MJ
Aug 29, 2025
An excellent and well-structured course. Andrew Ng explains deep learning concepts in a clear, practical way with hands-on exercises. Highly recommend to anyone interested in AI and deep learning.
SS
Dec 24, 2024
I think this project is great start to use LLM features like summarizing, inferring, transforming and expanding. By using these, a chatbot can be developed for small useful purposes. Thank you.
By hamza s
•Jun 7, 2024
Good
By Sarnia E
•May 15, 2024
good
By aemanhemdan1
•Apr 29, 2024
شكرا
By WHO W
•Apr 21, 2024
nice
By Lahiru S
•Apr 9, 2024
good
By djazira h
•Apr 6, 2024
good
By Vinsen Y
•Apr 6, 2024
best
By Allwin S S E
•Apr 1, 2025
Nil
By Raunak K
•Jun 27, 2024
Gr8
By Thontraj T
•Apr 20, 2024
Yes
By Priya B K
•Aug 25, 2025
ok
By Vikas V
•Aug 19, 2025
na
By Siddhesh M
•Aug 7, 2025
Hi
By Shoyeb R
•Jul 12, 2025
ll
By Alejandro M
•Jun 13, 2025
GG
By Yash S M
•Feb 12, 2025
ok
By Manisha M
•Dec 2, 2024
ok
By Thiago P d R
•Oct 10, 2024
ok
By Son H
•Aug 20, 2025
.
By Amisha M
•Jul 24, 2025
.
By Bekzod I
•Apr 23, 2024
5
By Anastasia M
•Aug 7, 2025
The ChatGPT Prompt Engineering for Developers course by DeepLearning.AI offers a well-structured and beginner-friendly introduction to using large language models (LLMs) via the OpenAI API. The core concepts of prompt engineering and illustrates practical use cases such as summarization, inference, text transformation, and expansion. One of the highlights of the course is the integrated Jupyter notebook environment, which allows learners to experiment with code directly on the platform without any additional setup. This hands-on approach makes it easy to apply the techniques being taught and is particularly helpful for those who prefer learning by doing. While the course content is solid, I found that much of it covered basic concepts that I was already familiar with. I was hoping for more advanced coding examples, or deeper guidance on integrating prompt engineering into larger or more complex real-world applications. More examples on how to improve prompt performance or troubleshoot common challenges in production environments would have been valuable additions. Overall, it's a great starting point for those new to LLMs and prompt engineering, and the polished learning experience makes it accessible and engaging. For developers with some prior experience, however, it might feel a bit too introductory.
By Willem d J
•Apr 10, 2024
Great short course to learn how to build prompts yourself (instead of another 10 best prompts to do X). The side-by-side videos and Jupyter environment (which just works out of the box) is great to do some hands-on experimenting in Python. Also gave me some nice inspiration for possibilities with LLMs in general (and ChatGPT in particular).
By Ghulam H
•May 31, 2024
I recently completed the ChatGPT Prompt Engineering for Developers course on Coursera. The course provided invaluable insights into crafting effective prompts for AI interactions, enhancing both user experience and AI performance. Highly recommended for developers looking to optimize their AI applications!
By Rio P
•Aug 5, 2024
It's a very nice brief introduction to prompt engineering, it covers a lot of prompting techniques. Yet, it will be nice if there's an actual project/challenges to complete instead of just instructing the learner to 'play around'