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Amazon Web Services

Essentials of Prompt Engineering

Amazon Web Services and Amazon via AWS Skill Builder

Overview

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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.

  • Course level: Fundamental
  • Duration: 60 minutes


Activities

This course includes interactive elements, videos, text instruction, and illustrative graphics.


Course objectives

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.


Intended audience

This course is intended for the following:

  • Individuals interested in machine learning and artificial intelligence, independent of a specific job role


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


Course outline

Section 1: Introduction

  • How to Use This Course
  • Introduction
    • Welcome video

Section 2: Prompt Basics

  • Understanding Prompts
    • Elements of a prompt
  • Modifying Prompts
    • Inference parameters
    • Best practices for prompting
  • Prompt Engineering Techniques
    • Zero-shot prompting
    • Few-shot prompting
    • Chain-of-thought prompting
  • Knowledge check

Section 3: Risks

  • Prompt Misuses and Risks
    • Poisoning, hijacking, and prompt injection
    • Exposure and prompt leaking
    • Jailbreaking
  • Knowledge check

Section 4: Conclusion

  • Resources
    • Links to prompt engineering resources
  • Contact Us

Keywords

  • Gen AI
  • Generative AI

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