💡 Prompt engineering is a rapidly evolving field within artificial intelligence (AI) and machine learning (ML), focusing on the development of effective prompts that guide AI models, such as large language models (LLMs), to generate desired outputs.
👉 Prompt Engineering: More Prompts Than Atoms in the Universe
As AI technologies, particularly generative AI, become more integrated into various industries, the demand for skilled prompt engineers has surged.
This article explores five of the best prompt engineering courses available online, catering to a range of learners from beginners to advanced practitioners, including new additions from YouTube and Finxter Academy.
1. Prompt Engineering Tutorial – Master ChatGPT and LLM Responses (YouTube)
This YouTube tutorial offers a concise yet comprehensive guide to mastering prompt engineering for ChatGPT and other large language models (LLMs). It’s an excellent resource for those looking to understand how to craft effective prompts to elicit the perfect responses from AI models. The tutorial is accessible to a wide audience, including those new to the field.
2. ChatGPT Prompt Engineering for Developers (Andrew Ng)
The “ChatGPT Prompt Engineering for Developers” course, offered in collaboration between DeepLearning.AI and OpenAI, is a notable contribution by Andrew Ng to the field of prompt engineering. This free, short course is designed to equip developers with the best practices for application development using large language models (LLMs).
Participants will learn how to effectively utilize LLMs for a variety of tasks, including summarizing user reviews, sentiment classification, topic extraction, text transformation, and automatic email writing.
The course is beginner-friendly, requiring only a basic understanding of Python, but it also offers valuable insights for advanced machine learning engineers looking to explore the cutting-edge of prompt engineering.
Through hands-on practice with the OpenAI API, learners will gain practical experience in writing and iterating on prompts, enabling them to build their own custom chatbots and other generative AI applications.
This course reflects the latest understanding of best practices for using prompts with the most recent LLM models, making it a timely resource for developers interested in leveraging generative AI technologies.
👉 ChatGPT Prompt Engineering for Developers
3. Mastering Prompt Engineering – Finxter Academy
Finxter Academy‘s courses on prompt engineering are a comprehensive online resource designed to teach the art of prompt engineering with Python and OpenAI. This course is suitable for learners aiming to build cutting-edge, AI-powered applications that understand and respond to complex queries. It covers the fundamental technologies needed on the path toward becoming a proficient prompt engineer.
👉 🚀 Master the Power of ChatGPT Function Calls & Embeddings API! 🚀
4. Prompt Engineering for ChatGPT – Vanderbilt University (Coursera)
Offered by Vanderbilt University on Coursera, this course is tailored for individuals interested in crafting prompts for ChatGPT. It covers essential skills such as creativity, problem-solving, and writing, making it ideal for enhancing interactions with ChatGPT and other generative AI models.
👉 https://www.coursera.org/learn/prompt-engineering
5. The Complete Prompt Engineering for AI Bootcamp (2024) on Udemy
The course “The Complete Prompt Engineering for AI Bootcamp (2024)” on Udemy is a comprehensive guide designed for those eager to master the art of prompt engineering with cutting-edge AI tools like GPT-4. Instructors Mike and James, who are both seasoned educators and practitioners in the field, offer a deep dive into the world of AI, covering major models such as ChatGPT, Midjourney, GitHub Copilot, Stable Diffusion, and more.
The course is structured to teach the “Five Principles of Prompting” alongside common tips and tricks for achieving professional-grade output.
Through 15+ real-world projects, learners will apply their knowledge to both text and image generation use cases. Additionally, the course covers Python coding patterns and tooling essential for running and scaling AI reliably in production, aiming to prepare students for roles as AI Engineers.
This course is updated monthly with fresh content to keep pace with the rapidly evolving AI landscape, ensuring learners stay current with the latest advancements and best practices in prompt engineering.
👉 The Complete Prompt Engineering for AI Bootcamp (2024)
Also check out our academy courses on prompt engineering:
🧑💻 Recommended: 10 Steps Learning Path: Becoming a Python Prompt Engineer 🚀 on the Finxter Academy