AI in Content Production.

Objectives of the sub-course "AI in content production" After completing the course with a passing grade, the student shall be able to: Understand and explain AI and machine learning concepts and techniques Describe a number of AI-driven tools and platforms for content creation Reason about ethical and legal considerations in AI-driven content production Critically evaluate and choose suitable AI tools for specific content production tasks Continuously learn and adapt to new AI technologies and techniques in the field of content production Stay informed about current trends, best practice and ethical and legal considerations in AI-driven content production Objectives of the sub-course "Use and evaluation of advanced AI techniques" After completing the course with a passing grade, the student shall be able to: Understand the impact of AI on content production and distribution Design and implement AI-driven workflows for content production Effectively integrate AI-generated content into traditional content production processes Critically evaluate the quality and relevance of AI-generated content Collaborate with AI experts, content creators and other stakeholders in AI-driven content production projects Make the right production and business decisions on how all or parts of the content should be produced