ChatGPT - The comprehensive training
All OpenAI tools, functions and models explained in practical use
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Machine Learning Engineer
1. basics of OpenAI & models
- Overview of the OpenAI ecosystem.
- Licenses and billing modalities (also explain API).
- Concepts and functionality of the models (GPT-5, GPT-5 Thinking, GPT-4o, alternatives).
- Select models for different purposes.
2. tools & application scenarios
- Chat, Deep Research, Internet Search, Canvas, Study & Learn.
- Prompt and context engineering.
- Decision support: which tool to use when?
3. output formats & automation
- PowerPoint, Excel, PDF, Markdown, HTML, roadmaps, tables.
- Data analysis: import, cleansing, statistics, visualization.
4. advanced functions & strategies
- Custom GPTs: creation & customization, areas of application.
- Projects: structured work, knowledge building, content productions.
- Agent mode: autonomous work on complex tasks.
- Voice Assistant: voice-based interaction, own use cases.
- Assistant teams: define roles, combine results, iteration.
5. optimal use & strategies
- Settings: Profiles, memory, data protection, output formats.
- Context provision: upload documents, define roles & goals.
- Create long formats (e.g. books, reports, training material).
- Combine queries, link tools (Deep Research + Canvas + DALL-E).
6 OpenAI Playground
- Overview and possible applications.
- Compare models, set parameters.
- Prompt optimization, testing of ideas, simulation of custom GPTs.
- Best practices: when Playground instead of ChatGPT-UI?
7. strategies & examples from practice
- Step-by-step procedure: Define target → Select tool → Prompt strategy → Validation.
- User stories: marketing campaign, market analysis, training material, book project.
8. best practices & future
- Success factors (prompts, tool selection, working methods).
- AI Governance & Ethics.
- Outlook for future developments.
- 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.
- 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.
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.
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