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10 Practical Resources to Strengthen Your Prompt Engineering Skills

April 16, 2025 by Kyle Strand - Estefanny Pérez Duque Leave a Comment


In the era of generative artificial intelligence, knowing how to interact effectively with Large Language Models (LLMs) is an essential skill for modern knowledge management. This process, known as prompt engineering, refers to the practice of designing and formulating prompts in a way that maximizes the quality and relevance of the responses generated by AI. By mastering the art of crafting well-structured prompts, individuals can obtain more accurate, useful, and goal-aligned results.

In this article, we will explore a variety of resources to help you improve as a prompt engineer, enhancing your ability to get the most out of language models.

Keep in mind that while you will become more proficient with prompt engineering techniques, validating the responses generated by language models is extremely important, as the information may contain inaccuracies or hallucinations.

1. Prompt Engineering Guide | DAIR.AI

DAIR.AI brings together a wide range of resources aimed at educating researchers and professionals about prompt engineering. This material dives deep into key topics related to LLMs and prompt formulation. It also compiles a variety of additional resources, including examples, supplementary videos, and research papers.

2. Prompt Engineering Fundamentals | Microsoft

Under the broader objective of providing an overview of Generative AI and LLMs, Microsoft has assembled practical guides covering for both the fundamentals of prompt engineering, as well as a guide to advanced prompting.

3. Interactive Prompt Engineering Tutorial | Anthropic

This guide aims to provide a comprehensive step-by-step understanding of how to engineer optimal prompts, with a focus on Anthropic’s Claude, and with principles relevant to prompt engineering more broadly.  It covers beginner, intermediate, and advanced topics and will help you build strong prompts.

4. Awesome GPT Prompts List | GitHub

“Awesome Lists” are curated collections of outstanding resources regularly updated by the GitHub community. In this link, you’ll find a prompt list selected by this community based on the highest-ranked GPTs. These lists gather creative, useful, and effective prompt examples that you can use or adapt to get the most out of models like ChatGPT and others.

5. Prompt engineering: overview and guide I Google Cloud

This guide is the perfect starting point for anyone interested in learning the fundamentals of prompt design. It covers key concepts, essential components, and practical examples to help you get started. No matter which type of model you’re using, this guide will show you how a well-crafted prompt can generate text, code, images, music, and more.

6. OpenAI Academy

OpenAI Academy dedicates specific resources to teaching how to design and structure prompts effectively in order to get accurate, useful, and goal-aligned responses. It offers guides, workshops, and hands-on examples focused on prompt engineering, allowing participants to experiment, learn from real-world cases, and share their own approaches with a global community.

7. Craft effective prompts for Microsoft 365 Copilot I Microsoft Learn

Discover how to create clear, effective, and contextual prompts that help you create, transform, simplify, and organize content across all your favorite Microsoft 365 applications. This hands-on course teaches you how to get the most out of Copilot by learning to precisely define the objective, context, source, and expectations of each prompt to obtain more useful and relevant results.

8. Prompt Engineering for ChatGPT | Vanderbilt University

This course teaches you how to apply prompt engineering effectively when working with advanced language models like ChatGPT. You’ll learn how to design prompts that tap into the full potential of these tools, allowing you to get more useful, accurate, and surprising results. You can explore the use of prompt patterns to activate powerful features within the models and learn to build complex applications based on prompts.

Coursera mentions that this course is ideal for both curious beginners and professionals looking to leverage AI in their daily work.

9. OpenAI Playground

This platform is ideal for testing and fine-tuning your prompts interactively. Here, you’ll find a vast library of example prompts for use cases as diverse as understanding code, correcting grammar, converting regular text into emojis, and much more.

10. Chatbot Arena

It’s a platform designed to test and compare different chatbots in one place. It’s a space where you can interact with various AI models—like virtual assistants or conversational bots—to evaluate their performance, capabilities, and responses. The idea is to test two different tools at the same time to answer the same question, and then you vote for the most accurate response based on your needs. They also maintain a live leaderboard that ranks the platforms based on over a million votes received.

As artificial intelligence continues to evolve, mastering the creation of prompts not only improves the quality of the responses but also opens up new opportunities to harness the potential of AI across different fields. The key is to learn from available resources, experiment, validate, and refine your techniques based on the results obtained.

Do you have other resources to recommend? Have you used any of these 10? Tell us in the comments!


Filed Under: Knowledge Management Tagged With: Actionable Resources, Artificial Intelligence, Natural Language Processing

Kyle Strand

Kyle Strand is Lead Knowledge Management Specialist and Head of the Felipe Herrera Library in the Knowledge, Innovation and Communication Sector of the Inter-American Development Bank (IDB). For more than a decade, his work has focused on initiatives to improve access to knowledge both at the Bank and in the Latin American and Caribbean region. Kyle designed the first open repository of knowledge products at the IDB and spearheaded the idea of software as a knowledge product to be reused and adapted for development purposes, which led the IDB to become the first multilateral to formally recognize it as such. Currently, Kyle coordinates library services within the organization, supports the open knowledge product lifecycle including publications and open data, and promotes the use of artificial intelligence and natural language processing as a cornerstone of knowledge management in the digital age. Kyle is also executive editor of Abierto al Público, a blog in Spanish that promotes the opening and reuse of knowledge. He has a B.A. from the University of Michigan and an M.A. from the George Washington University.

Estefanny Pérez Duque

Editor and consultant for the Knowledge and Learning Division of the Inter-American Development Bank (IDB). Ecuadorian, passionate about political science, international relations, and knowledge management. Bringing a rich academic background to her work, she holds a Master's degree in Latin American Studies with a focus on gender and development from Ohio University. Prior starting at the IDB, she contributed to the Atlantic Council's Digital Forensic Research Lab and at the Council of the Americas where she promoted programs related to public and private investment in the region. These initiatives targeted priority areas such as healthcare, innovation, and digital transformation.

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Open knowledge can be described as information that is usable, reusable, and shareable without restrictions due to its legal and technological attributes, enabling access for anyone, anywhere, and at any time worldwide.

In the blog 'Abierto al Público,' we explore a wide range of topics, resources, and initiatives related to open knowledge on a global scale, with a specific focus on its impact on economic and social development in the Latin American and Caribbean region. Additionally, we highlight the Inter-American Development Bank's efforts to consistently disseminate actionable open knowledge generated by the organization.

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