BROWSE TORRENTS

Udemy - Generative AI for DevOps

Category: Other
Type: Tutorials
Language: English
Total Size: 2.7 GB
Uploaded By: freecoursewb
Downloads: 37917
Last checked: Mar. 24th '26
Date uploaded: Mar. 24th '26
Seeders: 21321
Leechers: 11700
INFO HASH: A4031ABB1981C70FB73D71923B5B1FE6A72E5F48

Generative AI for DevOps

https://WebToolTip.com

Published 3/2026
Created by Trevoir Williams
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 61 Lectures ( 5h 8m ) | Size: 2.74 GB

Use Generative AI, GitHub Copilot, Azure OpenAI, GitHub Actions, and .NET 10 to modernize DevOps Workflows

What you'll learn
✓ Apply Generative AI across the DevOps lifecycle for coding, pipelines, infrastructure, testing, release management, and incident response.
✓ Utilize Copilot to streamline CI/CD workflows.
✓ Automate repetitive DevOps tasks with Copilot.
✓ Enhance infrastructure as code (IaC) practices.
✓ Troubleshoot and monitor with AI assistance.
✓ Develop DevOps tuned AI Agents
✓ Implemented Autonomous AI Agents
✓ Integreate LLM Reasoning into GitHub Workflows
✓ Understand the difference between AI-assisted and AI-autonomous DevOps, including safe and unsafe use cases.
✓ Use AI for ChatOps, release notes, test strategy, root cause analysis, and documentation workflows.
✓ Add observability, evaluation, and feedback loops to AI-assisted pipelines and agents.
✓ Improve DevOps outcomes with better prompt engineering and context engineering for operational tasks.
✓ Design deterministic and secure AI-assisted workflow steps for GitHub Actions and pipeline automation.
✓ Build and extend a minimal DevOps agent, add memory carefully, and integrate MCP-based tooling into workflows.
✓ Establish enterprise guardrails for security, compliance, accountability, and responsible AI use in DevOps teams.

Requirements
● Git and GitHub fundamentals
● Basic command-line usage
● A GitHub account (personal or enterprise).
● Basic cloud and infrastructure concepts
● Core DevOps concepts such as CI/CD, pull requests, source control, pipelines, and release workflows
● Intermediate development experience with C# and .NET is helpful because the course examples are standardized on .NET
● Familiarity with Azure and GitHub Actions will help you move faster through the s