In this course, you will learn the principles, techniques, and the best practices for designing effective prompts. This course introduces the basics of prompt engineering, and progresses to advanced prompt techniques. You will also learn how to guard against prompt misuse and how to mitigate bias when interacting with FMs.
Course level: Intermediate
Duration: 4 hours
Activities
This course includes eLearning interactions.
Course objectives
In this course, you will learn to:
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
Intended audience
This course is intended for:
Prompt engineers, data scientists, and developers
Prerequisites
We recommend that attendees of this course have taken the following courses:
Introduction to Generative AI - Art of the Possible (1 hour, digital course)
Planning a Generative AI Project (1 hour, digital course)
Amazon Bedrock Getting Started (1 hour, digital course)
