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Course Outline
AI in Media: An Introduction
- Tracing the progression of AI within content creation.
- A survey of current AI technologies utilized in media.
Deep Learning & DeepFake Mechanics
- Grasping the fundamental concepts of deep learning.
- DeepFake creation: Exploring tools, techniques, and legal frameworks.
Fundamentals of Voice Cloning
- An introduction to the mechanics of voice cloning technology.
- Practical drills focused on generating voice clones.
Applications of TTS and STT
- Investigating Text-to-Speech (TTS) and Speech-to-Text (STT) capabilities.
- Embedding TTS and STT solutions into creative workflows.
AI-Powered Video Production
- Techniques for generating video content using AI.
- Practical exercise: Producing a short-form video generated by AI.
Essential AI Tools for Creators
- An overview of available AI software and their specific applications.
- Workshop session: Testing and comparing various AI tools.
Ethics in AI Media Usage
- Examining the ethical dilemmas surrounding AI-generated content.
- Guidelines for the responsible and ethical application of AI in media.
Applied Learning Sessions
- Analysis of real-world case studies and practical applications.
- Collaborative group projects and peer feedback processes.
- Capstone project: Designing a complete AI-driven media artifact.
Recap and Future Directions
Requirements
- No previous background in AI or coding is necessary.
- A strong curiosity regarding state-of-the-art technology in media production.
- An openness to experimenting with emerging tools and creative methodologies.
Target Audience
- Content creators seeking to streamline their workflow with AI integration.
- Entrepreneurs exploring AI as a catalyst for business innovation.
- Individuals interested in understanding the ethical dimensions and creative potential of DeepFake technology.
14 Hours
