About the Instructor
OpenAI
Official OpenAI documentation and best practices. Written by OpenAI researchers and engineers who build GPT models. Updated with latest API features and production patterns.
First Principles
LLMs are statistical models—they generate likely continuations of text. Prompting is the interface to these models. Better prompts = better outputs. Prompt engineering is the art of communicating your problem to the model.
AI Ecosystem Fit
Layer 5 (Applications) — The fastest path from idea to deployed agent. You don't need to train your own model; you call an API and guide it with prompts. This is production-scale AI for SMBs.
Prerequisites
What Paid Projects This Unlocks
LLM agents: AI-powered chatbots, code generation systems, content creation agents. Integrate GPT into production applications.
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)
Learn DAIR.AI prompt patterns for advanced reasoning
Build agents with LangChain or n8n
Implement RAG for context-aware responses
Why This Matters
90% of AI gigs in 2026 are wrapping LLM APIs, not training new models. Prompt engineering + LangChain is your fastest route to revenue.