Business fields · Marketing
AI training for Marketing Teams
Marketing teams now cover more channels, audiences and formats than ever, often on the same budget. Generative AI is fundamentally changing the work: AI assistants support market research, persona development and positioning, draft campaign concepts, landing page copy and ad variants and analyse campaign data. AI agents and automation take over routines such as adapting content for different channels, reporting or enriching leads. The value does not come from mass production but from faster testing, better personalisation and more time for strategy and creativity. Clear brand guidelines as the foundation for prompts, careful handling of customer data and editorial review keep content accurate, legally sound and on brand.
Who is this course for?
- Marketing managers and heads of marketing
- Performance and digital marketing specialists
- Product and brand managers
- Marketing operations and CRM owners
- Agency staff
Typical challenges we address
- Delivering a consistent brand message across many channels and formats
- Testing campaigns quickly and drawing meaningful conclusions
- Sharpening target groups and personas with data
- Organising content production and approvals with limited resources
Practical scenarios from your field
Audiences and personas
An AI assistant condenses market studies, customer feedback and sales notes into personas with needs, objections and buying criteria, then derives key messages and value propositions for campaigns.
Campaign concepts
From the brief, goals and budget, AI develops several campaign ideas with a central idea, channel mix, messages and KPIs, which the team evaluates, combines and refines.
Ad and copy variants
AI creates variants of headlines, ad copy, subject lines and calls to action within brand guidelines and prepares A/B tests whose results are then analysed.
Campaign reporting analysis
Exports from ad platforms, web analytics and CRM are combined, anomalies explained and recommendations drafted, so reporting meetings can focus on decisions rather than data gathering.
Competitor monitoring
AI summarises publicly available information on competitors, such as website messaging, product launches and pricing communication, and highlights differences from your own positioning.
Marketing automation
Workflows enrich new leads, segment contacts, draft personalised nurture emails and notify sales as soon as a lead meets defined qualification criteria.
Possible hands-on projects
Briefing generator
A web app that collects goals, audience and budget via a form and produces a structured campaign brief for agencies or internal teams.
UTM and campaign manager
An internal tool that generates UTM parameters according to fixed naming conventions, documents campaigns and provides consistent links for every channel.
Brand voice checker
A small app that checks copy against brand guidelines, flags banned terms and suggests rewording in the desired tone of voice.
All 16 courses for Marketing Teams
AI for business (13)
- ChatGPT for Marketing Teams
- Claude for Marketing Teams
- Microsoft 365 Copilot for Marketing Teams
- Google Gemini for Marketing Teams
- AI Agents for Marketing Teams
- Prompt Engineering for Marketing Teams
- Generative AI for Marketing Teams
- n8n for Marketing Teams
- Make for Marketing Teams
- Perplexity for Marketing Teams
- Mistral Le Chat for Marketing Teams
- AI Image & Video Generation for Marketing Teams
- EU AI Act & AI Compliance for Marketing Teams
Vibe & agentic coding (3)
Data protection & compliance
Marketing use of AI must comply with the GDPR and ePrivacy rules on tracking, consent and personalisation; customer data belongs only in approved tools. Unfair competition law applies to advertising claims, copyright and trademark law to generated content, and the EU AI Act's transparency duties to AI-generated media.
Prerequisites
You work in marketing or at an agency and understand the basics of campaign planning and digital channels.
Frequently asked questions
How do we keep AI-generated content on brand?
Start with well-documented brand guidelines covering tone of voice, sample copy and banned terms, and provide them as context to AI assistants. Combined with reusable prompt templates and editorial approval, this produces consistent copy. In the course we build such templates together for your channels.
Who owns the rights to AI-generated content?
Purely machine-generated content is generally not protected by copyright in many jurisdictions, including Germany, whereas works substantially shaped by people can be. You also need to check that outputs do not infringe third-party rights such as trademarks or well-known imagery. We discuss practical rules for approval and labelling.
Request without obligation
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