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Prompt Engineering for ChatGPT

Prompt Engineering for ChatGPT is a beginner-level online course from Coursera in Prompt Engineering. It is structured in 6 modules with 3 stated learning outcomes, over 18h 48m. Learners rate it 4.8/5 from 8.3K ratings on Coursera.

Part of our Prompt Engineering courses collection, where we compare it against 10 other courses.

★★★★★4.8(8.3K reviews) English

Course highlights

Provider Coursera
Duration 18h 48m
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.8★ (8.3K reviews)
Price Check price

About this course

Prompt Engineering for ChatGPT is a beginner-level course on Coursera offered by Vanderbilt University. It runs for 18 hours and 48 minutes and is taught in English. The course is self-paced and provides a certificate on completion. It is designed for anyone with basic computer skills, such as using a browser and accessing ChatGPT. The course costs nothing to enroll in, as the provider does not publish a price.

What you learn in this course rests on three core ideas. First, you apply prompt engineering to work effectively with large language models like ChatGPT. Second, you use prompt patterns to tap into powerful capabilities within those models. Third, you create complex prompt-based applications for life, business, or education. The syllabus moves from course introduction through introduction to prompts, prompt patterns I, few-shot examples, and prompt patterns II and III. Skills built include AI literacy, ChatGPT use, large language modeling, prompt engineering, LLM application, prompt patterns, AI-powered creativity, and AI enablement.

By the end of the course, a learner can write stronger prompts for ChatGPT, adapt prompts to different goals, and improve them when the first response falls short. You will be able to ask for structured output, guide the model with a persona or examples, and combine prompts into simple workflows. For example, you could create a reusable prompt that asks follow-up questions, plans a task, and returns results in an organized format.

This course does not cover programming or deep technical AI theory. It assumes only basic computer usage skills. Learners who need hands-on coding labs or a large independent project may find the guided prompt-writing assignments limiting. Those seeking a more technical AI bootcamp may prefer the Udemy bootcamp listed in the alternatives, which has over 400K learners and a 4.5 rating.

Free options include the Udemy course ChatGPT Prompt Engineering Free Course, which has 5K+ ratings and 60K+ learners, and the Codecademy course Learn How to Use AI for Data Analysis, which is free and takes under four hours. Both are beginner-level and taught in English.

What you’ll learn

How to apply prompt engineering to effectively work with large language models, like ChatGPT
How to use prompt patterns to tap into powerful capabilities within large language models
How to create complex prompt-based applications for your life, business, or education

Level and time commitment

Coursera lists this course at Beginner level.
No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.
What the provider says you need first:
  • Anyone can take the course and the only required knowledge is basic computer usage skills, such as using a browser and accessing ChatGPT.
Time commitment: 18h 48m.
It is self-paced, so that figure is the material, not a fixed schedule.

Skills you’ll gain

AI literacyChatGPTLarge Language ModelingPrompt EngineeringLLM ApplicationGame DesignArtificial IntelligencePrompt PatternsAI powered creativityAI Enablement

What this course covers

6 modules

The 6-part outline Coursera publishes for this course, across 18h 48m.

Module 1 · Course Introduction
Module 2 · Introduction to Prompts
Module 3 · Prompt Patterns I
Module 4 · Few-Shot Examples
Module 5 · Prompt Patterns II
Module 6 · Prompt Patterns III

What learners rate it

4.8
★★★★★
8.3K ratings

Rated 4.8/5 by 8.3K learners on Coursera (checked 8 Nov 2026).

This rating is collected by Coursera from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Coursera →

How this page is put together

Compiled by the CoursesGlobal editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Coursera course pages — we never estimate a price or a rating. Last verified 8 November 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure

Compare with alternatives

Same topic, different trade-offs — here's who runs each one and what it's best at.

Course Provider Rating Price Duration Why pick this one
Prompt Engineering for ChatGPT This Coursera 4.8★ Check price 18h 48m Beginner-friendly · 18h 48m
AI Mastery for Professionals Coursera 4.8★ Check price 1 month Highest rated (4.8★ from 10.2K reviews) View ↗
Generative AI: Prompt Engineering Basics Coursera 4.7★ Check price 9h 39m Quickest to finish (9h 39m) View ↗
The Complete Prompt Engineering for AI Bootcamp (2026) Udemy 4.5★ ₹499 19.5 hours Most popular — 429K learners View ↗
See all Prompt Engineering courses →

Common questions

How much does Prompt Engineering for ChatGPT cost?

Coursera does not publish a price we can read on the course page, so we do not show one. Check the fee on the provider site — we would rather say nothing than quote a number we did not collect.

Does Prompt Engineering for ChatGPT come with a certificate?

Yes — Coursera lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

How long does Prompt Engineering for ChatGPT take?

Coursera lists it at 18h 48m. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.

Is Prompt Engineering for ChatGPT suitable for beginners?

Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.

What does Prompt Engineering for ChatGPT cover?

It is organised into 6 modules, starting with Course Introduction and going on to Introduction to Prompts, Prompt Patterns I, Few-Shot Examples, Prompt Patterns II, among others. The full outline is on this page.

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