Training course – EU AI Act & AI Compliance – Social Media

EU AI Act & AI Compliance for Social Media Teams

Putting the EU AI Act into practice: risk categories, deployer obligations, AI literacy under Art. 4, AI policy and GDPR interfaces.

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

“EU AI Act & AI Compliance for Social Media Teams” is designed for roles such as Social media managers, Community managers and Content creators and editors and shows step by step how to use EU AI Act & AI Compliance productively, safely and transparently in Social Media – from the fundamentals to advanced workflows.

The EU AI Act is the first comprehensive legal framework for artificial intelligence, and it applies not only to providers but also to organisations that use AI systems in their daily work. In this compact course you will learn how the regulation is structured: prohibited practices, high-risk systems, transparency obligations and general-purpose AI models. You will find out which role your organisation plays as a deployer, which obligations follow and how to record and classify the AI applications you use in a structured way.

The practical part turns the requirements into manageable steps. You clarify what the AI literacy obligation under Article 4 means in concrete terms, how to organise training in a verifiable way and what an internal AI policy should cover. You also examine the interfaces with the GDPR, such as legal bases, data protection impact assessments and automated decision-making. You leave with an AI inventory template, a draft policy and a clear compliance roadmap for your area of work.

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 explain how the EU AI Act is structured and assign your organisation to the correct roles.
  • You can classify the AI applications in use by risk category and maintain an AI inventory.
  • You can name the specific obligations of deployers and derive appropriate measures.
  • You can develop an AI literacy concept under Article 4 and a draft internal AI policy.
  • 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 Structure and logic of the EU AI Act
  • Objectives, scope and phased application of the regulation
  • Roles at a glance: provider, deployer, importer and distributor
  • The risk-based approach: prohibited practices, high risk, limited risk and minimal risk
  • Specific rules for general-purpose AI models
Module 2 Classifying risk in practice
  • Prohibited practices such as social scoring or emotion recognition in the workplace
  • High-risk areas under Annex III, including recruitment, creditworthiness and education
  • Transparency obligations for chatbots, synthetic content and deepfakes
  • Recording and classifying your own AI applications in an AI inventory
Module 3 Obligations for deployers of AI systems
  • Use in line with instructions and human oversight by competent staff
  • Input data quality, monitoring of operation and retention of logs
  • Informing employees and affected persons and reporting serious incidents
  • Fundamental rights impact assessment: when it is required and how it works
Module 4 AI literacy under Art. 4 and internal AI policy
  • What sufficient AI literacy means for different roles
  • Designing training concepts and documenting measures verifiably
  • Components of an AI policy: approved tools, data classes, approvals and labelling
  • Responsibilities, AI officers and involving the works council and IT
Module 5 GDPR interfaces and governance
  • Legal bases, purpose limitation and data minimisation when using AI
  • Data protection impact assessment and its relationship to the fundamental rights assessment
  • Automated individual decisions, data subject rights and data processing agreements
  • Compliance roadmap: priorities, ownership and regular review
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

No legal background is required. A basic knowledge of the GDPR and an overview of the AI applications used or planned in your area are helpful. You manage social media channels professionally and know the main platforms and their formats.

Technical requirements

All you need is a laptop with an up-to-date browser and an office suite for working with templates. No special AI licences are necessary.

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 Thu, 10 December 2026 6 hrs Request
  • Salzburg Mon, 14 December 2026 6 hrs Request
  • Berlin Thu, 10 December 2026 6 hrs Request
  • Augsburg Tue, 15 December 2026 6 hrs Request
  • Hanover Tue, 15 December 2026 6 hrs Request
  • Bremen Wed, 16 December 2026 6 hrs Request
  • Stuttgart Thu, 10 December 2026 6 hrs Request
  • Kaiserslautern Thu, 10 December 2026 6 hrs Request
  • Online Thu, 10 December 2026 6 hrs Request

Frequently asked questions

Does the EU AI Act apply to companies that only use AI tools?

Yes. Anyone using AI systems under their own authority in a professional context is a deployer. All deployers must, in particular, ensure that their staff have sufficient AI literacy. Where high-risk systems are used, for example in recruitment, further obligations apply, such as human oversight, logging and informing the people affected.

Does this course satisfy the training obligation under Article 4?

The course covers core AI literacy content and you receive a certificate of attendance that you can add to your documentation. However, Article 4 requires measures tailored to role, prior knowledge and context of use. That is why you also learn how to set up and maintain your own AI literacy concept for your organisation.

Does the course replace legal advice?

No. The training provides practical knowledge for specialists and managers so they can interpret requirements, ask precise questions and implement first measures. For binding assessments of individual systems, especially in high-risk areas, you should involve your legal department, your data protection officer or external specialist lawyers.

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 “EU AI Act & AI Compliance 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 EU AI Act & AI Compliance courses

All 45 EU AI Act & AI Compliance courses

EU AI Act & AI Compliance – MunichEU AI Act & AI Compliance – SalzburgEU AI Act & AI Compliance – BerlinEU AI Act & AI Compliance – AugsburgEU AI Act & AI Compliance – HanoverEU AI Act & AI Compliance – BremenEU AI Act & AI Compliance – StuttgartEU AI Act & AI Compliance – KaiserslauternEU AI Act & AI Compliance – Online