CF

Claude Code for DevOps

2h 30m 21s
English
Paid

Claude Code for DevOps is a 20-lesson 2 hours 30 minutes self-paced course by Zero To Mastery. This practical course demonstrates how to integrate Claude Code into real DevOps processes: from secure deployment on a Linux VPS to automating workflows and creating a functioning portfolio project.

Course facts

Lessons
20
Duration
2 hours 30 minutes
Level
All levels
Language
English
Updated
Instructor
Zero To Mastery
Price
Premium

This practical course demonstrates how to integrate Claude Code into real DevOps processes: from secure deployment on a Linux VPS to automating workflows and creating a functioning portfolio project. You won't just learn about AI capabilities—you'll learn to use it as an engineering tool to increase development speed and quality.

What this course will give you

The training is based on practical tasks that DevOps engineers solve daily. You will explore key tools, learn safe handling of Claude Code, and acquire real engineering skills.

Core Competencies

  • Differences between self-hosted, cloud, and hybrid AI services
  • Installation and secure configuration of Claude Code on Linux VPS
  • Working with sessions, environment isolation, and safe execution modes
  • Setting up CLAUDE.md for project management and model behavior
  • Using slash commands, Plan Mode, and automated pipelines
  • Running Claude Code from the terminal via shell scripts and pipelines
  • Creating a portfolio based on Astro 5 and Tailwind v4
  • Deployment via nginx, DNS, BIND 9, and HTTPS configuration

Why it's important for DevOps engineers to work with Claude Code

Most specialists still interact with AI through a browser—it's convenient but extremely limited. Engineers, however, integrate models into their pipelines, environments, and tools. In this course, you will learn to work with Claude Code as predictably, safely, and manageably as any other infrastructure component.

What you will master in practice

1. Basic Infrastructure and Security

You will learn how to properly deploy Claude Code, choose a hosting model, set up secure operation, and protect the service in production.

2. Project Management and Automation

You will learn to structure projects, manage sessions, achieve reproducible model behavior, and automate routines via shell and commands.

3. Creating a Real Engineering Project

In the end, you will build a modern portfolio application and deploy it on your own VPS using Astro, Tailwind, nginx, DNS, and HTTPS. This project will serve as proof of your skills and help you stand out in the market.

Conclusion: What You Will Get

By the end of the course, you will have:

  • A deep understanding of how to integrate Claude Code into engineering processes;
  • Skills for safe handling of the model in a Linux environment;
  • Tools to accelerate development and DevOps operations;
  • A ready-to-deploy portfolio project.

You transition from experimentation to engineering practice—and start using AI at the level where modern DevOps teams operate.

Who teaches Claude Code for DevOps? Zero To Mastery

Zero To Mastery thumbnail

Zero To Mastery (ZTM) is a Toronto-based online coding academy founded by Andrei Neagoie, originally a senior developer at large Canadian tech firms before turning to teaching full-time. The academy's signature is the cohort-based bootcamp track combined with a deep self-paced course library, all aimed at career-changers and self-taught developers preparing to land software-engineering roles at top companies.

The instructor roster has grown well beyond Andrei to include other senior practitioners: Daniel Bourke (machine learning), Aleksa Tešić (DevOps), Jacinto Wong, and others. Courses cover the full software-engineering career path: web development with React and Next.js, Python, machine learning and deep learning, DevOps and cloud, system design, mobile, and the algorithm / data-structure interview prep that gates engineering jobs.

The CourseFlix listing under this source carries over 120 ZTM courses spanning that full range. Material is paid; ZTM itself runs on a monthly / annual membership model. The teaching style favours long-form, project-based courses where students build complete portfolio-quality applications rather than disconnected feature tutorials.

What lessons are included in Claude Code for DevOps?

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#1: Introduction
All Course Lessons (20)
#Lesson TitleDurationAccess
1
Introduction Demo
01:59
2
Self-Hosted vs Cloud vs Hybrid AI
08:28
3
What is Claude Code?
06:12
4
Setting Up a Linux VPS in the Cloud
06:45
5
How to Run Claude Code Securely on a Linux VPS
05:57
6
Setting Up Claude Code
08:34
7
Running Claude Code: Project Directory, CLAUDE.md, and Skills
06:32
8
Modes of Operation, Isolation, and Sessions
09:32
9
Claude Code Slash Commands
13:23
10
Claude Code in the Shell - Scripts, Pipes, and Automation
14:30
11
No. 1 Tip: Plan Mode (/plan)
08:52
12
What We're Building and Why It Matters
06:01
13
Project Setup and Why We Use Git
06:27
14
Scaffolding the Astro 5 + Tailwind v4 Project
07:47
15
Building the Portfolio Site
06:33
16
Serving with nginx - Keeping It Simple
05:49
17
DNS - Delegating Your Domain to Your Own Nameserver
06:49
18
Setting Up BIND 9 on the VPS
10:10
19
HTTPS with Let's Encrypt
05:47
20
From Zero to Production: Built, Deployed, and Ready for the Interview
04:14
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Frequently asked questions

What prerequisites should I have before enrolling in this course?
Before enrolling in this course, it is recommended that you have a basic understanding of Linux systems, as the course involves setting up and configuring a Linux VPS. Familiarity with command-line operations and version control systems like Git will also be beneficial, as these skills are utilized during the course for project management and deployment tasks.
What will I build during this course?
During the course, you will build a portfolio project using Astro 5 and Tailwind v4. The project involves deploying a site via a Linux VPS, configuring nginx for serving, setting up DNS with BIND 9, and implementing HTTPS with Let's Encrypt. This hands-on experience will help solidify your understanding of integrating Claude Code into DevOps processes.
Who is the target audience for this course?
This course is targeted at DevOps engineers and developers interested in integrating AI tools into their workflows. It’s particularly useful for those who want to move beyond basic browser-based AI interactions and embed AI models like Claude Code into their infrastructure for enhanced automation and efficiency.
How does this course compare to other DevOps courses?
Unlike many DevOps courses that focus on traditional infrastructure and automation tools, this course uniquely integrates AI capabilities using Claude Code. It emphasizes secure deployment and practical use of AI in engineering tasks, providing a specialized skill set not typically covered in standard DevOps training.
What specific tools and platforms will I learn to use?
In this course, you will learn to use a variety of tools and platforms, including Linux VPS for secure deployment, Claude Code for AI integration, nginx for serving applications, Git for project management, and BIND 9 for DNS configuration. Additionally, you’ll use CLAUDE.md for managing model behavior and Plan Mode for project planning.
What topics are not covered in this course?
This course does not cover basic programming skills or extensive details of AI model training and development. It focuses on integrating Claude Code into existing DevOps processes rather than teaching AI model creation or general programming. Prior knowledge of fundamental programming concepts is expected.
What is the time commitment required for this course?
The course consists of 20 lessons and is designed to be completed at your own pace. While the exact runtime is not specified, you should allocate time for both the lessons and hands-on project tasks, which could vary based on individual learning speeds and prior experience with the covered tools and platforms.