Training course – AI Image & Video Generation – Social Media

AI Image & Video Generation for Social Media Teams

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

This course connects AI Image & Video Generation with the everyday processes of Social Media. 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.

Social media teams work at the pace of the platforms: constantly changing formats, trends and algorithms, and a community that expects quick responses. Generative AI becomes a daily sparring partner. AI assistants build content calendars, draft posts, captions, hooks and short-form video scripts, adapt content for LinkedIn, Instagram, TikTok or YouTube and suggest replies for community management. Automation gathers comments and mentions, summarises sentiment and creates reports. Image and video tools help with visuals and subtitles. The human touch remains decisive: authenticity, a feel for timing and crisis sensitivity cannot be automated. Used wisely, AI frees time for interaction, creative formats and a strategy based on real data rather than gut feeling.

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?

  • Social media managers
  • Community managers
  • Content creators and editors
  • Corporate influencers and employer branding teams
  • Social media agency staff

Typical challenges we address

  • Producing high-quality content regularly for several platforms
  • Responding to comments and messages quickly and in the right tone
  • Spotting trends and reacting in time with suitable formats
  • Measuring success and preparing reports for management and clients

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.
  • Plan and produce platform-specific content efficiently and on brand with AI.
  • Use AI for community management and social listening with clear escalation rules.
  • Observe labelling duties, copyright and data protection for AI-generated content.

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: Social Media
  • Content calendar
  • Platform-specific posts
  • Short-form video scripts
  • Community management
  • Social listening insights
  • Automated reporting
Module 7 Data protection, quality & transfer to daily work
  • Social media activity is subject to advertising disclosure and imprint rules, copyright and personality rights for images and music, and the EU AI Act's transparency duties for deepfakes and AI-generated content. Personal data from comments and messages must be processed in line with the GDPR.
  • 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

Content calendar

An AI assistant turns communication goals, topic clusters and seasonal moments into a content calendar with format ideas, platform allocation and posting frequency for the team to adjust and approve.

Platform-specific posts

One core message becomes several variants: an expert LinkedIn post, an Instagram caption with hashtags and a hook for short-form video, each in the appropriate tone.

Short-form video scripts

AI drafts scripts and storyboards for Reels, Shorts or TikToks with a strong opening, clear structure and call to action, and creates subtitles and descriptions.

Community management

Comments and direct messages are sorted by request and sentiment, reply suggestions prepared in the brand voice and critical posts highlighted for personal handling.

Social listening insights

Automations collect mentions and comments; AI summarises recurring topics, questions and sentiment trends and provides ideas for new content and product feedback.

Automated reporting

Metrics from platform exports are combined, top and bottom performing posts analysed and a monthly report with insights and recommendations drafted.

Prerequisites

Design experience is helpful but not required. You should have a basic familiarity with digital image formats and your organisation’s corporate design. You manage social media channels professionally and know the main platforms and their formats.

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

Social media activity is subject to advertising disclosure and imprint rules, copyright and personality rights for images and music, and the EU AI Act's transparency duties for deepfakes and AI-generated content. Personal data from comments and messages must be processed in line with the GDPR.

Dates & locations

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

  • Munich Tue, 15 December 2026 6 hrs Request
  • Salzburg Fri, 11 December 2026 6 hrs Request
  • Berlin Mon, 14 December 2026 6 hrs Request
  • Augsburg Thu, 10 December 2026 6 hrs Request
  • Hanover Fri, 11 December 2026 6 hrs Request
  • Bremen Mon, 14 December 2026 6 hrs Request
  • Stuttgart Fri, 11 December 2026 6 hrs Request
  • Kaiserslautern Fri, 11 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.

Do AI-generated posts need to be labelled?

Under the EU AI Act, deepfakes in particular, as well as AI-generated text on matters of public interest that has not been editorially reviewed, must be disclosed. Platforms also have their own rules for labelling realistic synthetic content. In the course we draw up a clear labelling policy for your team.

Doesn't AI content feel generic?

It does when AI is used without context. With your own experiences, customer voices, data and a clearly defined brand voice as input, drafts become far more distinctive. AI provides structure and variants; you contribute the personal perspective and a feel for your community.

How much does “AI Image & Video Generation for Social Media Teams” 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.

More courses for Social Media Teams

More AI Image & Video Generation courses

All 15 AI Image & Video Generation courses

AI Image & Video Generation – MunichAI Image & Video Generation – SalzburgAI Image & Video Generation – BerlinAI Image & Video Generation – AugsburgAI Image & Video Generation – HanoverAI Image & Video Generation – BremenAI Image & Video Generation – StuttgartAI Image & Video Generation – KaiserslauternAI Image & Video Generation – Online