Development Data Science Prompt Engineering Prompt Engineering
Course description
Welcome to "Prompt Engineering: Getting Future Ready," the perfect course for beginners looking to dive into the world of prompt engineering in 2023. This comprehensive course offers over 1000 prompts, resources, and templates that cover the major tools used in prompt engineering, including ChatGPT, Stable Diffusion, Leonardo AI, and Midjourney. Through this course, you will gain a deep understanding of prompt engineering and how it works.
Read more about the course
You will explore the key differences between text-to-text generation and image-to-image generation, and learn how to use each of the tools covered in the course effectively. Whether you're interested in generating text or images, you'll have the skills you need to create stunning and hyper-realistic results.
The course also features a hyper-realism prompt guide that will take you through the steps of creating incredibly realistic images and text that are almost indistinguishable from real life. With practical examples and hands-on exercises, you'll gain the skills you need to become an expert in prompt engineering.
By the end of this course, you will be well equipped to use the latest tools and techniques in prompt engineering, setting you up for success in a field that is constantly evolving. So, enroll now and join us on this exciting journey towards becoming a prompt engineering expert!
Watch Online
Watch Online Development Data Science Prompt Engineering Prompt Engineering
All Course Lessons (26)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 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 |
Unlock unlimited learning
Get instant access to all 25 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.
Learn more about subscriptionComments
0 commentsWant to join the conversation?
Sign in to commentSimilar courses
Statistics Bootcamp (with Python): Zero to Mastery
OpenAI API with Python Bootcamp: ChatGPT API, GPT-4, DALL·E
The OpenAI API: GPT, DALL-E & Whisper
Build an AI Stock Analyzer using ChatGPT, Python and LangChain
