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Since May 2026
Instructor since May 2026
AI Prompt Engineering: Unleash Hidden Capabilities & Deep Knowledge
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From 41.99 £ /h
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arge Language Models (LLMs) possess vast networks of deep knowledge, but the standard, one-sentence queries most people use only scrape the surface. To unlock highly sophisticated, nuanced, and truly expert AI responses, you need to understand how to design advanced system structures, meta-prompts, and intentional constraints.

I have designed this practical, hands-on course as a guide to moving past the basic "chat" interface. You will learn how to bypass generic AI text generation and instead program the AI's persona, reasoning patterns, and processing steps behind the scenes to reveal hidden analytical depth.

What you will master in this course:

The Persona Stack: How to align layered identity attributes (experience, skepticism, communication styles) to completely alter the depth of the AI's knowledge base.

Meta-Prompting Frameworks: Teach the AI how to think about a complex category of problems step-by-step before it even attempts to write an answer.

The Expert Interrogation: Advanced structural frameworks where you guide an AI model to interview itself, critique its own reasoning, and expose its own blind spots.

System Instructions & Guardrails: Master the use of explicit parameters ("Must Include" vs. "Must Avoid") to eliminate conversational filler and enforce precise analytical frameworks.

By the end of this class, you will stop treating AI like a simple search engine and start engineering structural prompts that command the full depth of its technical capability.
Extra information
Please bring a laptop with internet access. Ensure you already have an account setup with a modern AI assistant (such as Google Gemini, OpenAI ChatGPT, or Claude) so we can jump straight into testing active prompt frameworks.
Location
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Online from Hungary
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
30 minutes
45 minutes
The class is taught in
English
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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