Business fields · Media & Journalism
AI training for Media and Journalism
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.
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
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.
Possible hands-on projects
Quote database
A small app that stores quotes from interviews with source, date and approval status, makes them searchable and exports them for stories.
Story planning board
An internal tool for editorial meetings that manages story ideas, assignments, channels and publication dates in one clear overview. Status is visible to everyone.
Teaser workshop
A web app that generates headline and teaser variants per channel for a pasted article and automatically checks character limits.
All 16 courses for Media and Journalism
AI for business (13)
- ChatGPT for Media and Journalism
- Claude for Media and Journalism
- Microsoft 365 Copilot for Media and Journalism
- Google Gemini for Media and Journalism
- AI Agents for Media and Journalism
- Prompt Engineering for Media and Journalism
- Generative AI for Media and Journalism
- n8n for Media and Journalism
- Make for Media and Journalism
- Perplexity for Media and Journalism
- Mistral Le Chat for Media and Journalism
- AI Image & Video Generation for Media and Journalism
- EU AI Act & AI Compliance for Media and Journalism
Vibe & agentic coding (3)
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.
Prerequisites
Professional experience in journalism or editorial work; no technical background required.
Frequently asked questions
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.
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