Pravin Mishra | AWS Certified Cloud Practitioner | Solutions Architect

    Ultimate Agentic AI DevOps with Claude Code

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    In this comprehensive course, learners transition from traditional DevOps practices into the cutting-edge realm of Agentic AI. The curriculum focuses on empowering Claude Code to act as an autonomous engineer capable of managing AWS infrastructure with precision. Instead of relying on static scripts, you will master the art of teaching Claude your specific architecture, coding conventions, and organizational commands through structured context management. The course dives deep into creating custom skills, implementing Model Context Protocol (MCP) servers for live AWS connectivity, and establishing robust guardrails that ensure secure interaction with cloud environments. You will explore advanced concepts like persistence, enabling AI to learn from previous sessions, and the integration of specialized sub-agents designed for cost optimization, security auditing, and Terraform drift detection. By the end of the program, you will bridge the gap between AI-driven intelligence and traditional CI/CD pipelines by utilizing GitHub Actions with OIDC for secure, keyless deployments. This is an essential deep dive for modern cloud engineers looking to offload repetitive DevOps toil to sophisticated autonomous agents, effectively turning their IDE into a fully-automated, context-aware command center.

    About the creator

    Pravin Mishra | AWS Certified Cloud Practitioner | Solutions Architect

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    Pravin Mishra is an experienced AWS Certified Cloud Practitioner and Solutions Architect who bridges the gap between cloud infrastructure, artificial intelligence, and real-world business automation. He specializes in designing scalable solutions and making complex technologies accessible to both developers and non-technical business professionals. Pravin's teaching philosophy centers on highly practical, project-based learning. In his courses on AllPros, including "Build AI Agents for Business: Automate Work Without Coding" and "Ultimate Agentic AI DevOps with Claude Code," he empowers students to leverage cutting-edge tools like Claude Code and no-code AI platforms. By demystifying cloud concepts and agentic AI architectures, Pravin helps learners…Show more

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    Program Overview

    Online Course

    Learning format

    AI Agents

    Subcategory

    $24.99 (list $9.99)

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    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.

    Best For

    • DevOps engineers aiming to automate infrastructure workflows using AI agents.
    • Cloud architects looking to implement keyless authentication via OIDC and GitHub Actions.
    • Developers interested in mastering the Model Context Protocol (MCP) for AI integration.
    • Tech leads wanting to reduce operational toil through intelligent, agentic guardrails.

    Not For

    • Absolute beginners with no prior knowledge of AWS, Terraform, or CLI tools.
    • Those looking for a non-technical introduction to AI without any infrastructure coding.
    • Users exclusively seeking standard GUI-based cloud management without AI automation.

    What's included

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