Prompt Engineering: ChatGPT, Claude & Gemini (2026)

About this course

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 us

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