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AI-Assisted DevOps & Cloud Mastery Program (Job-Ready | Production-Focused).

By Vyomanant Academy Categories: DevOps
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About Course

The ๐—”๐—œ-๐—”๐˜€๐˜€๐—ถ๐˜€๐˜๐—ฒ๐—ฑ ๐——๐—ฒ๐˜ƒ๐—ข๐—ฝ๐˜€ & ๐—–๐—น๐—ผ๐˜‚๐—ฑ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ๐˜† ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ is a job-ready, production-focused training program designed for beginners, professionals, and career switchers who want to build practical skills in DevOps and Cloud Engineering.

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You will learn AWS, Linux, Git, Terraform, Ansible, Docker, Kubernetes, CI/CD, ArgoCD, Prometheus, and Grafana through hands-on labs, real-world projects, and an end-to-end capstone project.

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This program also teaches you how to use AI assistants safely for scripting, troubleshooting, documentation, command validation, and DevOps workflow improvement.

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๐—ช๐—ต๐—ฎ๐˜ ๐— ๐—ฎ๐—ธ๐—ฒ๐˜€ ๐—ง๐—ต๐—ถ๐˜€ ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ ๐——๐—ถ๐—ณ๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐˜ ๐Ÿš€
ย ย โ€ข 120+ hands-on labs
ย ย โ€ข 5+ real-world projects
ย ย โ€ข End-to-end DevOps capstone project
ย ย โ€ข Live instructor-led sessions
ย ย โ€ข Production-focused labs
ย ย โ€ข AI-assisted DevOps workflows
ย ย โ€ข GitHub-ready project documentation
ย ย โ€ข Resume, LinkedIn, GitHub portfolio, and mock interview support

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By the end of this program, you will be ready to build, automate, deploy, monitor, and manage real-world DevOps systems.

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    What Will You Learn?

    • Build end-to-end CI/CD pipelines
    • Deploy applications on AWS Cloud
    • Containerize applications using Docker
    • Orchestrate workloads using Kubernetes
    • Automate infrastructure using Terraform
    • Configure systems using Ansible
    • Implement monitoring using Prometheus & Grafana
    • Manage GitOps deployments using ArgoCD
    • Use AI assistants for DevOps scripting and troubleshooting
    • Build real-world DevOps portfolio projects

    Course Content

    Module 0 โ€” Course Orientation, Tools Setup and Lab Environment

    • Program Introduction
    • Complete Course Roadmap
    • System Requirements and Lab Readiness
    • Lab Workflow, Learning Material Access, and Assignment Submission
    • Class Schedule, Guidelines, and Next Steps
    • Tools and Accounts Setup
    • AI Assistant Setup for DevOps Learning

    Module 1 โ€” DevOps Foundations and SDLC

    Module 2 โ€” AI-Assisted DevOps Overview

    Module 3 โ€” Linux Administration and Shell Scripting

    Module 4 โ€” Networking for Cloud and DevOps

    Module 5 โ€” Git and GitHub Version Control

    Module 6 โ€” AWS Cloud Infrastructure Core

    Module 7 โ€” Infrastructure as Code with Terraform

    Module 8 โ€” Configuration Management with Ansible

    Module 9 โ€” Containerization with Docker

    Module 10 โ€” Kubernetes Container Orchestration

    Module 11 โ€” CI/CD with Jenkins and GitHub Actions

    Module 12 โ€” DevSecOps and Secure CI/CD Pipelines

    Module 13 โ€” GitOps with Argo CD

    Module 14 โ€” Monitoring and Observability

    Module 15 โ€” Advanced DevOps and Production Scenarios

    Project 1 โ€” Cloud Infrastructure Automation

    Project 2 โ€” End-to-End CI/CD Pipeline Implementation

    Project 3 โ€” GitOps Kubernetes Deployment

    Capstone Project โ€” Production DevOps System

    Career Support โ€” Resume, LinkedIn, GitHub, Mock Interviews & Job Search

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