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Foundations of Prompt Engineering
Objectives
- Define prompt engineering and apply general best practices when interacting with FMs
- Identify the basic types of prompt techniques, including zero-shot and few-shot learning
- Apply advanced prompt techniques when necessary for your use case
- Identify which prompt-techniques are best-suited for specific models
- Identify potential prompt misuses
- Analyze potential bias in FM responses and design prompts that mitigate that bias
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Resource details
| Contributed by: | Generative AI |
| Authored by: |
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| Licence: | More information on licences |
| Last updated: | 22 September 2025 |
| First contributed: | 02 July 2025 |
| Audience access level: | Full user |
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