CF

Development Data Science Prompt Engineering Prompt Engineering

3h 10m 38s
English
Paid
Updated September 2026

Development Data Science Prompt Engineering Prompt Engineering is a 26-lesson 3 hours 10 minutes self-paced course by Udemy. Prompt Engineering: Getting Future Ready is built for beginners entering prompt engineering, bundling more than 1,000 prompts, templates, and resources across major tools.

Course facts

Lessons
26
Duration
3 hours 10 minutes
Level
All levels
Language
English
Updated
2026-09-11
Instructor
Udemy
Price
Premium

Prompt Engineering: Getting Future Ready is built for beginners entering prompt engineering, bundling more than 1,000 prompts, templates, and resources across major tools.

Text and Image Generation, Side by Side

The course covers both text-to-text tools like ChatGPT and image generators like Stable Diffusion, Leonardo AI, and Midjourney, drawing out the real differences in how you prompt each one effectively.

What You'll Learn

  • The core differences between text and image generation prompting
  • A hyper-realism prompt guide for producing convincing, realistic outputs
  • Practical, hands-on exercises across each major tool covered

Across 26 lessons, the course is built to leave you comfortable prompting across several major AI tools rather than just one.

Who teaches Development Data Science Prompt Engineering Prompt Engineering? Udemy

Udemy thumbnail

Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.

Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.

What lessons are included in Development Data Science Prompt Engineering Prompt Engineering?

This is a demo lesson (10:00 remaining)

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#1: Introduction
All Course Lessons (26)
#Lesson TitleDurationAccess
1
Introduction Demo
00:46
2
Course outline
03:08
3
What is Prompt Engineering?
08:50
4
Why is this skill suddenly so important?
05:57
5
What is Text to Text Prompting?
03:56
6
What is ChatGPT? (Optional)
04:39
7
ChatGPT Walkthrough (Optional)
03:18
8
Prompt Engineering: Text to Text
04:15
9
Playing with Text Prompts in ChatGPT
08:26
10
Repository of Prompts (Part-1)
11:47
11
Bypassing AI Content Detection
09:42
12
Leonardo AI Setup
12:18
13
Midjourney setup
13:18
14
Two approaches to setup Stable Diffusion
02:20
15
Approach 1: Offline Setup
10:56
16
Approach 1: Part 2
08:39
17
Inpainting in Stable Diffusion
04:56
18
Outpainting in Stable Diffusion
07:04
19
Approach 2: Online Setup
08:06
20
How to write Image Prompts?
16:52
21
Repository of prompts (Part-1)
02:50
22
Repository of prompts (Part-2)
03:10
23
AI tools that generate image prompts
05:39
24
Hyper-realistic prompts in Leonardo AI
09:17
25
20+ Prompts in Leonardo for Realistic generation
08:41
26
Leonardo vs Midjourney vs Stable Diffusion
11:48
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Frequently asked questions

What prerequisites are needed for this prompt engineering course?
This course is designed for beginners with no prior experience in prompt engineering. Basic familiarity with AI concepts can be helpful, but it is not required. The course starts with an introduction to prompt engineering and gradually covers more complex tools like ChatGPT, Stable Diffusion, Leonardo AI, and Midjourney.
What projects or outcomes can I expect to build in this course?
Throughout the course, students will work with over 1000 prompts, resources, and templates across different tools. You will learn to create hyper-realistic images and text using tools such as ChatGPT for text-to-text generation and Leonardo AI, Midjourney, and Stable Diffusion for image-to-image generation. Practical exercises will help reinforce the skills needed to produce realistic digital content.
Who is the target audience for this course?
The course is ideal for beginners who are eager to enter the field of prompt engineering. It caters to individuals interested in AI-generated content, whether for personal development, professional growth, or creative endeavors. The course aims to equip learners with the necessary skills to succeed in a rapidly evolving field.
How does this course compare in depth and scope to similar courses?
This course offers a comprehensive overview of prompt engineering with a focus on practical skills and hands-on exercises. It covers major tools such as ChatGPT, Stable Diffusion, Leonardo AI, and Midjourney. By providing over 1000 prompts and resources, the course ensures that students gain a robust understanding of both text-to-text and image-to-image generation, setting it apart from other introductory courses.
What specific tools and platforms are covered in the course?
The course covers major AI tools used in prompt engineering, including ChatGPT for text-to-text generation and Leonardo AI, Midjourney, and Stable Diffusion for image generation. Lessons include setup guides, usage techniques, and comparison of these tools to aid in understanding their unique capabilities and applications.
What topics are not covered in this course?
While the course provides a comprehensive introduction to prompt engineering tools, it does not delve into advanced programming or AI model development. It focuses on using existing tools and prompts rather than creating AI models from scratch. Additionally, topics beyond prompt engineering, such as broader AI ethics or machine learning algorithms, are not covered.
What is the expected time commitment for completing the course?
The course consists of 26 lessons, but the total runtime is not specified. It is self-paced, allowing students to progress according to their own schedule. The hands-on exercises and exploration of over 1000 prompts will require additional time beyond the lesson videos, especially for those who wish to explore the tools in depth.