Training course – AI Image & Video Generation – Media & Journalism

AI Image & Video Generation for Media and Journalism

Create images and video with Midjourney, GPT-Image, Adobe Firefly and Runway: prompting, image rights, brand consistency and workflows.

Duration
6 hours, one session
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“AI Image & Video Generation for Media and Journalism” is designed for roles such as Reporters and editors in print, online and broadcast, News desk chiefs and section editors and Social media and audience teams and shows step by step how to use AI Image & Video Generation productively, safely and transparently in Media & Journalism – from the fundamentals to advanced workflows.

AI image and video generators are changing how visuals are produced for campaigns, presentations, product pages and training materials. In this hands-on day you will get to know the key tools, including Midjourney, image generation in ChatGPT, Adobe Firefly and Runway, and understand how they differ in style, handling, licensing terms and purpose. You will practise structured prompting for subject, composition, lighting and style, and learn to vary, edit and adapt results for different formats.

Using these images responsibly matters just as much as creating them. You will clarify which usage rights apply to AI-generated content, where the risks lie regarding personality rights, trade marks and copyright, and when labelling is advisable or required. You will also develop methods to keep visual language and corporate design consistent across many assets, for example with style references and prompt templates. Finally, you will set up a repeatable workflow from idea through approval to publication.

Newsrooms, publishers, broadcasters and content teams are caught between economic pressure and the demands of quality journalism. Generative AI is fundamentally changing research, production and distribution. It helps reporters work through documents and datasets faster, transcribe and summarise interviews, develop headline and teaser variants, adapt stories for different channels and make archives searchable. AI agents can sort wire copy or handle monitoring tasks. At the same time, AI raises core questions: how do you safeguard accuracy, how do you make AI use transparent to your audience and how do you respect copyright? Media professionals therefore need competence in both productive use and critical verification.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Reporters and editors in print, online and broadcast
  • News desk chiefs and section editors
  • Social media and audience teams
  • Freelance journalists
  • Content and corporate publishing teams

Typical challenges we address

  • Intense time pressure alongside a growing number of channels and formats
  • Large volumes of documents, data and wire material
  • Safeguarding accuracy and credibility
  • Unresolved questions about copyright and labelling of AI content

What you will be able to do

  • You can choose the right image or video tool for a task based on clear criteria.
  • You can write structured prompts that deliberately control subject, composition, lighting and style.
  • You can edit and adapt AI images and short clips for different channels and formats.
  • You can assess legal risks around copyright, trade marks, personality rights and labelling duties.
  • Use AI for research, transcription and production efficiently and faithfully to sources.
  • Check AI output systematically for accuracy and avoid typical pitfalls.
  • Apply rules on copyright, labelling and press ethics confidently when using AI.

Course outline

Module 1 Tool overview
  • Midjourney, GPT-Image, Adobe Firefly and other image generators compared
  • Video generation with Runway and similar tools: text-to-video and image-to-video
  • Strengths, limitations and typical use cases for each tool
  • Selection criteria: image quality, usability, licensing terms and enterprise features
Module 2 Prompting for images and video
  • Anatomy of an image prompt: subject, setting, composition, lighting, perspective and style
  • Using aspect ratios, variations, negative instructions and style references
  • Describing camera movement, scene progression and duration in video prompts
  • Working iteratively: assessing, refining and documenting results
Module 3 Editing, extending and refining
  • Generative fill, expanding canvases and removing unwanted elements
  • Swapping backgrounds, staging product shots and adapting formats
  • Upscaling and post-production in common graphics software
  • Preparing short clips for social media, presentations and websites
Module 4 Image rights, labelling and risk
  • Copyright status of AI-generated content and providers’ terms of use
  • Risks involving real people, trade marks, protected works and style imitation
  • Transparency and labelling duties under the EU AI Act, particularly for deepfakes
  • Content credentials and internal documentation of how images were created
Module 5 Brand consistency and production workflow
  • Translating visual identity and corporate design into prompt templates and style guides
  • Using style references and consistent characters or products across series
  • Defining a workflow from briefing through generation and review to approval
  • Organising asset management, versioning and team collaboration
Module 6 Practice lab: Media & Journalism
  • Document research
  • Transcribing and analysing interviews
  • Headlines and teasers
  • Adapting formats
  • Unlocking the archive
  • Supporting fact-checking
Module 7 Data protection, quality & transfer to daily work
  • Press codes and journalistic due diligence apply unchanged: AI output must be verified and AI use made transparent to the audience in line with in-house guidelines. Copyright and related rights in source material and generated content must be respected, and source protection rules out entering confidential source information into unapproved tools.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Document research

Lengthy reports, court rulings, budgets or leaked datasets are searched and summarised with AI and checked for relevant passages – every statement is then verified against the source.

