Smart and Sustainable AI-Powered Content Creation for Audiovisual Content Production
Description
Program summary
A core component of the program is alignment with the European Union Artificial Intelligence Act (AI Act). Participants will examine risk categorization, transparency obligations, synthetic content labeling (including deepfakes), data governance standards, and human oversight requirements as they apply to audiovisual production environments. The objective is to enable faster and more scalable creative output while minimizing legal exposure and ensuring audit-ready documentation and compliance structures.
Format: Delivered online. If a specific program includes live sessions, an on-campus visit, or any in-person component, this will be clearly stated on the program page.
What you will gain:
• Design AI-enabled audiovisual production architectures
• Apply EU AI Act risk classification and compliance frameworks
• Establish transparency, copyright, and data governance control points
• Structure prompt design, model selection, and quality assurance processes
• Build sustainable, cost-efficient AI content operations
Who should attend:
Corporate communications teams, media and content creators, marketing departments, creative agencies, AI product managers, legal/compliance teams, and professionals overseeing AI-driven content production.
Course outline:
1. AI ecosystem for audiovisual production: text, image, video, and audio systems
2. Prompt engineering and creative direction strategies
3. Post-production automation: editing, subtitles, dubbing, multilingual output
4. EU AI Act: risk tiers, transparency duties, and deepfake disclosure requirements
5. Data governance and intellectual property: training data, licensing, ownership
6. AI governance frameworks: human oversight, documentation, traceability
7. Sustainable operations: balancing cost, scale, and quality
8. Applied workshop: corporate AI content policy + risk matrix + compliance checklist
Modules
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What is included
Lessons
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Content sections
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Program details
Content sections
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