In this course, you’ll learn how to use OpenAI Codex to speed up development, improve code quality, and automate real engineering workflows. You’ll start with a clear introduction to what Codex is and how it fits into a modern developer toolkit, before setting up Codex Cloud and reviewing changes locally.

You'll then explore how to run analysis tasks in Codex Cloud, perform AI-assisted code reviews, and work efficiently with the Codex CLI and its built-in commands. You’ll also learn how to use the Codex IDE extension directly in your editor. After covering the basics, you'll move on to more advanced concepts such as context management, reasoning levels, tokens, and TODO handling, which will help you to get more predictable, higher-quality results from Codex. You’ll finish by setting up MCP servers to connect Codex to external tools and services, giving you a solid foundation for building more powerful, automated workflows. By the end of the course, you’ll know how to integrate Codex into your daily development process and use it effectively across local, cloud, CLI, and IDE environments.