Mastering Agents with OpenAI Agents SDK & OpenAI Codex

About this course

Master the OpenAI Agents SDK and build production-ready AI agents from the ground up, then build every one of them hands-on with OpenAI Codex as your AI pair programmer. This comprehensive course takes you from your very first agent to deploying realtime, voice, and sandboxed multi-agent systems that integrate with real tools and external services.

Whether you're a Python developer stepping into agentic AI, or an experienced engineer who wants to ship reliable agents to production, this course gives you everything you need: the core SDK primitives, the patterns that make agents safe and observable, and a Codex-driven workflow that lets you build faster than ever.

What makes this course different: you don't just watch, you build. Every lab is constructed with OpenAI Codex, so you learn both the OpenAI Agents SDK and how to drive an AI coding agent to scaffold, implement, test, and ship real applications.

What You'll Learn includes OpenAI Codex, Core SDK & Agent Design:

• Foundations – Understand what agents are, the agent loop, and how the OpenAI Agents SDK fits together
• Threads and Approval Modes – Understand the anatomy of a Codex thread and control permissions safely
• Multitasking and Worktrees – Run Codex across multiple projects and parallel git worktrees

GitHub and Cloud Environments – Repositories, GitHub CLI, and running Codex in the cloudAGENTS md, Skills, and Memory – Teach Codex your conventions so it builds the way you want

Plan Mode and Goal Mode – Move from one-shot prompts to planned, goal-driven builds

Scheduled Jobs, Heartbeats, and Plugins – Automate recurring work and extend CodexVoice, Dictation, and Remote Control – Drive Codex hands-free, and from your

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