OpenAI · on OpenAI Academy
Covers coordinating Codex across complex engineering changes: splitting work into verifiable workstreams, writing verification contracts that define the evidence each must produce, and bringing parallel outputs back together safely. For experienced developers, platform engineers and tech leads running Codex on large repositories with governance requirements.
Aspiring builders, career switchers and working developers. This is an advanced course in Coding with AI, running about ~100 minutes (lessons plus guided lab).
Free. Free; requires a ChatGPT account and experience with team Codex workflows. An Accredible badge is issued after the course plus an assessment score of at least 80%. Price seen 2026-11-01.
JetBrains' Paul Everitt shows how to evaluate an AI coding setup (the agent, the model, where it runs and how work is split) and rebuilds the same Python app in cloud, hybrid and fully local workflows. For developers weighing cost, privacy and capability trade-offs between hosted and local coding agents.
A free community course on building and shipping software with AI coding agents: spec-driven workflows with AGENTS.md, an AI-assisted full-stack app, testing and containerized deployment, observability, and agent building blocks like SKILL.md skills, subagents and parallel Git worktrees. It suits working developers who want an engineering-grade, project-based alternative to vibe-coding tutorials, with an optional cohort for accountability.
Moves from vibe coding to disciplined agentic coding with Claude Code, covering specs, test-driven development and context engineering, and ends with building a Tic-Tac-Toe game in Node.js. For beginners who learn best with interactive lessons and want a certificate; Codecademy suggests its Learn Prompt Engineering course first.