
*This course contains the use of artificial intelligence.
Welcome to "Next-Level Windows System Administration with Claude Code"!
Do you want to take your AI skills to the next level using Claude Code and Agentic Engineering, and efficiently automate IT tasks? Then this course is exactly right for you!
In doing so, we go far 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 to independently validate and autonomously correct its generated results.
We will show you how to use AI agents and Claude Code for Windows system administration, automation, and infrastructure management to take your workflow to the next level. For example, with AI support, it is directly possible to define a complete team of agents that autonomously completes tasks together – including its own verification of whether the results were implemented 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 through live demos – and not just through boring presentations. You will learn how to master Infrastructure as Code and Configuration Management with Ansible and Terraform – including testing in your own Proxmox VE-based lab environment.
Our agenda includes topics such as:
Next-Level Windows System Administration with AI: Understanding and Practically Using Agentic Engineering
Creating AI-Powered IT Automations
Automating IT Tasks Using Terraform, Ansible, and Packer
Automated Windows Installation, Creation of Templates, and Provisioning of Virtual Machines (VMs)
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 to have a complete agent team complete and validate tasks for you. And all this in just a few hours.
So, take this opportunity and enroll now to take your skills in AI and IT automation to the next level!