Training course – ChatGPT – Social Media

ChatGPT for Social Media Teams

Use ChatGPT safely and productively at work: projects, custom GPTs, data analysis, Canvas and privacy settings in team workspaces.

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 ChatGPT with the everyday processes of Social Media. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

For many business teams, ChatGPT is the first AI tool they use every day – yet there is a methodical gap between asking the odd question and achieving real productivity gains. In this hands-on day you learn to apply ChatGPT deliberately to recurring work: drafting and editing text, summarising documents, analysing spreadsheets and structuring decision papers. You work with Projects that keep files and instructions together, with Canvas for reworking longer documents, and with data analysis for Excel and CSV files. Every exercise is based on genuine tasks from your own function.

The second focus is scale and responsibility. You build a custom GPT that knows your templates, tone of voice and review rules, and that colleagues across the workspace can use. We also clarify which data belongs in ChatGPT and which does not, how Team and Enterprise workspaces differ from personal accounts, and which settings matter for model training, memory and sharing. You leave with a personal prompt library, a working GPT and clear ground rules for using ChatGPT responsibly across your organisation.

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 write structured prompts that reliably produce usable results for your day-to-day tasks.
  • You organise your work in Projects and revise longer documents efficiently with Canvas.
  • You analyse spreadsheets and files with data analysis and critically verify the results.
  • You build a custom GPT for a recurring task and share it with your team.
  • 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 Foundations and effective prompting
  • How language models work: strengths, limitations and hallucinations
  • Building effective prompts with role, context, task and output format
  • Refining iteratively instead of starting over: follow-ups and correction loops
  • Choosing models and using web search and deep research appropriately
Module 2 Projects, Canvas and document work
  • Setting up Projects to group files, instructions and chats by topic
  • Summarising, comparing and interrogating long documents
  • Using Canvas to revise text and drafts section by section
  • Templates for emails, reports, minutes and presentation outlines
Module 3 Data analysis with spreadsheets and files
  • Uploading, cleaning and analysing Excel and CSV files
  • Calculating KPIs, replicating pivot logic and explaining variances
  • Generating charts and preparing them for presentations
  • Verifying results: checking calculation steps and sanity checks
Module 4 Custom GPTs for recurring tasks
  • Identifying and scoping good use cases for GPTs
  • Configuring instructions, knowledge files and conversation starters
  • Testing, improving and sharing a GPT within the workspace
  • Maintenance, change tracking for instructions and ownership in the team
Module 5 Privacy, workspaces and governance
  • Personal accounts versus Team and Enterprise workspaces
  • Settings for model training, memory, temporary chats and sharing
  • Handling personal and confidential data in line with GDPR
  • Internal usage policy and quality assurance for AI output
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

Confident use of office applications and a web browser; no prior AI knowledge is required. Feel free to bring your own non-confidential sample tasks from your daily work. You manage social media channels professionally and know the main platforms and their formats.

Technical requirements

A laptop with an up-to-date browser and a ChatGPT account; a paid plan or access to your organisation's Team or Enterprise workspace is recommended for custom GPTs, Projects and data analysis.

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 Mon, 14 December 2026 6 hrs Request
  • Salzburg Thu, 10 December 2026 6 hrs Request
  • Berlin Fri, 11 December 2026 6 hrs Request
  • Augsburg Wed, 16 December 2026 6 hrs Request
  • Hanover Fri, 11 December 2026 6 hrs Request
  • Bremen Thu, 10 December 2026 6 hrs Request
  • Stuttgart Mon, 14 December 2026 6 hrs Request
  • Kaiserslautern Thu, 10 December 2026 6 hrs Request
  • Online Mon, 14 December 2026 6 hrs Request

Frequently asked questions

Do I need a paid ChatGPT licence for the course?

You can follow the fundamentals with a free account. However, features such as custom GPTs, Projects with larger files and advanced data analysis are tied to paid plans or come with far more generous limits there. Ideally you join with access to your organisation's Team or Enterprise workspace, so you practise under real conditions.

May I enter confidential company data into ChatGPT?

That depends on your plan, your contractual terms and your internal policy. In Team and Enterprise workspaces, content is not used for training by default, but GDPR and confidentiality obligations still apply. In the course you learn how to classify and anonymise data and how to choose the right settings.

How is a custom GPT different from a saved prompt?

A GPT bundles persistent instructions, knowledge files and optional tools such as web search or data analysis into a dedicated assistant. Colleagues can use it without any prompting skills and get consistent results. A saved prompt, by contrast, has to be copied and supplemented with context every time, which is far more error-prone.

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 “ChatGPT 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.

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