WOWSchool.ai
Home/Courses/ChatGPT Prompt Engineering
BeginnerChatGPTPromptingOpenAI
💬

ChatGPT Prompt Engineering

Official OpenAI & DeepLearning.AI short course

4.9/5(5,200 reviews)
500,000students
9 lessons
~1.5 hourstotal

Last updated: 2025 · Taught by Isa Fulford & Andrew Ng

💬

Start This Course

100% Free on DeepLearning.AI

9 lessons · ~1.5 hours
Hosted on DeepLearning.AI
Certificate of completion
Progress tracking

About this course

💬

Sourced from

DeepLearning.AI

Visit

Co-created by Isa Fulford from OpenAI and Andrew Ng from DeepLearning.AI, this short course teaches you the best practices for prompting large language models. You'll learn how to write clear, specific prompts, use techniques like chain-of-thought reasoning, and build real applications including a custom chatbot — all without needing to write code.

What you'll learn

Write clear, specific prompts using best practices from OpenAI
Use iterative prompt refinement to improve results
Summarise, infer, and transform text with ChatGPT
Build a custom chatbot without writing code
Apply chain-of-thought prompting for complex tasks
Understand how LLMs interpret and respond to prompts

Requirements

No coding experience required for the core concepts
Basic familiarity with ChatGPT is helpful but not required
A free OpenAI account to follow along

Course content

9 lessons · ~1.5 hours total

1

Introduction to Prompt EngineeringFREE PREVIEW

Video · 10 min

10 min
2

Guidelines: Writing Clear & Specific PromptsFREE PREVIEW

Video · 15 min

15 min
3

Iterative Prompt Development

Exercise · 10 min

4

Summarising Text with ChatGPT

Exercise · 10 min

Your instructor

🤖

Isa Fulford & Andrew Ng

OpenAI Engineer & DeepLearning.AI Founder

4.9/5Rating
500,000Students
8 courses

Isa Fulford is a member of the technical staff at OpenAI, specialising in language models and developer education. Andrew Ng is the founder of DeepLearning.AI and one of the world's leading AI educators. Together they created this course to make prompt engineering accessible to everyone.

Course includes

9 lessons
~1.5 hours of content
Certificate of completion
Progress tracking
Go to DeepLearning.AI