Prompt Engineering: The New Key Skill in the Age of Generative AI

Prompt engineering has emerged as a crucial discipline for interacting effectively with large language models (LLMs). This skill, which goes beyond simply asking questions, focuses on crafting precise instructions to obtain accurate and useful responses from AI.

Online Courses Dedicated to Prompt Engineering: Online courses are predominantly geared towards practice and application, emphasising hands-on experience and direct usefulness across a variety of tasks:

DeepLearning.AI (in partnership with OpenAI): Offers "ChatGPT Prompt Engineering for Developers", a concise course lasting 1 hour and 30 minutes, suitable for beginners with a basic knowledge of Python. It teaches best practices for developing applications, including building custom chatbots, with hands-on practice in Jupyter Notebook environments.
Udemy: Features a variety of courses, such as "The Ultimate ChatGPT Generative AI Course", which focus on leveraging ChatGPT, Gemini and other generative AI to transform work and creativity. The curricula often include practical tools and strategies for content creation, digital marketing and SEO.
Coursera (Vanderbilt University): Offers "Prompt Engineering for ChatGPT", designed to be completed in 2 weeks (around 10 hours per week), teaching how to apply prompt engineering to work effectively with LLMs and build complex applications.
Microsoft: Provides "Generative AI for beginners", a structured course covering 18 lessons, including essential topics such as prompt engineering, with practical examples and code in Python and TypeScript.

Downloadable Resources (Digital Book/Guide Format): These resources offer a deeper and more structured understanding of prompt engineering, complementing the hands-on approach of online courses:

O'Reilly Media: "Prompt Engineering for Generative AI" by James Phoenix & Mike Taylor: A substantial 422-page volume, rated for "Beginner to intermediate" students. It covers the fundamental concepts of generative AI, the practical application of models, advanced techniques (LangChain, vector databases, autonomous agents) and image generation (Midjourney, Stable Diffusion).
O'Reilly Media: "Optimizing Prompt Engineering for Generative AI" by Erik Herman: A 216-page volume, aimed at AI professionals, developers and academics, focused on mastering the creation of effective prompts to improve the performance of conversational AI systems.
DAIR.AI: Prompt Engineering Guide: A freely accessible online guide, with downloadable resources (a GitHub repository containing code and materials), which includes detailed guides, practical examples, academic articles and references on various prompt engineering topics.
The Rundown AI: Free OpenAI & ChatGPT Prompt Engineering Guide: Available as a free downloadable PDF guide.
OpenAI API Documentation / Cookbook: Offers practical prompting strategies and guides, crucial for developers working with OpenAI models.

Advantages and Disadvantages of the Different Formats:

Online Courses: Advantages include immediate practice, real-time feedback and rapid updates. Disadvantages may be less theoretical depth and reliance on an internet connection.
Digital Books/Guides: Advantages are a thorough theoretical understanding, comprehensive coverage and the possibility of offline study. Disadvantages include less interactivity and the risk of rapid obsolescence in an evolving field.

An optimal learning strategy for prompt engineering combines the practical, interactive nature of online courses with the foundational, in-depth knowledge provided by digital books and guides, for a complete and effective acquisition of skills.