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Course Outline
Introduction to AI in Media
- The trajectory of AI in content creation.
- A survey of current AI technologies prevalent in the media industry.
Deep Learning and DeepFake Technology
- Foundational concepts of deep learning.
- DeepFake creation: essential tools, techniques, and legal frameworks.
Voice Cloning Fundamentals
- An introduction to the mechanics of voice cloning.
- Practical drills in generating voice clones.
Text-to-Speech (TTS) and Speech-to-Text (STT) Applications
- An exploration of TTS and STT technologies.
- Integrating TTS and STT into creative workflows.
AI-Driven Video Production
- Techniques for generating video content using AI.
- Practical exercise: Producing a short AI-generated video.
AI Tools for Content Creators
- A review of available AI tools and their specific use cases.
- Workshop: Hands-on experimentation with various AI platforms.
Ethical Considerations of AI in Media
- Analysis of the ethical challenges associated with AI-generated content.
- Best practices for responsible AI utilization in the media sector.
Applied Learning Sessions
- Real-world case studies and practical applications.
- Collaborative group projects and peer feedback.
- Capstone project: Developing a comprehensive AI-driven media asset.
Course Summary and Future Directions
Requirements
- No prior expertise in AI or programming is necessary.
- A genuine interest in exploring the latest technological advancements in media production.
- An openness to experimenting with new tools and creative methodologies.
Target Audience
- Content creators seeking to integrate AI into their production workflows.
- Entrepreneurs aiming to leverage AI for business innovation.
- Individuals curious about the creative potential and ethical dimensions of DeepFake technology.
14 Hours
