本课程教你利用 Anthropic 的 Claude Code 将 AI 智能体融入 Linux 运维与 DevOps，实现自主思考、执行、验证和纠错的闭环。结合 Packer、Terraform、Ansible 等工具，在 Proxmox VE 上完成全栈无人值守工作流，助你从传统运维跨越到 AIOps。
原始标题：Next-Level Linux System Administration with Claude Code
这门课程核心聚焦于将 AI 智能体（Agentic Engineering）深度融入 Linux 运维与 DevOps 流程。它摆脱了传统的“你问我答”式被动 AI 提示词（Prompting），转而教授如何利用 Anthropic 的命令行工具 Claude Code 构建具备“自主思考、执行、验证和纠错”闭环能力的 AI 运维团队；学员将学到如何让 AI 独立操作并协同 Packer、Cloud-Init、Terraform 和 Ansible，在 Proxmox VE 虚拟化平台上实现从基础镜像打包、虚拟机/容器（LXC）一键编排、系统初始化到自动化配置管理的全栈无人值守工作流，非常适合希望从传统运维跨越到 AI 驱动型自动化运维（AIOps）的 IT 从业者。
Published 7/2026
Created by Devops Learning, Devops Lernen
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 44 Lectures ( 2h 53m ) | Size: 1.4 GB
AI-Powered IT Task Automation: Linux Administration, Proxmox VE, Ansible, Terraform, Packer & Bash
What you’ll learn
⚡ Next-Level Linux System Administration with AI: Understanding and Practically Using Agentic Engineering
⚡ Creating AI-Powered IT Automations
⚡ Automating IT Tasks Using Terraform, Ansible, and Packer
⚡ Automated Linux Installation with Cloud-Init, Creation of Templates, and Provisioning of VMs and LXC Containers
⚡ Understanding Infrastructure as Code and Configuration Management and Applying Them in a Targeted Way
⚡ Building Your Own Lab Environment Based on Claude Code and Proxmox VE
⚡ Mastering Claude Code: From Beginner to Professional
⚡ Building Complete Agent Teams and Using Them for Efficient Administration and Automation
⚡ Using Plan Mode, Slash Commands, Voice Mode, and Custom Skills Efficiently
⚡ Implementing a Demo Project: Creating and Analyzing AI-Driven Automations (Terraform, Ansible, Packer)
Requirements
❗ NO experience with Claude Code is required.
❗ Basic knowledge of system administration is helpful.
❗ An active Claude subscription is required to test the content yourself.
Description
*This course contains the use of artificial intelligence.Welcome to “Next-Level Linux System Administration with Claude Code”!
Do you want totake your AI skillsto the next level usingClaude Code andAgentic Engineering, and efficientlyautomate IT tasks? Then this course is exactly right for you!
In doing so, we gofar beyond classic prompting. Instead of having to manually point out every error to the AI and iteratively make improvements, you will learn in this course how Agentic Engineering enables the AI toindependently validate and autonomously correct its generated results.
We will show you how to use AI agents and Claude Code forLinux system administration, automation, and infrastructure management 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 completes tasks together – including its own verification of whether the results wereimplemented as desired. Under your control, AI-supported IT automations can be created efficiently, e.g., using Terraform and Ansible.
We demonstrate all of this content to you throughlive demos – and not just through boring presentations. You will learn how to masterInfrastructure as Code andConfiguration Management with Ansible and Terraform – including testing in your own Proxmox VE-based lab environment.
Our agenda includes topics such as
✨ Next-Level Linux System Administration with AI: Understanding and Practically Using Agentic Engineering
✨ Creating AI-Powered IT Automations
✨ Automating IT Tasks Using Terraform, Ansible, and Packer
✨ Automated Linux Installation with Cloud-Init, Creation of Templates, and Provisioning of VMs and LXC Containers
✨ Understanding Infrastructure as Code and Configuration Management and Applying Them in a Targeted Way
✨ Building Your Own Lab Environment Based on Claude Code and Proxmox VE
✨ Mastering Claude Code: From Beginner to Professional
✨ Building Complete Agent Teams and Using Them for Efficient Administration and Automation
✨ Context Engineering: Optimizing Token Usage and Results, Defining Persistent Project Instructions
✨ Using Plan Mode, Slash Commands, Voice Mode, and Custom Skills Efficiently
✨ Implementing a Demo Project: Creating and Analyzing AI-Driven Automations (Terraform, Ansible, Packer)
With this course, you will gain directly applicable knowledge that can accelerate and improve your workflows. You will learn how tohave a complete agent team complete and validate tasks for you. And all this in just a few hours.
So, take this opportunity and enroll nowto take your skills in AI and IT automation to the next level!
Who this course is for
System administrators and DevOps engineers who want to use AI tools efficiently for automation and system administration.
System administrators and DevOps engineers who want to take their AI-powered workflow to the next level.
此处内容需要权限查看
会员免费查看
