Training course · AI Image & Video Generation · Founders & Startups

AI Image & Video Generation for Founders and Startups

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

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

This course connects AI Image & Video Generation with the everyday processes of Founders & Startups. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

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.

Founders have to juggle many roles with a small team and limited budget: product, sales, marketing, finance, hiring and investor relations. Generative AI acts like an extra team member. It helps with market research and competitor analysis, drafts pitch decks and investor updates, writes landing pages and sales emails, structures customer interviews and supports the financial model. With vibe coding, prototypes, clickable mock-ups and internal tools come together in hours rather than weeks, so hypotheses can be tested in the market much sooner. AI agents automate lead research, onboarding emails or support replies. The key is to combine speed with critical review and to get the legal basics right from day one.

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?

  • Early-stage founders
  • Founding teams in incubators and accelerators
  • Early employees at startups
  • Corporate venturing and intrapreneurship teams
  • Solo entrepreneurs with product ideas

Typical challenges we address

  • Little time and few resources for many parallel tasks
  • Hypotheses need to be validated quickly and cheaply
  • Heavy effort for pitching, investor relations and grant applications
  • No in-house experts for legal, finance and development in the early stage

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.
  • Validate business ideas faster with AI through research, interviews and prototypes.
  • Produce pitch decks, investor updates and sales materials efficiently with AI.
  • Build simple prototypes and internal tools through vibe coding and understand their limits.

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: Founders & Startups
  • Market and competitor analysis
  • Analysing customer interviews
  • Pitch decks and investor updates
  • Prototypes via vibe coding
  • Sales and marketing
  • Grants and business plans
Module 7 Data protection, quality & transfer to daily work
  • Startups must comply with the GDPR, imprint requirements and unfair competition law from the outset, for example for waitlists, newsletters and outreach. For AI-based products, the EU AI Act, copyright in generated content, code licences and the confidentiality of investor and customer data must be considered.
  • 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

Market and competitor analysis

AI structures market segments, target groups and competitors, derives positioning options and helps identify research sources – figures and facts are then backed up with reliable references.

Analysing customer interviews

Guides for problem interviews are created, notes are analysed for pain points, willingness to pay and quotes, and insights are condensed for the next iteration.

Pitch decks and investor updates

Storyline, slide copy and answers to typical investor questions are developed; regular updates for investors and advisers are generated from KPIs and milestones. Investors stay informed with little effort.

Prototypes via vibe coding

Landing pages, clickable prototypes and simple MVPs are built with AI coding tools to test demand and user behaviour before investing in professional development. Scaling up follows once demand is confirmed.

Sales and marketing

Ideal customer profiles, outreach sequences, website copy and social posts are written for the target audience and prepared in variants for A/B testing. Test results feed straight into the next iteration.

Grants and business plans

AI helps make sense of funding programmes, structure applications and business plans and explain financial assumptions clearly; the figures themselves are checked by an expert.

Prerequisites

Design experience is helpful but not required. You should have a basic familiarity with digital image formats and your organisation’s corporate design. A startup idea or a role in a young company; no programming skills 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

Startups must comply with the GDPR, imprint requirements and unfair competition law from the outset, for example for waitlists, newsletters and outreach. For AI-based products, the EU AI Act, copyright in generated content, code licences and the confidentiality of investor and customer data must be considered.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Mon, 23 November 2026 Online Request
  • Fri, 4 December 2026 Munich Request
  • Fri, 11 December 2026 Online Request
  • Thu, 17 December 2026 Stuttgart Request
  • Fri, 15 January 2027 Online Request
  • Tue, 26 January 2027 Berlin 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.

Can I build an MVP with AI without knowing how to code?

For landing pages, clickable prototypes and simple web apps, yes – often enough to test demand. For a scalable, secure product handling user data and payments, however, you need development expertise. The course shows where that line lies and how to hand prototypes over cleanly to developers.

Can investors tell a pitch deck was written by AI?

Generic copy stands out. What matters is that the storyline, numbers and insights come from your own work. AI helps you structure, sharpen and prepare for tough questions. In the course we practise making your story more compelling with AI without sounding interchangeable.

How much does “AI Image & Video Generation for Founders and Startups” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm 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 or Kaiserslautern. We can also run the course exclusively for your team.

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