ChatGPT Prompt Engineering for Developers: A short course from OpenAI and DeepLearningAI
ChatGPT Prompt Engineering for Developers is a free course from OpenAI and DeepLearningAI that teaches developers how to use large language models (LLMs) to quickly build powerful applications. In this course, taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI), you will learn how to use the OpenAI API to build capabilities that innovate and create value, as well as two key principles for writing effective prompts, how to systematically engineer good prompts, and how to build a custom chatbot. With only a basic understanding of Python, you can learn to use LLMs for summarizing, inferring, transforming text, and expanding. Get hands-on experience with prompt engineering and take advantage of the revolutionary new capabilities of generative AI. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
No Information
Language:
English
Start Date:
2023-04-27 00:00:00
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [July 18th, 2023]
ChatGPT Prompt Engineering for Developers is a short course from OpenAI and DeepLearningAI that teaches developers how to use a large language model (LLM) to quickly build new and powerful applications. In this course, taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI), participants will learn how LLMs work, best practices for prompt engineering, and how to use LLM APIs in applications for a variety of tasks, such as summarizing, inferring, transforming text, and expanding. Participants will also learn two key principles for writing effective prompts, how to systematically engineer good prompts, and how to build a custom chatbot. All concepts are illustrated with numerous examples, which can be explored in a Jupyter notebook environment. This course is beginner-friendly and requires only a basic understanding of Python. It is also suitable for advanced machine learning engineers wanting to approach the cutting-edge of prompt engineering and use LLMs.
Pros & Cons
Practical and high-quality materials: Users have praised the course for providing practical and high-quality materials. One user mentioned that they just finished the course and highly recommended it, indicating that the course offers valuable content.
Efficient and structured understanding: A user who personally took the course mentioned being deeply impressed by how it helped them understand how to prompt ChatGPT in an efficient and structured way. This suggests that the course effectively teaches the necessary skills and techniques for prompt engineering.
Lack of eye contact in the video: One user humorously pointed out that there was a funny moment in the video where both Andrew Ng and the team member failed to make eye contact. While this may not directly impact the course content, it could be seen as a minor distraction or a lack of attention to detail.
Limited scope of applications: A user expressed their opinion that the course should cover more than just prompting when it comes to using ChatGPT with data input. They suggested that the course could explore other applications such as creating target mapping formats. This indicates that some users may feel that the course could have a broader focus.
Course Provider
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