Generative AI & LLMs for Builders
Our flagship, hands-on bootcamp for building with Generative AI. Understand how LLMs work, master prompt engineering, build chatbots and copilots on the Claude & GPT APIs, ship RAG pipelines and AI agents, and deploy a production GenAI app as your capstone. Certification on completion.
Generative AI
Artificial Intelligence
Advanced
Prompt Engineering
- 8 lessons
- Updated 09/05/2026
Prompting techniques that work
Prompting is a real skill
The same model gives wildly different results depending on how you ask. These patterns reliably improve quality:
- System prompts โ set role, tone, and rules up front.
- Be specific โ spell out format, audience, and constraints.
- Few-shot โ show 2โ3 examples of the output you want.
- Chain-of-thought โ ask the model to reason step by step for hard tasks.
- Structured output โ request JSON so your code can parse it.
System: You are a precise assistant. Reply ONLY as JSON.
User: Extract {name, email, intent} from: "Hi, I'm Sara (sara@x.com), I want a demo."
Takeaway: treat prompts like product specs โ clear, testable, and versioned.
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