Essentials of Prompt Engineering

Essentials of Prompt Engineering

AWS LIS-AWSII-10405

Free of Charge

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.