Transcribing and analysing interviews

Audio and video interviews are transcribed, key statements and quotes are highlighted and sorted by topic, so stories can be written faster and quotes attributed precisely.

Headlines and teasers

For a finished story, AI generates variants for headlines, standfirsts, social posts and push alerts that match the brand's tone and from which the editors choose.

Adapting formats

An article is turned into newsletter summaries, explainers, podcast scripts or easy-read versions without changing what it says. Editors check every version for accuracy and house style before publication.

Unlocking the archive

Archive material is tagged, summarised and made searchable so that background, timelines and earlier coverage can be retrieved quickly. Dossiers on people, places and topics stay up to date with little effort.

Supporting fact-checking

AI helps identify checkable claims in texts, formulate verification questions and point out contradictions; the verification itself is done with primary sources. Due diligence becomes more systematic.

Prerequisites

Design experience is helpful but not required. You should have a basic familiarity with digital image formats and your organisation’s corporate design. Professional experience in journalism or editorial work; no technical background required.

Technical requirements

You will need a laptop with an up-to-date browser. Access to at least one image generator such as ChatGPT, Midjourney or Adobe Firefly is ideal; trial access is provided for selected exercises.

Data protection & compliance

Press codes and journalistic due diligence apply unchanged: AI output must be verified and AI use made transparent to the audience in line with in-house guidelines. Copyright and related rights in source material and generated content must be respected, and source protection rules out entering confidential source information into unapproved tools.

Dates & locations

For every location we suggest a date roughly four weeks ahead. Your preferred date is always possible.

  • Munich Thu, 10 December 2026 6 hrs Request
  • Salzburg Wed, 16 December 2026 6 hrs Request
  • Berlin Wed, 16 December 2026 6 hrs Request
  • Augsburg Thu, 10 December 2026 6 hrs Request
  • Hanover Mon, 14 December 2026 6 hrs Request
  • Bremen Thu, 10 December 2026 6 hrs Request
  • Stuttgart Tue, 15 December 2026 6 hrs Request
  • Kaiserslautern Mon, 14 December 2026 6 hrs Request
  • Online Mon, 14 December 2026 6 hrs Request

Frequently asked questions

Can I use AI-generated images commercially?

That depends mainly on the provider’s terms of use and your subscription plan. In addition, purely AI-generated content generally does not enjoy copyright protection under German and most European law, which limits exclusivity. On the course you learn to check licensing terms, recognise risks around trade marks and real people, and document how assets were created.

How do I achieve a consistent look for my brand?

Consistency comes from a system: you translate your corporate design into fixed prompt components, use style and subject references, and define colours, framing and lighting moods as binding rules. A review step and a library of approved reference images then ensure that several people in the team can produce coherent results.

Do I have to label AI-generated images and videos?

The EU AI Act sets out transparency obligations, particularly for deepfakes, meaning realistic depictions of people, places or events. Platform rules and advertising standards also apply. On the course you clarify when labelling is mandatory, when it is sensible on a voluntary basis and how to establish a consistent practice across your organisation.

Does AI-generated content need to be labelled?

That is determined by legislation, voluntary commitments and your organisation's guidelines. The EU AI Act sets transparency obligations for certain AI-generated content, and many newsrooms go further with their own policies. In the course we discuss when labelling is required and how to document editorial responsibility.

Can I use AI for fact-checking?

AI helps identify checkable claims and plan verification steps, but it is not a reliable source in itself. Language models can state false facts plausibly. Verification always relies on primary sources, documents and conversations. The course demonstrates a workflow that uses AI as an assistant without compromising rigour.

How much does “AI Image & Video Generation for Media and Journalism” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 6 hours of live training with a trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. For every location we suggest a date roughly four weeks ahead. In the request form you can always describe your preferred date or period in free text – we check availability and get back to you within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run the course exclusively for your team.

Can the course be tailored to our team?

Yes. Tailor-made courses cost approx. €4,500 more, depending on the topic and by arrangement. We agree content, examples and exercises with you in advance.

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