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DevOps & Cloud Engineering Program (Job-Ready | Production-Focused).

By Vyomanant Academy Categories: DevOps
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About Course

This program is designed for beginners, professionals, and career switchers who want to build strong practical skills in DevOps, Cloud Computing, and modern infrastructure practices.

Unlike traditional courses, this program focuses on hands-on implementation, real-time projects, and industry-relevant tools used by top companies.

You will work with technologies like AWS, Docker, Kubernetes, Terraform, CI/CD pipelines, and monitoring tools to gain practical experience in building and managing scalable systems.

🚀 What makes this program different:
• 70+ Hands-on Labs
• 10+ Real-World Production Projects
• End-to-End DevOps Capstone Project
• Live Instructor-Led Sessions
• Production-grade Labs
• Career Support (Resume + LinkedIn + Mock Interviews)

By the end of this program, you will be able to design, build, automate, deploy, and monitor real-world production systems confidently.

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What Will You Learn?

  • Build end-to-end CI/CD pipelines
  • Deploy applications on AWS cloud infrastructure
  • Containerize applications using Docker
  • Orchestrate workloads using Kubernetes
  • Automate infrastructure using Terraform
  • Configure systems using Ansible
  • Implement monitoring using Prometheus & Grafana

Course Content

Module-1: DevOps Foundations & SDLC

  • Introduction to Software Development & Engineering Practices
  • SDLC Models (Waterfall vs Agile vs DevOps)
  • Why DevOps in Modern Engineering
  • DevOps Lifecycle & Key Stages
  • CI/CD Concepts & Workflow Overview
  • Monolith vs Microservices Architecture
  • DevOps Tools Ecosystem Overview
  • DevOps Tools – Initial Setup & Environment Configuration
  • Self Assessment

Module-2: Linux Administration & Shell Scripting

Module-3: Networking for Cloud & DevOps

Module-4: Version Control with Git & GitHub

Module-5: AWS Cloud Infrastructure (Core)

Module-6: CI/CD with Jenkins & GitHub Actions

Module-7: Infrastructure as Code (Terraform)

Module-8: Configuration Management with Ansible

Module-9: Containerization with Docker

Module-10: Kubernetes (Container Orchestration)

Module-11: Monitoring & Observability

Module-12: Advanced DevOps Practices (Production Scenarios)

Module-13: GitOps with ArgoCD

Module-14: AI-Assisted DevOps Workflows

Project 1 – CI/CD Pipeline (End-to-End)

Project 2 – Cloud Infrastructure Automation

Capstone Project – Production DevOps System

Career Preparation & Interview Readiness

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