Overview
Most people use AI chatbots the same way they use a search engine — typing a quick phrase and hoping for the best. This course teaches a different approach. Prompt engineering is the practical skill of telling an AI assistant clearly what you need, so you get a useful, ready-to-use answer instead of a vague or generic one. It’s not about memorizing tricks; it’s about understanding a handful of principles that work across ChatGPT, Claude, Gemini, and any other AI tool you pick up next.
What You Will Learn
- ✓Why an AI assistant works differently from a traditional search engine
- ✓The four building blocks of a strong prompt: task, context, format, and constraints
- ✓When to use zero-shot prompting versus showing the AI examples (few-shot prompting)
- ✓How chain-of-thought prompting improves accuracy on multi-step problems
- ✓How to write prompts for editing your own writing and for getting working code
- ✓The most common prompting mistakes and how to avoid them
Who This Course Is For
🌱
Beginners
Who want better results from AI chatbots
💼
Professionals
Who use AI tools for writing, research, or coding
🎓
Students
Building a practical, transferable AI skill
What You Will Complete
By the end of the course, you’ll have practiced rewriting real prompts across four modules, worked through short hands-on exercises after each lesson, and completed a five-question self-check quiz to confirm what you’ve learned.
Curriculum
- 4 Sections
- 8 Lessons
- Lifetime
- What Is Prompt Engineering?Learners start by seeing why an AI assistant behaves differently from a search engine, then learn the four building blocks that make any prompt stronger.2
- Core TechniquesLearners pick up two techniques for shaping how the AI approaches a request — using examples to set a pattern, and asking the AI to reason step by step.2
- Practical ApplicationsLearners apply prompting skills to two everyday tasks — cleaning up their own writing and getting working code from an AI assistant.2
- Common Mistakes & RecapThe course closes with the habits behind most disappointing AI answers, followed by a short quiz to confirm what learners have picked up.3
