Training course – AI Image & Video Generation – Education & Teaching

AI Image & Video Generation for Educators

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 Educators” is a hands-on course for roles such as Teachers in general and vocational schools, University lecturers and Trainers in adult and continuing education. Rather than learning AI Image & Video Generation in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Education & Teaching.

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.

Schools, universities, adult education providers and corporate academies are undergoing a fundamental shift with generative AI. Educators use AI assistants to differentiate teaching materials, create tasks at different levels, prepare feedback and write course descriptions. At the same time, AI challenges established assessment formats, coursework and the very notion of independent work. Educational institutions therefore have two jobs: to make their own work lighter in sensible ways and to equip learners to use AI competently and critically. A pedagogically sound approach frees up time for individual support, while careless use risks lower quality, data protection issues and unclear grading criteria.

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?

  • Teachers in general and vocational schools
  • University lecturers
  • Trainers in adult and continuing education
  • L&D and corporate academy managers
  • Heads of school and programme directors

Typical challenges we address

  • Mixed-ability groups that need differentiated materials
  • Heavy workload for marking, feedback and documentation
  • Uncertainty about assessment and independent work in the age of AI
  • Unclear rules on which tools may be used with which data

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.
  • Create differentiated teaching and learning materials with AI while safeguarding subject accuracy.
  • Develop assessment and task formats that deal sensibly with AI use.
  • Draft practical rules for privacy-compliant AI use in your institution.

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: Education & Teaching
  • Differentiating materials
  • Generating tasks and exercises
  • Preparing feedback
  • Course and module planning
  • Building learners' AI literacy
  • Communication and administration
Module 7 Data protection, quality & transfer to daily work
  • Pupil and learner data, grades and special needs information are highly sensitive and may only be processed in approved systems, ideally anonymised; national and regional education and data protection rules apply. Grading and examination decisions remain with educators, and AI use in assessed work must be governed by transparent rules.
  • 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

Differentiating materials

From a source text, AI creates versions for different ability levels, language proficiency or support needs – with glossaries, guiding questions and extension tasks that the teacher checks and adapts.

Generating tasks and exercises

Practice questions, case studies, quizzes and model answers are created to match learning objectives and competence levels and can be imported into learning platforms. Variants for resits are easy to produce too.

Preparing feedback

Based on a marking rubric, AI drafts constructive, criteria-based feedback on anonymised work, which the educator adds to, weighs and takes responsibility for. Learners receive detailed feedback sooner.

Course and module planning

AI supports outline and lesson planning for teaching units, seminars or trainings, suggests changes of method and drafts module descriptions with clear learning outcomes. Timings and material lists are included.

Building learners' AI literacy

Educators design tasks in which learners use AI deliberately, verify its output and reflect on their process, rather than simply banning or ignoring AI use.

Communication and administration

Letters to parents, participant information, meeting minutes and FAQ answers are drafted faster, prepared in several languages and brought into a consistent tone. Key dates and deadlines are highlighted.

Prerequisites

Design experience is helpful but not required. You should have a basic familiarity with digital image formats and your organisation’s corporate design. Experience in teaching, training or education management; 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

Pupil and learner data, grades and special needs information are highly sensitive and may only be processed in approved systems, ideally anonymised; national and regional education and data protection rules apply. Grading and examination decisions remain with educators, and AI use in assessed work must be governed by transparent rules.

Dates & locations

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

  • Munich Wed, 16 December 2026 6 hrs Request
  • Salzburg Thu, 10 December 2026 6 hrs Request
  • Berlin Wed, 16 December 2026 6 hrs Request
  • Augsburg Fri, 11 December 2026 6 hrs Request
  • Hanover Tue, 15 December 2026 6 hrs Request
  • Bremen Thu, 10 December 2026 6 hrs Request
  • Stuttgart Thu, 10 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.

Can I let AI mark my students' work?

AI can prepare feedback drafts on anonymised texts, but grading remains your responsibility. Names, marks and support information do not belong in unapproved tools. In the course we practise anonymising work, applying rubrics and critically weighing AI suggestions. Responsibility stays clearly with you.

How should I deal with AI-written coursework?

Bans alone fall short, and AI detectors are unreliable. More effective are formats that make process and reflection visible, such as oral components, learning journals or disclosed AI use. The course presents concrete task formats and policies that allow independent work to be assessed fairly.

How much does “AI Image & Video Generation for Educators” 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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