AI for Content Creation

Course overview

Goals of the Training The focus of the training AI for Content Creation is on imparting knowledge and skills in the field of Artificial Intelligence (AI) and its application in media production. The course covers the fundamentals of Artificial Intelligence and highlights ethical and legal aspects that must be considered when using AI. Another emphasis is on AI-based media production, particularly on the creation of Synthetic Content. The training also includes a project introducing generative AI, which connects the theoretical content of the individual topics. By engaging with these contents, a comprehensive understanding of the possibilities and challenges of AI in content creation is conveyed. The course provides a solid foundation for the application of AI technologies in creative processes. Contents of the Training Artificial Intelligence History of AI Modern AI Systems Reinforcement Learning Natural Language Processing (NLP) Computer Vision Ethical and Legal Aspects in AI Ethical Aspects of AI AI Regulations and Compliance Responsible AI in Practice Privacy Protection in AI Applications Societal Impacts of AI Applications AI Explainability Methods AI-based Media Production: Synthetic Content Applications of AI-based Media Production Synthetic Text Generation for Journalistic or Marketing Tasks Synthetic Image Generation in Illustration, Art, Advertising, Game Design, and Architecture Synthetic Voice and Sound Generation Synthetic Video Generation and Deepfakes Societal Impacts and Risk-Benefit Assessment Project: AI Fluency - Introduction to Generative AI The course teaches the competent classification and selection of AI tools and shows, among other things, how to develop professional prompts using the R.C.C.E. method. Students learn to critically evaluate AI results, effectively integrate human-AI collaboration into workflows, and use AI responsibly and reflectively.

Upcoming dates

• 2026-11-16T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Duisburg · Blended Learning
• 2026-11-16T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Nürnberg, Mittelfranken · Blended Learning
• 2026-11-16T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Mannheim · Blended Learning
• 2026-11-16T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Leipzig · Blended Learning
• 2026-11-16T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Hannover · Blended Learning