- Learn prompt engineering best practices for application development
- Discover new ways to use LLMs, including how to build your own custom chatbot
- Gain hands-on practice writing and iterating on prompts yourself using the OpenAI API
Overview
Syllabus
In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications. Using the OpenAI API, you’ll be able to quickly build capabilities that learn to innovate and create value in ways that were cost-prohibitive, highly technical, or simply impossible before now.
This short course taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI) will describe how LLMs work, provide best practices for prompt engineering, and show how LLM APIs can be used in applications for a variety of tasks, including:
- Summarizing (e.g., summarizing user reviews for brevity)
- Inferring (e.g., sentiment classification, topic extraction)
- Transforming text (e.g., translation, spelling & grammar correction)
- Expanding (e.g., automatically writing emails)
In addition, you’ll learn two key principles for writing effective prompts, how to systematically engineer good prompts, and also learn to build a custom chatbot.
All concepts are illustrated with numerous examples, which you can play with directly in our Jupyter notebook environment to get hands-on experience with prompt engineering.
In partnership with OpenAIWe are excited to collaborate with OpenAI in offering this course, designed to help developers effectively utilize LLMs. This course reflects the latest understanding of best practices for using prompts for the latest LLM models.
Who should join?ChatGPT Prompt Engineering for Developers is beginner-friendly. Only a basic understanding of Python is needed. But it is also suitable for advanced machine learning engineers wanting to approach the cutting-edge of prompt engineering and use LLMs.
Taught by
Andrew Ng and Isa Fulford
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Reviews
5.0 rating, based on 7 Class Central reviews
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Short course, with good tips, inspiring examples, and inviting jupyter notebooks to explore further.
Don't waste any more time with the social media hype, just take this course and you're equipped with the skills to increase your productivity. -
In summary, this course is easy to recommend.
It’s great to finally have an authoritative resource on how to use ChatGPT effectively. Despite being in beta, the learning interface is quite good. And for such a short course, it packs a lot of useful information.
Finally, the course is free, though only for a limited time according to DeepLearning.AI. So take it while you can.
You can find my full review here: https://www.classcentral.com/report/openai-chatgpt-course/ -
For anyone aspiring to become a Prompt Engineer, I would recommend this short course, it's fun, short, exposes the best practices for GPT prompt engineering, and can sure be applicable to all aspects of AI model prompts as well.
This short course explains how Software Engineers can use the OpenAI LLM (Large Language Model) to build and implement into their Generative AI project/product using the OpenAI Python library. -
Samvita KarkalAmazing course! This course is a complete game-changer! Honoured to learn from the creators themselves. With the help of Isabella Fulford and Andrew Ng, I've gained a better understanding of how to become a better prompt engineer by leveraging the power of chatGPT. Highly recommend this course for developers! -
Arthur RAmazing course!
Thank you for teaching these concepts and making them easier to understand.
This is definitely something worth knowing. I highly recommend it to everyone who wants to create and integrate chatbots into thier projects. -
The course creatively describe Prompt Engineering to people who already have some introduction to Artificial Intelligence, have a basic experience with python, and used ChatGPT (even for fun).
