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Fin 4 June 2026

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Essentials of Prompt Engineering

Fundamentos de la Ingeniería de Prompts En este curso, se te introducirán los fundamentos de la creación de prompts efectivos. Obtenerás una comprensión de cómo refinar y optimizar prompts para una variedad de casos de uso. También explorarás técnicas como el prompting zero-shot, few-shot y de cadena de pensamiento. Finalmente,.
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Resumen

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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