanding of artificial intelligence and machine learning.
- Familiarity with basic programming concepts.
- A strong interest in creative arts and the entertainment sector.
Target Audience
- Visual and digital artists.
- Musicians and sound designers.
- Video game developers.
- Professionals across the entertainment industry.
21 Hours
Testimonials (2)
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt
