Learn AI the non-technical way.
Build expert-level prompting skills by learning how to influence model behavior, apply structured techniques, and use proven frameworks effectively.

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Does any of this sound familiar?
Most people use AI every day. Very few actually get good results from it.
You get vague, generic responses and spend more time rewriting than using the output.
Words like “temperature” and “chain of thought” make it feel like you need a computer science degree.
Surface-level tricks work once, then stop. You have no system, no framework, no repeatable approach.
You see others getting incredible results and wonder what they know that you do not.
This course is made for you if…
You use AI tools like ChatGPT regularly but rarely get the results you actually want
You are a marketer, founder, or creator who wants to use AI faster and smarter
You have zero technical background and want it to stay that way
You want a structured skill, not just a collection of one-off tips
You want to write better prompts for writing, research, analysis, or automation
You are ready to stop guessing and start prompting with intention
What you will learn
Six focused lessons. No fluff. No code. Just real, usable prompting skills.
What’s really happening inside an AI when you type a prompt?
Learn how AI models like ChatGPT choose their words. Understand how they decide what to say next, why some answers sound more creative or accurate, and how settings like temperature, top-k, and top-p affect the results.
See the difference between system and user prompts, and how the information you include can shape the AI’s response.
Prompt Anatomy & Fundamentals
Learn how to structure your instructions, add helpful context, and guide the kind of output you want. This foundation helps you write clearer prompts and get better results from the model.
You’ll also see how small changes in wording or structure can help the AI give better, more useful answers.
Using frameworks to structure your prompts
Learn how to use proven frameworks that make prompt writing easier and more reliable. These give you a step-by-step way to design prompts for different tasks — whether you’re solving problems, asking for creative ideas, or guiding the AI through multi-step instructions.
You’ll explore models like RESEE, RACE, and others, and understand how they help you get more consistent and useful results.
Prompting techniques that help the AI follow better
Learn practical methods that make prompts more effective. Explore zero-shot prompting, few-shot prompting, and chain of thought prompting — which helps the AI break problems into steps.
Discover advanced methods like prompt chaining, self-consistency, and least-to-most prompting. These give you more control and help the model respond with better reasoning and fewer errors.
How to think like a prompt engineer?
Learn how to approach prompting with a problem-solving mindset. Instead of trying random instructions, you’ll understand how to plan, structure, and improve your prompts based on what you want the AI to do. This helps you spot what’s missing, adjust your approach, and use prompting as a skill — not guesswork.
How to build your own prompt frameworks
Go beyond ready-made structures and learn how to create your own. You’ll understand how to break down tasks, spot patterns in good prompts, and design frameworks that fit your specific needs — giving you the freedom to build prompts that work better for your style, your tools, and the problems you’re solving.
What early readers are saying
Feedback from Feedough newsletter readers who went through an early version of the course.
“I had been using ChatGPT for over a year and felt like I was barely scratching the surface. After the framework lessons, I actually understand why my prompts were not working. The RESEE structure alone changed how I write prompts now.”
“I was skeptical at first. I had seen so many prompt hacks videos before. This is different. It explains the reasoning behind everything, not just the tricks. The chain-of-thought section clicked immediately. Practical and clear.”
“Non-technical is the right word. I have no coding background and was always a bit intimidated by AI. This course made me feel like I finally belong in the conversation. The videos are short, the explanations are clear, and I finished it in a weekend.”

Aashish Pahwa
Aashish is the founder and chief editor of Feedough, one of the top 13 startup and AI resource websites in the world. He has spent 8+ years breaking down complex business and technology concepts into plain language that anyone can act on.
His work has been cited by Harvard Business School and the University of Washington. He runs a free AI newsletter read by 52,000+ subscribers and has built a community of over 124K followers on Instagram.
- Founder, Feedough
- 52K+ Newsletter Readers
- 124K Instagram Followers
- Cited by Harvard Business School
- 8+ Years in AI and Startups
Ready to actually get good at prompting?
Frequently Asked Questions
Yes, it is built specifically for non-technical learners. You will start with how prompts work and how models respond, then move into structured techniques and frameworks. No coding or AI background needed.
Most tutorials focus on surface-level tips or one-off tricks. This course goes deeper into how prompting actually works. You will learn to think like a prompt engineer, apply frameworks like RESEE and RACE, and build your own prompt structures that fit your workflow. It is designed for skill-building, not just inspiration.
You will work with zero-shot, few-shot, and chain-of-thought prompting, plus advanced methods like self-consistency and least-to-most prompting. Each technique comes with practical examples, not just theory.
Definitely. The course is built around real applications including content creation, task automation, research, and team workflows. Many people use it to speed up writing, structure research, or improve how their team uses AI tools.
No. Everything in the course can be practised using free or low-cost access to tools like ChatGPT. Where advanced tools are mentioned, free alternatives are suggested. The goal is to help you learn the skill, not depend on a specific platform