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Prompt Engineering
Prompt Engineering
Master the art of communicating with AI — from basic prompts to advanced techniques like chain-of-thought, few-shot learning, and system prompt design.
Course Sections
1
15 min Prompt Basics
What makes a good prompt? Clarity, context, constraints, and the role of instructions.
Anatomy of a promptContext settingExplicit constraintsOutput format specificationIterative refinement
2
20 min Advanced Techniques
Zero-shot, few-shot, chain-of-thought, and role prompting — when to use which.
Zero-shot promptingFew-shot examplesChain-of-thought reasoningRole promptingTree of thoughtSelf-consistency
3
15 min System Prompt Design
Design system prompts that define AI behavior, personality, and boundaries.
System vs user promptRole definitionBehavioral rulesAGENTS.md approachGuardrails and safetyPrompt Flux for management
4
15 min Pitfalls & Best Practices
Avoid hallucinations, handle prompt injection, and write robust prompts.
Hallucination detectionPrompt injection defenseAmbiguity reductionTemperature and creativityToken limits awarenessTesting prompts
5
15 min Reusable Templates
Build a library of prompt templates for code review, documentation, analysis, and more.
Template structureVariable placeholdersCode review templateDocumentation templateData analysis templateEmail drafting template
What You'll Learn
- ✓ Write effective prompts that produce consistent, high-quality results
- ✓ Understand and apply zero-shot, few-shot, and chain-of-thought techniques
- ✓ Design system prompts for specific roles and behaviors
- ✓ Avoid common pitfalls: hallucinations, prompt injection, ambiguity
- ✓ Use structured output formats (JSON, Markdown, tables)
- ✓ Build reusable prompt templates for recurring tasks
Prerequisites
- • Basic understanding of AI (or complete "AI Fundamentals" first)
Course Info
Level beginner
Duration 1-2 hours
Sections 5
Languages EN + DE
Category Foundations
🇩🇪 Dieser Kurs ist auch auf Deutsch verfügbar: Prompt Engineering