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Learn prompt engineering best practices for application development using OpenAI APIs, taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI).
ChatGPT Prompt Engineering for Developers is a concise, hands-on course designed to help developers quickly master the essentials of working with large language models (LLMs) using the OpenAI API. The course covers the fundamentals of how LLMs work, best practices for crafting effective prompts, and real-world applications such as summarization, inference, transformation, and text expansion.
Guided by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI), participants get practical experience with Jupyter notebooks and code examples, building a custom chatbot and exploring prompt engineering techniques for various tasks. The course is tailored for beginners and developers eager to integrate AI capabilities into their applications.
Beginner (No Prior Experience Needed)
light Light (1–5 Hours/Week)
Self-Paced (Work On Your Own Schedule)
Learn A New Skill
Overwhelmingly positive, with high ratings for clarity, practical value, and the reputation of the instructors.
"Short, clear, and to the point."
"Great for getting started with prompt engineering."
"Andrew Ng never disappoints—super accessible."
"Loved the hands-on examples."
"Perfect for beginners, but wish it was longer."
Users on Reddit and Quora highlight the course's value as a free, rapid introduction to prompt engineering, especially for those new to LLMs. Some advanced users note it's too basic if you're already familiar with OpenAI APIs.
The course is highly recommended for beginners and developers seeking a fast, practical entry into prompt engineering. Advanced users may find it too basic.
The course promises to teach prompt engineering best practices and practical use of LLMs via the OpenAI API. These claims are fulfilled, with hands-on examples and immediate applicability.
Always free since launch.
No upsells or secondary offers.
Many learners report successfully building small LLM-powered apps and chatbots after completing the course. Over 100,000 enrolled as of 2024.
The marketing is accurate and understated. No hype or misleading claims.
DeepLearning.AI (custom platform) and Coursera; both are reliable and user-friendly.
All lessons are available for replay; code examples can be downloaded.
Best on desktop; limited support for mobile.
Stable internet, modern browser, Python for code exercises.
Solid delivery on trusted platforms; desktop experience is best.
No significant complaints or disputes reported.
Not applicable; the course is free.
Transparent. The course is free and the promises align with the content.
Feedback is positive, with few concerns beyond requests for deeper material.
No major red flags. The course is straightforward and well-received.
Outstanding value—it's free, concise, and taught by world-class instructors.
We strongly recommend this course for anyone curious about prompt engineering or LLMs. For advanced users, it serves as a refresher.
Outstanding value—it's free, concise, and taught by world-class instructors.
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