🧠Advanced Prompting
Master the techniques that separate beginners from experts.
What you'll learn
- Understand how LLMs work (the useful parts)
- Get consistent structured outputs
- Master chain-of-thought and few-shot techniques
- Systematically fix bad AI responses
Who this is for
Anyone who uses AI regularly and wants to get the most out of their prompts.
Prerequisites
Syllabus
How LLMs Actually Work
Understand tokens, context windows, and temperature — the practical knowledge that improves your prompts.
Structured Outputs
Learn to get exactly the format you need from AI — JSON, tables, consistent templates.
Chain-of-Thought: Step by Step
Compare direct requests with decomposition into checkable steps and learn when it helps and when it does not.
Few-Shot Prompting: Teaching by Example
Test examples for classification, format and style. Compare results with clear requests without examples.
System Prompts
Learn to write effective system instructions — roles, constraints, and formats that consistently guide AI behavior.
Debugging Your Prompts
A systematic approach to fixing bad AI output — find the problem, understand why, and fix it.
Multi-Step Workflows
Learn to break complex tasks into prompt chains — one step's output becomes the next step's input.
Context Management
What to include, what to cut, and how to give AI exactly enough information — no more, no less.
We also offer live workshops and custom training for teams.
Learn more about team training