ChatGPT Prompt Engineering

ChatGPT Prompt Engineering

Description of the ChatGPT Prompt Engineering AI

ChatGPT Prompt Engineering is a free training course from DeepLearning.AI and OpenAI dedicated to practical methods for crafting prompts for large language models. The course authors are DeepLearning.AI founder Andrew Ng and Isa Fulford from OpenAI. The course is hosted on the DeepLearning.AI platform and is available through Coursera.

The curriculum is built around working with the OpenAI API and includes video lectures as well as Jupyter notebooks with ready-made code examples. Learners master applied tasks such as text summarization, sentiment analysis, translation, grammar correction, and building a simple chatbot. The course lasts about an hour and a half and is designed to help learners quickly gain practical skills without diving deep into theory.

ChatGPT Prompt Engineering Features

Feature	Value
Type	Training course
Category	AI courses, Learning assistants, Prompts
Business model	Free
Duration	1.5 hours
Authors	Isa Fulford (OpenAI), Andrew Ng (DeepLearning.AI)
Platform	DeepLearning.AI (via Coursera)
Platform launch year	2017

Who is ChatGPT Prompt Engineering for?

Beginners with basic Python knowledge

The course is designed for those already familiar with the basics of Python who want to learn how to interact effectively with language models. Minimal programming experience lets them jump straight into hands-on exercises in Jupyter notebooks.

Experienced ML engineers

Specialists already working in machine learning will find systematic approaches to prompt engineering in the course that help configure model behavior for specific tasks faster and more accurately.

How to use ChatGPT Prompt Engineering?

Accessing the course

The course is available free of charge during the beta testing period of the DeepLearning.AI platform. To get started, simply visit the course website — no additional payments or credit card details are required.

Completing the program

The training is built around short video lectures followed by hands-on exercises in Jupyter notebooks. Learners can immediately run code, experiment with prompts, and see the model's output in real time.

Key features of ChatGPT Prompt Engineering

Working with the OpenAI API

The course provides hands-on experience with large language models through the OpenAI API. All code examples can be run and modified.

Teaching core prompting principles

The program focuses on two main principles of crafting effective prompts: clarity of instructions and providing the model with sufficient context to complete the task.

Systematic prompt improvement

Learners master an iterative approach: formulate a prompt, evaluate the result, and gradually refine the prompt until they get the desired response.

Benefits of ChatGPT Prompt Engineering

Free access

During beta testing, the course is provided free of charge, making it accessible to everyone with no financial investment required.

Expert authors

The course is led by recognized specialists: DeepLearning.AI founder Andrew Ng and OpenAI representative Isa Fulford. This ensures the materials are current and aligned with modern industry practices.

Practical focus

The 90-minute program focuses on real-world tasks and experiments with code. Learners don't spend time on excessive theory but immediately apply what they've learned.

Drawbacks of ChatGPT Prompt Engineering

Limited duration

The course lasts 1.5 hours, which doesn't allow for an in-depth look at advanced prompt engineering techniques or complex use cases.

Educational content rather than a ready-made product

The course is learning material, not a commercial tool. It provides an understanding of approaches and methods but doesn't offer a ready-made solution for deployment in a production environment.

What tasks does ChatGPT Prompt Engineering solve?

Text summarization

The course teaches how to craft prompts that make the model condense long texts into brief summaries without losing key meaning.

Sentiment analysis

Learners discover how to use a well-constructed prompt to determine the emotional tone of a text: positive, negative, or neutral.

Translation and grammar correction

Prompt engineering makes it possible to use the language model as a translator and proofreader — you just need to describe the task in natural language.

Automated email writing

The course includes examples of generating business correspondence: the model is given context and style requirements, after which it independently composes the email.

Building your own chatbot

One of the final tasks in the course is creating a simple chatbot that holds a conversation with the user on a given topic.

ChatGPT Prompt Engineering Pricing

The course is provided free of charge during the beta testing period of the DeepLearning.AI platform. No bank card details or paid subscription are required to start learning.

ChatGPT Prompt Engineering Terms of Use

To access the course, you need to register on the DeepLearning.AI platform or through Coursera. The course is free during the beta testing period; further distribution terms after the beta phase ends have not been announced at this time.

ChatGPT Prompt Engineering Availability

Platform

The course runs on the DeepLearning.AI and Coursera platforms, providing access to users around the world. The interface language is English. A stable internet connection is all that's needed to complete the course.

Regions

No regional restrictions are specified. The course serves a broad international audience, and no special VPN requirements are mentioned.

How ChatGPT Prompt Engineering differs from alternatives

Other solutions related to prompt engineering and education in this field exist on the market, including Nolej, Chaos Veras, Present AI, and HoopsGPT. The main difference of the DeepLearning.AI course is its authority: it was created in collaboration with OpenAI and Andrew Ng personally. In addition, the course emphasizes not general theoretical concepts but practical work with a real API and code. Free access during the beta testing period also sets it apart from many paid alternatives.

Conclusion

ChatGPT Prompt Engineering is a short yet substantive free course from DeepLearning.AI and OpenAI that introduces developers to practical prompt engineering techniques. Under the guidance of Andrew Ng and Isa Fulford, learners master the key principles of crafting prompts, solve applied tasks (summarization, translation, sentiment analysis), and build their own chatbot. Thanks to its accessible delivery and hands-on focus, the course suits both beginners and experienced engineers looking to systematize their skills in working with large language models.