In this course, you will be introduced to the fundamentals of crafting effective prompts. You will gain an understanding of how to refine and optimize prompts for a range of use cases. You will also explore techniques like zero-shot, few-shot, and chain-of-thought prompting. Finally, you will learn to identify potential risks associated with prompt engineering.
Who should attend
This course is intended for the following:
- Individuals interested in machine learning and artificial intelligence, independent of a specific job role
Course Prerequisites
Developing Generative AI Solutions is part of a series that facilitates a foundation on artificial intelligence, machine learning, and generative AI. If you have not done so already, it is recommended that you complete these two courses:
- Fundamentals of Machine Learning and Artificial Intelligence
- Exploring Artificial Intelligence Use Cases and Applications
What you will learn
In this course, you will learn how to do the following:
- Define the fundamental elements of a prompt.
- Define negative prompting.
- Describe the effect of inference parameters on model outputs.
- Identify best practices for designing effective prompts.
- Describe fundamental prompt engineering techniques including zero-shot, few-shot, and chain-of-thought prompting.
- Identify common prompt misuses and risks.
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