After completing the course with a passing result, the student shall be able to:

Knowledge

• account for the full workflow of professional audio production in Pro Tools according to industry standards
  
  
• explain sound design methods for audio creation, processing, mixing and enhancement in professional production environments
  
  
• account for the role and function of AI tools in modern professional audio production
  
  
• describe differences between traditional and AI-assisted workflows in audio production and how these affect production processes in podcasting, digital media and film
  
  
• explain key principles of machine learning applied to audio production, such as analysis, generation and automation
  
  
• analyze ethical, legal and copyright-related issues connected to generative and AI-assisted audio, including responsibility, transparency and creative limitations
  
  
• identify and interpret current applications of AI-based technologies in professional audio production and their impact on professional roles
  
  

Skills

• use AI-based tools and plug-ins in Pro Tools for audio analysis, mixing and mastering in professional production contexts
  
  
• create, improve and streamline audio productions using AI-assisted workflows for podcasting, digital content and film when appropriate
  
  
• apply generative techniques in sound design, including creation and processing of music, voice and sound effects
  
  
• work with stem separation and audio restoration as part of AI-supported production workflows
  
  
• integrate AI-based methods with established and traditional audio production processes
  
  
• optimize and adapt audio productions for digital and social platforms based on technical requirements, quality standards and ethical considerations
  
  

Competence

• independently produce AI-assisted audio productions at a professional level with responsibility for quality, workflow and final delivery
  
  
• critically evaluate technical and creative quality in AI-based audio productions and propose improvements to workflows and results
  
  
• combine artistic judgment with technical understanding when using AI-based audio tools in professional contexts
  
  
• work responsibly and ethically with AI-supported production methods in accordance with legal and copyright frameworks
  
  

contribute to the development and optimization of professional audio workflows where AI is used as a supporting technology

The teaching is conducted through labs, guided workshops, practical exercises and project work, with a focus on application in professional workflows.

The course includes, among other things:

• labs
  
  
• guided workshops
  
  
• practical production exercises
  
  
• case-based assignments
  
  
• project work
  
  
• feedback and reflection on method choices, quality and consequences of AI usage

Assessment is conducted through labs, project-based work, sub-projects and a final project.

The assessment evaluates the student’s ability to:

• analyze and justify chosen AI-based workflows
  
  
• use AI-based tools and plug-ins in professional audio production
  
  
• quality assure technical and creative output in AI-assisted productions
  
  
• integrate AI-supported methods with established professional workflows
  
  
• assess when AI should be used in a workflow and when it is not appropriate
  
  
• reflect on ethical, legal and copyright-related implications of AI-assisted and generative audio production
  
  
• execute and evaluate a complete production workflow with clear requirements for technical precision, efficiency and professional relevance
  
  

The examination requires independence, analytical ability, quality assurance, justification of methodological choices and professional responsibility.