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Codex & Agentic Engineering Next-Level AI Development
Published 9/2026
Created by Devops Learning, Devops Lernen
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 42 Lectures ( 2h 59m ) | Size: 1.3 GB
Masterclass Hands-On Course: OpenAI Codex, Agentic AI, AI Agents, Automation
What you'll learn
Understanding and practically applying next-level development with AI (Agentic Engineering) Mastering OpenAI Codex: from beginner to pro Building your own lab environment: installing the Codex CLI and signing in with a ChatGPT account Creating complete agent teams and using them for efficient development Using subagents: splitting complex tasks and having them solved in parallel Context Engineering: optimizing token consumption and defining persistent project instructions Using Plan Mode, slash commands, and custom skills efficiently Mastering permissions and the sandbox: letting Codex work safely and under control Automating recurring tasks with codex exec, hooks, and cron Understanding the Model Context Protocol (MCP) and connecting external tools and databases to Codex Working on several features of the same project at once with Git Worktrees IT automation in practice: Ansible playbooks, systemd services, containers, and log analysisRequirements
NO experience with OpenAI Codex is required. Basic knowledge of programming or scripting is helpful. An active ChatGPT subscription (Plus, Pro, or Business) or an OpenAI API key is required to test the content yourself.Description*This course contains the use of artificial intelligence.
Welcome to "Codex & Agentic Engineering: Next-Level AI Development"!
Are you asoftware developer, DevOps engineer, or sysadmin looking to useAgentic Engineering andOpenAI Codex - withadvanced features compared to traditional chatbots? Then this course is exactly right for you!
In this course, we gofar beyond classic prompting. Instead of having to manually point out every error to the AI and improve it iteratively, you will learn how Agentic Engineering enables the AI toindependently validate and self-correct its generated results.
We show you how to use AI agents and OpenAI Codex forcoding, automation, and scripting to take your workflow to the next level. For example, with AI support, it is directly possible todefine a complete team of agents that autonomously complete tasks together - including their own checks to see if the results actually fit. Under your control, Codex solves complex programming tasks via subagents, connects external tools and databases via MCP, and workson multiple features in the same project simultaneously using Git Worktrees.
A dedicated focus lies onstaying in control of the tool: you will get to know the permission modes and the sandbox of Codex, set up your own rules through hooks, and have your changes checked withcodex review before they reach your project.
We demonstrate all of this content withinlive demos - and not just through boring presentations. You will learn how toefficiently generate code AI-assisted, keep documentation automatically up to date, have diagrams drawn for you, and automate recurring tasks on a schedule.
Our agenda covers topics such as
Understanding and practically applying next-level development with AI (Agentic Engineering) Mastering OpenAI Codex: from beginner to pro Building your own lab environment: installing the Codex CLI and signing in with a ChatGPT account Creating complete agent teams and using them for efficient development Using subagents: splitting complex tasks and having them solved in parallel Context Engineering: optimizing token consumption and defining persistent project instructions Using Plan Mode, slash commands, and custom skills efficiently Mastering permissions and the sandbox: letting Codex work safely and under control Automating recurring tasks with codex exec, hooks, and cron Understanding the Model Context Protocol (MCP) and connecting external tools and databases to Codex Working on several features of the same project at once with Git Worktrees IT automation in practice: Ansible playbooks, systemd services, containers, and log analysisWith this course, you will gain directly applicable knowledge that can accelerate and improve your workflows. You will learn how tohave a complete agent team handle and validate tasks for you. And all within just a few hours.
So, take this opportunity and enroll now to putOpenAI Codex and your own agent team to work for you!
Who this course is for
Software developers who want to take their AI-powered workflow to the next level. System administrators and DevOps engineers who want to use AI tools efficiently for scripting and system administration.Homepage
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