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Prompt Engineering: ChatGPT, Claude & Gemini (2026)
New
110 students
Prompt Engineering: ChatGPT, Claude & Gemini (2026)
Learn to write prompts that actually work — from fundamentals to reusable templates you'll use daily
Created byPop Claudiu
Last updated 9/2026
English
English [Auto],
What you'll learn
- How large language models actually process prompts, so you know why some prompts work and others don't
- The 5-part structure behind every great prompt: role, context, task, format, and constraints
- How to use step-by-step reasoning, examples, and system prompts to get accurate, reliable results
- How to spot and reduce AI hallucinations, debug bad prompts, and build reusable prompt templates
Explore related topics
Course content
1 section • 15 lectures • 40m total length
Requirements
- No coding or prior AI experience required. You just need access to a free AI chat tool like ChatGPT, Claude, or Gemini.
Description
This course contains the use of artificial intelligence.
This course contains the use of artificial intelligence. AI tools were used to help with research, structuring content, and drafting portions of the written material and voice-over. All content was reviewed, edited, and verified by the instructor before publishing.
Most people use ChatGPT, Claude, and Gemini at a fraction of their true potential — not because the AI is weak, but because the prompt is vague.
This course teaches you prompt engineering as a transferable skill, not a collection of tricks tied to one tool. You'll learn exactly how language models process your instructions, how to structure any prompt so nothing important gets lost, how to make the model reason step-by-step instead of guessing, how to control tone and format, how to catch and reduce hallucinations, and how to build a personal library of prompts that you can reuse for the rest of your work.
What you will learn:
How large language models actually process your prompts
The 5-part structure behind any great prompt (role, context, task, format, constraints)
When to use examples (few-shot prompting) vs. plain instructions (zero-shot prompting)
How to trigger precise step-by-step reasoning for complex tasks
How to set persistent behavior with system prompts and personas
Specific techniques for writing, summarizing, analyzing, and coding tasks
How to get reliable structured output (JSON, tables, templates)
How to recognize and reduce AI hallucinations
How to quickly troubleshoot a disappointing AI response
How to chain prompts together for complex, multi-step work
What's different (and what's the same) between ChatGPT, Claude, and Gemini
How to build your own library of reusable prompt templates
Who this course is for:
Marketing, sales, HR, or finance professionals who want better results from artificial intelligence, faster
Absolute beginners who use ChatGPT or Claude but want to take the guesswork out of it
Freelancers and entrepreneurs who want to automate repetitive work with the help of artificial intelligence
Students and job seekers who want a genuinely sought-after skill on their CV
Requirements:
No programming experience required
No prior experience in artificial intelligence required
Access to any AI-based chat tool (ChatGPT, Claude, Gemini — free tiers work perfectly)
Who this course is for:
- Professionals in marketing, sales, HR, or finance who want faster, better results from AI tools
- Complete beginners using ChatGPT or Claude who want to stop guessing and get consistent output
- Freelancers and entrepreneurs who want to automate repetitive writing and research with AI
- Students and job seekers who want a genuinely in-demand, practical AI skill