OPEN FOR EXPRESSIONS OF INTEREST!

50 YH credits

Audio Production and AI for Media Creators

Develop professional audio production skills enhanced by AI. Learn how to record, edit, mix and deliver high-quality audio for multiple platforms using industry-standard tools and workflows.

Apply for upcoming course starts

Längd:
2 dagar
Språk:
Engelska
Deltagare:
15
Register your interest

Free course eligible for CSN funding

About the Course

This course provides advanced, industry-relevant skills in professional audio production, with a focus on structured production workflows and AI-supported methods.

You will develop the ability to manage the full production process—from recording and editing to mixing, mastering and final delivery according to industry standards.

The course focuses on Pro Tools and covers:

  • recording techniques and production workflows
  • editing, mixing and mastering
  • sound design and post-production
  • technical delivery and platform adaptation

AI tools are integrated into the workflow to support:

  • audio restoration and enhancement
  • sound generation and voice processing
  • workflow optimization and automation

You will also explore ethical, legal and copyright considerations when using AI in professional audio production.

After completing the course, you will be able to plan, produce, analyze and deliver high-quality audio productions while justifying your technical and creative decisions.

Course Content

The course covers the full audio production pipeline:

  • Digital audio theory and professional workflows
  • Recording techniques for dialogue, voice-over and ADR
  • Editing, mixing, mastering and post-production in Pro Tools
  • Sound design for film, podcast and digital platforms
  • Session organization, versioning and documentation
  • Delivery requirements and technical specifications
  • AI-supported workflows (restoration, generation, optimization)
  • Prompt development for AI audio tools
  • Critical evaluation of AI-assisted production
  • Ethics, copyright, licensing and transparency

The course includes hands-on assignments that reflect real-world audio production workflows.

It concludes with a final project where you plan, produce and deliver a complete audio production adapted to a specific platform and audience.

Learning Outcomes

Knowledge

You will gain knowledge of:

  • Digital audio theory and production workflows
  • Recording techniques for dialogue and voice production
  • Mixing, mastering and post-production methods
  • AI tools for audio production and their limitations
  • Delivery standards and platform requirements
  • Ethical, legal and copyright aspects of AI in audio
  • Trends in AI-driven audio production

Skills

You will learn to:

  • Work efficiently in Pro Tools sessions
  • Record, edit, mix and master audio
  • Use AI tools for restoration, enhancement and generation
  • Create sound environments using recorded and generated audio
  • Structure and organize production workflows
  • Develop and refine prompts for AI audio tools
  • Export and deliver audio according to industry standards

Competencies

You will develop the ability to:

  • Plan and execute complete audio production workflows
  • Integrate AI tools as creative and technical resources
  • Deliver high-quality audio productions
  • Meet technical and aesthetic requirements across platforms
  • Continuously adapt workflows to new technologies and industry practices

Course Structure & Delivery

The course combines theory with hands-on, production-based learning.

It includes:

  • Theoretical lectures
  • Guided practical exercises
  • Project-based assignments
  • Industry-based case work
  • Feedback and reflection
  • Independent final project

Assessment

Assessment is based on multiple project assignments and a final project.

You will be evaluated on your ability to:

  • Apply professional audio production workflows
  • Use and evaluate AI tools in relation to quality and ethics
  • Analyze and justify methodological choices
  • Ensure technical quality and platform adaptation
  • Plan, execute and deliver a complete audio production

Assessment emphasizes independence, structured workflows, critical thinking and professional responsibility.

Course Information

  • Credits:

    50 YH credits
  • Study mode:

    Distance learning
  • Study pace:

    50% (12 weeks part-time)

What You’ll Learn

You will develop practical and professional skills in:

  • Audio production workflows from recording to delivery
  • Recording techniques (dialogue, voice-over, ADR)
  • Editing, mixing and mastering in Pro Tools
  • Sound design for different media formats
  • Workflow organization and collaboration
  • Platform-specific delivery standards
  • AI tools for audio restoration, generation and optimization
  • Prompting techniques for AI audio tools
  • Quality control and evaluation
  • Ethics, copyright and responsible AI use

Optional Certifications

CertNexus AIM-110

Entry Requirements

To be eligible, you must have:

  • At least 6 months of continuous full-time (or equivalent) professional experience in media production or related fields where audio is a central component

Relevant experience may include:

  • Audio engineer or sound designer
  • Podcast producer
  • Video or media producer
  • Content creator working with audio
  • Technical or IT-related roles involving media production

Experience may also come from:

  • streaming, game or interactive platforms
  • public sector roles involving media production, communication or accessibility

Applicants must demonstrate experience with digital workflows and the ability to engage in professional-level education.

Admission Process

Audio Production and AI for Media Creators

Ansök för att få ett urval av datum

Längd:
Språk:
Deltagare:
ANSÖK NU

CSN berättigad kurs!

Summary of the major changes from the original course plan to the submitted MYH application

1. The course plan has been broadened from tool- and craft-focused content to the full production chain

The application places much stronger emphasis on the entire workflow from recording to final delivery, rather than treating the course mainly as a general course in audio production.

2. AI has become more integrated and less standalone

In the application, AI is treated as a natural part of the production workflow, not as a separate add-on. It is embedded across recording, editing, restoration, generation, optimization, workflow efficiency, and quality assessment.

3. Legal, ethical and professional responsibility aspects have been strengthened

The application gives clearer and stronger emphasis to:

  • copyright

  • licensing

  • integrity and privacy-related considerations

  • transparency

  • professional responsibility when using AI-assisted and AI-generated material

4. Delivery requirements and platform adaptation have become more important

The application is more explicit about:

  • delivery standards

  • technical specifications

  • platform-adapted requirements

  • professional delivery according to industry practice

This is much clearer in the application than in the original course plan.

5. The assessment structure has been rewritten to reflect the application

The application is built around several sub-projects and one final project, rather than a detailed internal structure based on an exact number of LMS-based assessments.

This means the revised course plan needs to reflect the application’s broader project-based assessment model instead of the earlier, more fixed internal format.

6. The entry requirements have been broadened and made more professional

The application defines the target group more broadly as professionals working in:

  • media production

  • adjacent fields where audio is a central part of production, communication, or technical workflows

  • public sector contexts where audio or audiovisual content is used professionally

This is broader and more professionally framed than the original course plan.

7. Items that should not be defining course plan content have been removed or toned down

Some elements in the original course plan should not be treated as defining course content because they are not how the MYH application defines the programme. These include:

  • “Teaching language: English”

  • detailed hardware and internet requirements

  • exact software version numbers

  • specific job roles the course leads to

This is important because the application defines the course through learning outcomes, professional workflow, production chain, AI integration, delivery requirements, and professional responsibility — not through operational details of that kind.

Additional important shift

One more important change is that the application strengthens the course’s post-secondary / higher vocational level by placing more emphasis on the student’s ability to:

  • analyse workflows

  • assess quality

  • justify method and tool choices

  • work independently

  • make informed decisions in realistic professional situations.

Optional Certifications

CertNexus AIM-110

Prerequisites

  • Förkunskaper Poäng: 30 YH-poäng
  • Studieform: Distans, virtuell undervisning online
  • Studietakt: 50 % (ca 12 veckor på deltid)

Vad du lär dig

Du utvecklar både tekniska och pedagogiska färdigheter inom:

Behörighet

Register your interest