Prompt Engineering: Build AI Apps with OpenAI (ChatGPT)

About this course

The API is where real applications are built. This course is how you get there.

This course is for developers who are ready to move from experimenting with AI to actually building with it. You'll work directly with OpenAI's modern Responses API — the one OpenAI recommends for all new projects — writing real code that connects to real tools and produces real results.

WHAT YOU'LL BUILD

You'll complete Three Capstone Projects, each one closing out a module after the concepts that make it possible have been taught.

Research Assistant — Decomposes complex questions into sub-questions, investigates each one independently, and synthesizes the findings into a structured answer. Built using instruction chaining, personas, and advanced few-shot techniques.

Production Support Bot — A fully functional support chatbot with budget controls, sliding window context management, and response caching. Built incrementally across two modules to show how production systems are actually assembled — not just demonstrated in a single notebook.

Multi-Tool Agent — Connects to a live weather API and queries a real SQLite database using function calling. This is AI that interacts with the outside world through Python functions.

WHAT YOU'LL LEARNAPI Fundamentals — Connect to the OpenAI API, configure your environment, and make your first calls using the Responses API. Understand model selection, token usage, and cost tracking from day one.

Core Prompting — Zero-shot, one-shot, and few-shot prompting. Understand exactly how the model responds to different prompt structures and why it matters.

Production Prompting — Structured JSON outputs for reliable parsing, error handling with exponential backoff, reusable prompt templates, and systematic prompt eva

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