OpenAI Codex training in Munich

Delegate development work with OpenAI Codex: CLI and cloud agent, AGENTS.md, sandboxing, approvals and team PR workflows.

All 32 OpenAI Codex courses are also available in Munich – in a centrally located training room or at your premises on request.

OpenAI Codex is a coding agent that runs both locally, as a command-line tool and IDE extension, and as a cloud agent. Locally, Codex reads your repository, proposes changes and runs commands inside a sandboxed environment. In the cloud, it works on delegated tasks in parallel inside isolated containers and returns results as traceable diffs or pull requests. Over two days you will learn how to combine both modes effectively and how to scope tasks so that the agent can complete them reliably and with minimal back-and-forth.

Munich is one of Europe’s leading technology and insurance hubs. Our training room is centrally located and only a few minutes from the main station by S-Bahn or U-Bahn – ideal for teams from industry, financial services, media and the city’s vibrant start-up scene.

Suggested dates – Munich

All dates are suggestions – your preferred date is always possible.

Thu, 26 November 2026 – Fri, 27 November 2026 Munich Request
Thu, 10 December 2026 – Fri, 11 December 2026 Munich Request
Tue, 12 January 2027 – Wed, 13 January 2027 Munich Request
Wed, 20 January 2027 – Thu, 21 January 2027 Munich Request
Mon, 1 February 2027 – Tue, 2 February 2027 Munich Request
Mon, 15 February 2027 – Tue, 16 February 2027 Munich Request

Core content of every OpenAI Codex course

Module 1 Codex at a glance: CLI, IDE and cloud

Comparing how Codex works locally and in the cloud
Installing the Codex CLI, signing in and starting it in a repository
Interactive sessions, non-interactive execution and model choice
Distinguishing tasks that suit a coding agent from those that do not

Module 2 Project knowledge with AGENTS.md

Building an AGENTS.md with build, test and lint commands
Stating conventions, architectural notes and prohibitions precisely
Using nested AGENTS.md files for monorepos and sub-projects
Checking effectiveness and refining instructions iteratively

Module 3 Sandboxing, approvals and security

Choosing approval modes deliberately, from read-only to largely autonomous
Understanding sandbox boundaries for file system and network access
Handling secrets, dependencies from the internet and prompt injection
Configuration files for team standards and safe defaults

Module 4 Delegating tasks to the cloud agent

Configuring cloud environments with setup scripts and dependencies
Writing tasks with a clear goal, context and acceptance criteria
Launching several tasks in parallel and comparing the results
Using logs and test output to understand the proposed solutions

Module 5 PR workflows and code review in the team

Turning results into pull requests and requesting follow-up changes
Using automated Codex code review on GitHub
Embedding Codex in scripts and CI pipelines
Setting team rules for delegation, review duties and accountability

OpenAI Codex courses in Munich

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Request without obligation

We will get back to you within one working day with a confirmation or an alternative suggestion.

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Total €949 plus VAT

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