Ultimate Agentic Ai Devops With Claude Code

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Ultimate Agentic Ai Devops With Claude Code
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 [/center]
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.
Description
DevOps is full of repetitive work: Terraform boilerplate, YAML pipelines, IAM glue, "one more config file," and the same debugging loop every time you deploy. This course teaches you a better workflow: Agentic DevOps with Claude Code, where Claude generates the scaffolding and you stay in control with skills, agents, and safety guardrails.
You'll build a real, production-style AWS deployment from scratch: a static site hosted on S3 + CloudFront, deployed through GitHub Actions CI/CD, authenticated with OIDC (no long-lived AWS keys). But the real deliverable isn't just the site-it's the complete .claude/ operating system you'll reuse on future projects: custom slash-command skills (plan/apply/deploy), specialist subagents (security auditing, cost optimization, drift detection, Terraform writing), and a safety model that protects live infrastructure.
As the course progresses, you'll add professional "Day-2" capabilities: parallel infra audits, status dashboards, drift checks, safe teardown, and an automated deploy pipeline that runs on every push. You'll also wire up MCP servers so Claude can query live AWS resources and Terraform provider docs, and you'll enable memory so your system improves across sessions.
This is an intermediate, hands-on course. You should be comfortable with basic AWS concepts, Terraform fundamentals, and Git-but you do not need to write Terraform or CI/CD YAML manually in this course. Claude writes the boilerplate; you review the 20% that matters and enforce the rules.
Who this course is for
■ DevOps Engineers who want to replace repetitive Terraform/YAML boilerplate with repeatable skills, agents, and safe deployment workflows.
■ Cloud Engineers who want a production-style S3 + CloudFront + OIDC CI/CD setup, with guardrails for live infrastructure.
■ Developers who want to understand "ship-ready" DevOps: deploy pipelines, infra basics, and an AI-assisted workflow without becoming Terraform experts.
■ Anyone exploring Agentic AI ways of working who wants a real, end-to-end system: CLAUDE md + skills + agents + hooks + MCP + memory.

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