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Udemy - Ultimate Agentic AI DevOps with Claude Code

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Added 4 months ago by freecoursewb in Other
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Udemy - Ultimate Agentic AI DevOps with Claude Code (Size: 1.5 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Welcome & Course Setup
  1. Course Introduction.mp4 39.8 MB
  2 - CLAUDE.md — Teaching AI Your Project
  3 - Claude Code Skills - Open Standard
  10. What Are Skills and Why Do They Exist.mp4 111.6 MB
  11. CLAUDE.md vs Skills — What's the Difference.mp4 86 MB
  12. Why skills matter for DevOps Engineers.mp4 54.7 MB
  13. What Are Skills.mp4 133.5 MB
  4 - First Deploy — Skills in Action
  14. Agentic DevOps Way of The Deployment Plan.mp4 41.9 MB
  15. Setup The Skills Files.html 8.7 KB
  15. deploy-SKILL.md 819.2 B
  15. scaffold-terraform-SKILL.md 921.6 B
  15. scaffold-terraform-template-spec.md 1.3 KB
  15. tf-apply-SKILL.md 614.4 B
  15. tf-plan-SKILL.md 512 B
  16. Walk Through scaffold-terraform and tf-plan.mp4 182.6 MB
  17. Walk Through tf-apply and deploy.mp4 91.1 MB
  18. Scaffold, Plan, Apply, Deploy — Your Site Goes Live.mp4 185.6 MB
  19. What is Coming Next.html 7.5 KB
  6. CLAUDE.md 4.5 KB
  6. Writing Your First CLAUDE.md.mp4 144 MB
  7. What is CLAUDE.md.mp4 46.9 MB
  8. The Engineer's CLAUDE.md.mp4 121.9 MB
  9. How CLAUDE.md work in Agent Loop.mp4 112.8 MB
  2. The Problem We're Solving.mp4 27.4 MB
  3. Prerequisites & Environment Setup.html 11.1 KB
  4. Claude Code — Setup & Subscription.mp4 68.8 MB
  5. Code Repository.url 102.4 B
  5. Fork the Project Repository.mp4 60.9 MB

Description


Ultimate Agentic AI DevOps with Claude Code

https://WebToolTip.com

Published 2/2026
Created by Pravin Mishra | AWS Certified Cloud Practitioner | Solutions Architect
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 19 Lectures ( 2h 22m ) | Size: 1.47 GB

Build AWS infra with Agentic AI DevOps Claude Code: Skills, Agents, Guardrails, MCP tools, Memory + GitHub Actions OIDC

What you'll learn
✓ CLAUDE md: Project Context (Make AI Understand Your Repo) Teach Claude Code your architecture, conventions, and commands so it stops guessing.
✓ Skills: Slash Commands (Your DevOps Command Center) Build reusable /scaffold-terraform, /tf-plan, /tf-apply, /deploy workflows with strict tool guardrails.
✓ Custom Agents: AI Team (Security + Cost + Drift + Terraform Writer) Create specialist subagents to audit Terraform, optimize spend, detect drift, and generate.
✓ MCP Servers: Live Tooling (AWS + Terraform Docs Access) Connect Claude to real AWS resources and Terraform provider schemas so outputs are accurate & upto date.
✓ Safety: Guardrails (Hooks + Permissions for Live Infra) Implement the 3-layer safety model: UserPromptSubmit → PreToolUse → PostToolUse, plus allow/deny permiss
✓ Memory: Persistence (Remember What Worked) Enable project + agent memory so Claude improves across sessions and doesn’t repeat the same mistakes.
✓ CI/CD: Automation (GitHub Actions + OIDC) Deploy on every push using keyless auth, S3 sync, and CloudFront invalidation—no stored AWS access keys.
✓ Capstone: Build From Scratch (Full .claude/ Operating System) Rebuild the complete system end-to-end: skills, agents, hooks, MCP, memory, and CI/CD.

Requirements
● Basic DevOps foundations: Git/GitHub, CLI comfort, and a rough idea of Terraform + AWS (S3/CloudFront/IAM).
● A laptop/desktop with internet + VS Code installed; you should be comfortable editing files and running terminal commands.
● AWS account with permissions to create S3/CloudFront/IAM resources + AWS CLI configured (aws sts get-caller-identity).
● Tools installed: Claude Code (CLI + extension), Terraform (>=1.5), Docker, uvx, and a GitHub account for CI/CD.

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