Generative Ai For Devops Engineers (2026)
Published 5/2026
Created by Rafał Podraza - Testowanie Oprogramowania
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 39 Lectures ( 3h 59m ) | Size: 2.3 GB
Use ChatGPT and Copilot for CI/CD, Docker, AWS and Automation
What you'll learn
Use AI in DevOps Work with ChatGPT and GitHub Copilot Generate Bash scripts with AI Create YAML configurations Automate CI/CD workflows Work with Docker and AWS Generate Terraform configurations Analyze logs and errors with AI Build DevOps workflows Deploy applications to AWS EC2Requirements
Basic understanding of DevOps concepts Basic knowledge of Docker and GitHub Motivation to learn AI in DevOpsDescription
This course contains the use of artificial intelligence.
Generative AI for DevOps Engineers
Learn how to use Generative AI, ChatGPT, and GitHub Copilot to automate, optimize, and improve modern DevOps workflows.
Welcome to "Generative AI for DevOps Engineers" - a practical hands-on course designed for DevOps engineers, developers, cloud engineers, and IT professionals who want to use Artificial Intelligence in real DevOps scenarios.
In this course, you will learn how tools such asChatGPT and GitHub Copilotcan help you automate repetitive tasks, generate infrastructure configurations, optimizeCI/CDpipelines, improve Docker environments, analyze logs, and accelerate deployment processes.
This is not a theoretical AI course.
The focus is on practical DevOps workflows and real examples that you can immediately apply in your daily work.
What You'll Learn
How Generative AI can support modern DevOps workflows How to use ChatGPT and GitHub Copilot in DevOps projects How to generate Bash scripts and YAML configurations using AI How to automate repetitive DevOps tasks with AI How to build and optimize CI/CD pipelines with AI assistance How to debug CI/CD issues using ChatGPT and Copilot How to generate Terraform configurations with AI How to improve Infrastructure as Code using AI How to create and optimize Dockerfiles with AI How to analyze logs, alerts, and monitoring data with AI How to automate deployments and rollbacks using AI tools How to generate technical documentation and runbooks with AI Prompt Engineering techniques for DevOps scenarios Best practices for responsible and efficient AI usage in DevOpsFinal Practical Project
The course includes a complete practical project where you will
Prepare an AWS EC2 environment Generate an application with AI Create and optimize a Dockerfile Push the project to GitHub Build a GitHub Actions deployment workflow Configure GitHub Secrets for deployment Perform a complete deployment step by stepPractical Exercises
The course also includes practical tasks and role-play exercises where you will practice real DevOps and AI-related scenarios.
You will additionally complete a theoretical test to validate your understanding of AI-powered DevOps workflows.
Who this course is for
DevOps engineers Developers and cloud engineers IT professionals working with CI/CD Docker and AWS usersHomepage
https://rapidgator.net/file/61ddb4b...rative_AI_for_DevOps_Engineers.part3.rar.html
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