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COURSE · OPENAI CODEX

OpenAI Codex CLI Course & Training

An OpenAI Codex course is training for developers and DevOps teams who want to put Codex to work as a coding agent, through the Codex CLI, IDE integrations and CI. Codex passed 5 million weekly active users by June 2026, and this course covers using it safely on real workflows. I teach it privately or for corporate teams.

Updated 19 August 2026

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What you’ll learn

  • Codex CLI fundamentals

    Install, configure and run Codex for individual and team use, driving file edits with natural-language tasks.

  • Approval modes & autonomy

    Use approval modes to control how much the agent does on its own, so autonomy stays safe.

  • Git, CI & MCP integration

    Wire Codex into Git workflows, CI pipelines and MCP servers so it fits your existing stack.

  • Codex, Claude Code and Cursor

    Where Codex fits next to the other tools, and how to pick one per task instead of by habit.

What the course covers, module by module

  1. 01

    Codex CLI fundamentals

    Install, configure and drive file edits with natural-language tasks, on your own repository from the first hour.

  2. 02

    Approval modes and autonomy

    How much the agent does on its own, and how to tighten or loosen that per task rather than per team.

  3. 03

    Git discipline with an agent

    Branches, commits and reviews with an agent in the loop, so history stays readable and revertable.

  4. 04

    CI and automation

    Where Codex fits in pipelines and scheduled work, and where it should not run unattended.

  5. 05

    MCP and your stack

    Connecting internal tools and data, so the agent acts inside your systems rather than beside them.

  6. 06

    Choosing between agents

    Codex, Claude Code and Cursor run against the same tasks, so the team picks per job instead of by habit.

How it runs

  • Private 1:1

    PACED TO YOU

    A developer or DevOps engineer getting deep on the OpenAI stack.

  • Team workshop

    HALF OR FULL DAY

    A squad putting Codex to work on its own repositories and pipelines.

  • Multi-session programme

    WEEKLY SESSIONS

    Teams wiring Codex into CI and MCP properly, not just trying it.

What you keep

  • A working Codex setup on your own repositories
  • An approval-mode policy the team actually agreed to
  • A CI integration plan with the unattended cases named
  • An evidence-based read on Codex against the alternatives for your stack

Who it’s for

For engineers and DevOps teams adopting agentic coding.

FREQUENTLY ASKED

OpenAI Codex for Teams: common questions

  • What is OpenAI Codex?

    Codex is OpenAI’s AI coding agent for software-engineering tasks like writing code and fixing bugs. It is available through the Codex CLI, a desktop app and IDE integrations, and grew past 5 million weekly active users by June 2026.

  • Can a new team still buy Codex on ChatGPT Business?

    Check before you plan around it. From 24 June 2026 OpenAI stopped offering Codex seats to new ChatGPT Business workspaces, and to Business workspaces that had never added one. Existing workspaces with Codex seats keep them. If your company has no existing entitlement, this procurement constraint can decide the tooling question before any capability comparison does.

  • Is this live training?

    Yes. Hands-on, task-based sessions on your real workflows, private or corporate, remote or on-site in India.

  • Should we standardise on Codex or another agent?

    It depends on your stack and how your team works. The course covers Codex, Claude Code and Cursor side by side so you can decide on evidence rather than hype.

WHERE THIS LEADS

What teams usually look at next

Where adoption and engineering meet

THE ROLLOUT AROUND IT

Training is the start, not the whole job

A team that learns the tools still needs standards, a prompt library, agreed workflows and a plan for the rest of the company. That is the AI Engineering Operating System engagement: assessment, workflow redesign and a 90-day rollout rather than a set of sessions.

See the rollout engagement
“I now use AI regularly for coding, debugging, understanding requirements, and exploring different implementation approaches.”
Shraddha Rathod, Senior Software Engineer · Veloxcore

Want this for yourself or your team?

A free 30-minute discovery call is the fastest way to scope the right program. Private 1:1 or corporate, remote across India and globally, on-site in Ahmedabad.

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