The illustrations were created in cooperation between humans and artificial intelligence. They show a future in which technology is omnipresent, but people remain at the center.
AI-generated illustration
ChatGPT & OpenAI – The Comprehensive Training Course
All OpenAI tools, functions and models explained in practical use
Online
2 days
German
€ 1.290,-
plus VAT.
€ 1.535,10
incl. VAT.
Booking number
42309
Venue
Online
.svg)
4 dates
€ 1.290,-
plus VAT.
€ 1.535,10
incl. VAT.
Booking number
42309
Venue
Online
4 dates
plus VAT.
incl. VAT.
Booking number
Venue
0 Dates
Become a certified
Machine Learning Engineer
Machine Learning Engineer
This course is part of the certified Master Class "Machine Learning Engineer". If you book the entire Master Class, you save over 15 percent compared to booking this individual module.
To the Master Class
In-house training
In-house training just for your employees - exclusive and effective.
Inquiries
In cooperation with
In cooperation with
Whether it's idea generation, content creation, data analysis or project management - OpenAI tools open up completely new possibilities for more speed, quality and creativity. In this two-day training training course, you will learn how to use the entire OpenAI ecosystem with confidence: from the core models (GPT-5, GPT-4o) and tools such as Deep Research, Canvas and Playground to custom GPTs, projects and agents. You will learn how to select the right models and functions, develop workflows and set up your own virtual assistant environment. Many live demos, practical exercises and checklists will help you to use the tools productively in your day-to-day work.
Contents
1. The OpenAI Ecosystem and Access Options
- Chat, ChatGPT Work, and Codex: Differences and Use Cases.
- Web, desktop, and mobile apps.
- Subscriptions, credits, API billing, and corporate accounts.
- Data Protection, Permissions, and the Secure Use of Corporate Data.
2. Prompt and Context Engineering
- All Models Explained (including the GPT-6 Astra).
- Define objectives, roles, sources, limitations, and quality criteria.
- Documents, images, tables, URLs, and project data as context.
- Custom Instructions, Personality, Memories, and Writing Style.
- Reasoning levels ranging from Light to Ultra, including subagents.
3. Research and Multimodal Tools
- Web Search, Browsers, and In-Depth Research.
- Source verification, citations, and hallucination checks.
- File and image analysis.
- GPT Image: Generate, edit, and create variations of images.
- Voice, transcription, translation, and text-to-speech.
4. Results and Final Artifacts
- Word documents, presentations, Excel files, PDFs, Markdown, and HTML.
- Data import, cleaning, statistics, and visualization.
- Interactive visualizations, dashboards, and websites with Sites.
- Templates, the ChatGPT Library, and reusable results.
- Overview of the current ChatGPT Work features.
5. Automation, Workflows, and Agents
- Scheduled, recurring tasks.
- Distinguish between custom GPTs, skills, and plugins.
- Create reusable workflows as a skill.
- Connect apps and data sources via plugins and MCP.
- Permissions, sharing, and secure actions.
- Codex as a catalyst for work and development.
- Playground and the OpenAI API.
6. Practical Project
- Define the goal → Select a model → Connect tools → Build a workflow.
- Validation Using Sources and Test Scenarios
- Examples of final projects: market analysis, marketing campaign, training materials, management report, website, or automated business process.
Your benefit
- You will get to know all the important tools and functions of OpenAI - in a practical way and using real examples.
- You can select suitable models and tools for different scenarios.
- You develop your own workflows, long formats and build up a team of virtual assistants.
- You will be able to use OpenAI tools strategically and productively in your work environment.
trainer
Hubertus Andreas Munz
Methods
- Theory impulses, live demos and interactive practical exercises
- Work on real use cases of the participants
- Group work and peer learning
- Step-by-step checklists for direct application
The training is conducted online with a maximum of 12 participants via Zoom. In your learning environment, you will find additional materials, downloads and services to deepen your knowledge.
Miro is used for collaboration and visualization. Miro is a digital whiteboard on which attendees can collaborate in real time. Ideas, concepts and processes can be visualized and organized. Miro is easy to use and requires no additional software as it can be accessed via the browser.
Final examination
Recommended for
The training is aimed at specialists and managers, innovation managers, consultants, content creators and IT-savvy users who want to understand OpenAI tools comprehensively and use them in a targeted manner.
.svg)