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Duration 14 hours
Course Outline
AI in Media: An Introduction
- Tracing the development of AI in content generation
- A survey of current AI technologies in the media sector
Deep Learning & DeepFake Technologies
- Grasping the fundamentals of deep learning
- DeepFake creation: examining tools, methods, and legal frameworks
Core Voice Cloning Concepts
- Overview of voice cloning systems
- Hands-on tasks focused on generating voice clones
Text-to-Speech (TTS) & Speech-to-Text (STT) Uses
- Investigating TTS and STT capabilities
- Embedding TTS and STT into creative workflows
AI-Powered Video Production
- Applying AI to synthesize video content
- Practical exercise: Producing a brief video using AI
AI Utilities for Creators
- A review of accessible AI tools and their functions
- Workshop: Testing a range of AI platforms
Ethical Dimensions of AI in Media
- Examining the moral aspects of AI-generated material
- Standards for the responsible deployment of AI in media
Applied Learning Modules
- Analysis of real-world scenarios and usage examples
- Collaborative group tasks and peer evaluations
- Capstone project: Developing a complete AI-driven media artifact
Recap & Future Directions
Requirements
- No previous background in AI or coding is necessary
- A genuine curiosity about modern technologies in media production
- An open mindset to testing new tools and creative methods
Target Audience
- Creators aiming to integrate AI into their production pipelines
- Entrepreneurs exploring AI's role in business innovation
- Individuals interested in the ethical dimensions and creative scope of DeepFake technology
