Prompt Engineering for ChatGPT, Microsoft Copilot and Co.
Effective prompts for reliable and consistent results
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Machine Learning Engineer
Generative AI: functions, limitations and trends
- Insight into the latest developments and growing possibilities of Large Language Models (LLMs).
- The best GenAI tools and how they can be used effectively in different business functions.
Prompt engineering: basics, application and professionalization
- Theoretical basics of setting up and structuring prompts for optimal results.
- Prompting toolkit: The six key components for building effective prompts from context to role assignment.
- Prompting strategies: "Zero-Shot, Chain-of-Thought and Prompt Chaining" - What do these terms mean, what do I need from them in my day-to-day work and how do I apply the strategies correctly?
- Prompting Excellence: Improved AI outputs through scientifically researched methods.
- Prompt Contest: Various user exercises and playful competition to develop the best prompts.
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
- Acquire a deep understanding of the functionality, limitations and application areas of large language models such as ChatGPT and others
- The ability to use GenAI tools effectively for professional purposes
- Competence in using prompt engineering to achieve reliable, precise and consistent results with the help of use cases from everyday working life
- Obtaining a prompt engineering cheat sheet
- Template for setting up a prompt database
- trainers for in-depth knowledge about generative AI
- Group exercises that promote collaborative learning
- Mini quizzes to consolidate what you have learned
- Individual tasks for practical experience
- Best-practice examples and tool demonstrations for direct insights
- You will get to know the following tools: Microsoft Copilot, ChatGPT, Perplexity.ai, as well as other current tools as required
Please note the general information on data protection:
For an optimal learning experience, registration is required for these tools. Registration is voluntary. You can also take part in training without registering. The providers of the services generally process the data under their own responsibility. This means that they are responsible for complying with applicable data protection regulations and ensuring the security of the processing.
The Haufe Akademie has no contractual relationship with the provider, so you must agree to the terms of use, for example. It is recommended that you use an e-mail that does not allow any conclusions to be drawn about your person.
Have you already had contact with generative AI and would like to improve your skills in prompt engineering? Do you want to automate repetitive tasks, generate content and simplify problem solving? Then this training course is just right for you.
Whether you are a clerk or a project manager - anyone who is open to technological innovations can benefit from this course in order to use digital tools more effectively in the future.
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