About the Instructor
Elvis Saravia & Contributors
Elvis: DAIR.AI founder, ML researcher. Community-driven resource with 60K+ GitHub stars. Updated continuously with latest prompt techniques and LLM patterns.
First Principles
Prompting is systematic reasoning transfer. Chain-of-thought makes models show their work. Few-shot learning teaches by example.
AI Ecosystem Fit
Layer 5 (Applications) — Practical playbook for maximizing agent quality. CoT, zero-shot reasoning, and retrieval-augmented prompts are the three pillars of production agentic systems.
Prerequisites
What Paid Projects This Unlocks
Optimize agent reasoning: master CoT prompting, zero-shot agents, retrieval-augmented prompts. Build smarter, faster agents.
3 Client Projects You Can Get Paid For
Real businesses have this problem right now. Build it, pitch it, charge for it.
Stack This With → (Unlocks Higher-Paying Projects)
Apply to ReAct agent architecture
Optimize prompts for cost/quality tradeoffs
Build production agents with LangChain
Why This Matters
A 10% improvement in prompt quality can cut your API costs by 30% and improve reliability by 50%. This directly impacts project margins.