Master OpenAI Codex, the coding agent that works in your terminal and in the cloud. Learn the CLI with its three approval modes, run parallel sandboxed tasks with Codex Cloud, extend capabilities with the skills system, and coordinate multiple agents across large projects. Powered by GPT-5.3-Codex.
OpenAI Codex is a coding agent built on GPT-5.3-Codex that works both in your terminal and in the cloud, letting you write, edit, debug, and test code with AI handling the heavy lifting. This free course walks you through every layer of the tool, from installing the CLI and choosing between its three approval modes (Suggest, Auto Edit, and Full Auto) to spinning up sandboxed cloud agents that run parallel tasks without touching your local machine. Whether you are a developer wanting to move faster, a student learning professional coding workflows, or someone applying AI to a technical project, the course meets you where you are.
The middle sections cover how Codex reads large codebases, runs tests, handles git workflows, and how you can extend its behavior through the skills system and custom team configurations. The cloud module then shows how to manage multiple agent threads simultaneously, which becomes essential when working on larger projects with many moving parts.
The course closes with a practical comparison of Codex against other AI coding tools like Claude Code and Cursor, so you can make informed decisions about which tool fits each situation. Finish every lesson and pass the final exam to earn a certificate of completion you can add to your LinkedIn profile or resume.
5 modules • 11 lessons
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The course covers the full Codex workflow from CLI setup through cloud-based parallel agents. You will learn the three approval modes, how to read and edit codebases, run tests, create custom skills, and coordinate multiple agents on large projects.
Yes, the entire course is free to take on FreeAcademy.ai. You can also earn a certificate of completion by finishing all lessons and passing the final exam, which you can use on your resume or LinkedIn.
The course is labeled intermediate, so you should be comfortable with basic programming concepts and the command line. You do not need prior experience with AI coding agents, but familiarity with git and running code in a terminal will help you get the most out of it.
The course focuses specifically on OpenAI Codex powered by GPT-5.3-Codex. Topics include the CLI approval modes, cloud sandboxes and parallel agent threads, the Codex skills system, and a direct comparison with Claude Code and Cursor so you know when to reach for each tool.
The final module addresses this directly, comparing Codex, Claude Code, and Cursor across different use cases. Codex stands out for its cloud sandbox model that runs parallel tasks without a local environment, while the others have different strengths for in-editor or terminal-first workflows.
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