Free Download AI-Powered Linux Automation Masterclass Build Your Own Gen
Published 10/2025
Created by Vimal Daga
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 5 Lectures ( 1h 31m ) | Size: 704 MB
Learn GenAI Ops using Python, LangChain, and LLMs to build autonomous agents that can automate any Linux task.
What you'll learn
Understand the fundamentals of GenAI Ops and how it revolutionizes Linux administration.
Differentiate between AI providing knowledge (like ChatGPT) and an AI Agent performing actions.
Build a custom AI agent from scratch using Python and the LangChain framework.
Connect to and utilize Large Language Models (LLMs) like Google Gemini for intelligent decision-making.
Implement a "shell tool" to allow the AI agent to execute Linux commands automatically.
Enhance the agent's behavior with system prompts and create an interactive command-line interface.
Deploy and use custom created, AI agents like agentCTL for immediate automation.
Requirements
A Linux environment (e.g., Red Hat, Ubuntu, or a VM) with internet access for hands-on practice.
Description
Are you ready to move beyond traditional scripting and step into the future of system administration? This course introduces you to the world of GenAI Ops, where you will learn to build intelligent AI agents that can understand your requests in plain English and perform complex Linux tasks for you. We address the "skill gap" and the limitations of human memory by leveraging Large Language Models (LLMs) like Google Gemini as a "super brain" for your operations.Unlike AI chatbots that only tell you what to do, you will learn to build agents that actually do it. Using Python and the powerful LangChain framework, we will guide you step-by-step through the process of creating a custom AI agent from scratch. You will learn how to connect an LLM for intelligence and integrate a "shell tool" that gives your agent the ability to execute commands, manage files, install software, and configure services automatically.Through hands-on projects, you will:Understand the architecture of an AI Agent.Build a fully functional agent that responds to interactive commands.Automate a real-world workflow: installing and configuring a web server with a custom homepage, all from a single prompt.Deploy and use agentCTL, a custom built agent, for instant automation.Learn to implement safety checks to ensure your agent only performs approved actions.By the end of this course, you'll no longer be just a user of the command line; you'll be the creator of an intelligent system that commands it for you, giving you a powerful new skill set in an AI-driven world.
Who this course is for
Linux System Administrators looking to automate repetitive tasks with AI.
DevOps Engineers who want to build intelligent, autonomous agents for their infrastructure.
Python Developers interested in practical, real-world applications of AI and LLMs.
IT Professionals and students seeking to learn the future of system administration.
Tech enthusiasts curious about building custom AI assistants that can interact with a live OS.
Anyone tired of manual command-line work who wants to learn how to make a computer do it for them just by asking.
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