ChatGPT Prompt Engineering: 70,000+ Prompts Generative AI
Develop essential generative ai & chatgpt skills with expert instruction and practical examples.
What You'll Learn
Skills you'll gain:
Prerequisites & Target Audience
Skill Level
Requirements
Who This Course Is For
Course Information
About This Course
Course DetailsPrompt Engineering is the skill that will be required to stay on the job in the future because automation using AI tools is increasing day by day and it is creating new job roles called Prompt Engineers. You know that automation replaces workers and this will be the future. But some intervention is always needed so Prompt Engineers will be the first persons who will be preferred over others and this is about the prompting skills not only the job skills or knowledge.
Of course, skills and knowledge are an important part but you would need to have prompting skills along with knowledge and job skills. Being a content creator, I have spent long hours testing and creating new prompts that I believe are super useful for everyone. So, if you want to learn Prompt Engineering then this course is for you.
In this course, you will find all the important prompting techniques and the answers to common questions you might have in your mind about prompt engineering. Also, if you don't find the answer then you can message me anytime. Also, you will get these things in the course:1.
List of 70,000+ prompts that you can easily copy and paste2. Structure to create a Perfect Prompt3. A list of 38 AI Tools4.
Topics Covered
Course Details
Course Details
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$19.99
list price when the catalogue was read (2026-07-07); Udemy sale prices run lower
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Concepts behind this area
Prompt Engineering
Prompt engineering is the practice of composing what you send a generative model, the instruction, the supporting material and the worked examples, so that it returns something you can actually use.
Retrieval-Augmented Generation
Retrieval-augmented generation is a pattern that searches a body of documents when a question arrives and places the passages it finds into the model's prompt, so the answer is drawn from those sources rather than from training alone.
Natural Language Processing
Natural language processing is the area of AI that makes human language readable and writable by machine: sorting text into categories, pulling structured facts out of it, translating it, generating it and measuring whether any of that came out right.
The field, explained: Artificial Intelligence & Machine Learning
Wider context: the fields we cover, the glossary and certification exams, all written by us rather than pulled from a provider feed.