Prompt Engineering Mastery: Get AI to Do Exactly What You Want
Learn the art and science of writing prompts that unlock the full power of AI tools like ChatGPT, Claude, and Gemini — so you get brilliant, reliable results every single time.
Perfect for: Marketers, writers, developers, entrepreneurs, analysts, and knowledge workers who use AI tools daily (or want to) and are frustrated with inconsistent, mediocre outputs.
Most people use AI like a search engine — typing vague questions and hoping for the best. The result? Generic, off-target outputs that need heavy editing or get thrown away entirely. Prompt engineering is the skill that separates casual AI users from people who genuinely 10x their productivity.
In this course, you'll learn a systematic, repeatable framework for writing prompts that produce exactly what you need — whether that's flawless marketing copy, complex data analysis, production-ready code, detailed research summaries, or creative content that sounds like you. No computer science degree required. If you can type a sentence, you can become a prompt engineer.
We go far beyond "be specific and give context." You'll master advanced techniques like chain-of-thought prompting, persona injection, few-shot examples, role-based system instructions, and multi-step prompt chaining — the same methods used by AI researchers and top-tier developers. Each technique is taught through real-world tasks you can apply immediately at work or in your business.
By the end of this school, you'll have a personal prompt library, a repeatable debugging process for when AI goes off the rails, and the confidence to tackle any AI model — today's and tomorrow's. This is a career-defining skill, and the window to get ahead of the curve is right now.
What you'll be able to do
- Write clear, structured prompts that consistently produce high-quality, on-target AI outputs
- Apply advanced techniques — chain-of-thought, few-shot, role prompting, and prompt chaining — to complex real-world tasks
- Build and maintain a personal prompt library that saves hours of work every week
- Debug and systematically improve prompts that aren't working using a structured iteration framework
- Craft system-level instructions and personas that make AI behave like a specialized expert
- Automate multi-step workflows by chaining prompts together across tasks
- Adapt prompting strategies across different AI models (ChatGPT, Claude, Gemini, open-source LLMs)
- Evaluate AI output quality critically and know when to trust, edit, or discard a response
Curriculum
6 modules · 18 lessons
Your teacher
Zlatko
Hey, I'm so glad you're here. I've spent the last two years obsessively studying how large language models respond to language — running thousands of experiments, breaking prompts apart to see why they fail, and rebuilding them into something that actually works. What started as a personal productivity obsession turned into a methodology I now use every day in my work, and teach to teams and individuals who want real results from AI — not just party tricks. I built this course because I was frustrated by how much bad advice exists online about prompting. I wanted to create something systematic, honest, and immediately practical. Everything in here is tested, refined, and ready for you to use from day one.
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