Prompt Engineering
Get the best out of language models: system prompts, few-shot, chain-of-thought, structured outputs, and evaluation.
What Is Prompt Engineering?
Designing instructions that get reliable model behavior — a discipline, not a parlor trick.
Prompt Structure
The anatomy of a strong prompt: task, context, constraints and output format.
Roles & Context
System prompts, personas and context injection — set the stage for better outputs.
Few-Shot Examples
Teach by demonstration: a handful of examples beat paragraphs of description.
Chain-of-Thought Reasoning
Prompt the model to reason step by step — dramatically better on math and logic.
Structured Outputs
Force JSON, enums and schemas — reliable data out of free-form models.
Prompting for Code
Generate, review and debug code with prompts that describe behavior, not just syntax.
Prompting for Images
Text-to-image prompting: composition, style, lighting and negative prompts.
Prompting for RAG
Write retrieval-grounded prompts: cite sources, handle missing context, stay faithful.
System Prompts in Production
Design the system prompt as the contract of your product.
Advanced Prompting Techniques
Self-consistency, generated knowledge, tree-of-thought and ReAct-style scaffolding.
Prompt Injection Defense
Attacks that hijack instructions — and the layered defenses that stop them.
Evaluating Prompts
Turn prompt tweaks into measured improvements with a fixed eval set.
Prompt Versioning & Management
Store prompts as artifacts: version, tag and roll back like code.
Prompt Playgrounds & Tooling
The tooling ecosystem: playgrounds, prompt managers, and test runners.
Prompt Caching & Cost
Cache long system prompts and reuse embeddings to cut cost and latency.
Domain-Specific Prompting
Legal, medical, finance and education: prompts tuned to domain constraints.
Safety in Prompting
Write prompts that refuse harmful requests and stay within policy.
Optimizing Prompts for Cost
Shorter prompts, fewer tokens, right-sized models — quality per dollar.
Prompt Engineering in Production
Assemble everything: versioned prompts, evals, guardrails and monitoring.
Prompt Engineering Roadmap
Synthesize the course into a practice plan: build a prompt system, measure, refine.