Cloud & DevOps Course in Bhopal | Miracle IT Career Academy
CLOUD & DEVOPS ENGINEERING

Cloud Computing & DevOps Course in Bhopal

Hands-on training in AWS Cloud architecture, Docker containers, Kubernetes clusters, and automated CI/CD pipelines in our dedicated M.P. Nagar lab.

4 - 5 Mo Verified Duration
100% Lab Practice
6+ Production Deployments
1 : 1 Daily Mentorship
⚡ 5 Industry Cloud & DevOps Stacks ● Click any card to spotlight
AMAZON WEB SERVICES
AWS Cloud Logo

AWS Cloud

Cloud Infrastructure

EC2 • VPC • S3 • IAM • RDS

CONTAINERS
Docker Logo

Docker

Containerization

Dockerfile • Compose • Multi-Stage

ORCHESTRATION
Kubernetes Logo

Kubernetes

Cluster Management

Pods • Deployments • Helm • Ingress

INFRASTRUCTURE AS CODE
Terraform Logo

Terraform

Cloud Automation

IaC • Modules • State Management

AUTOMATION PIPELINES
Linux and CI/CD Logo

Linux & CI/CD

Pipelines & GitOps

Bash • GitHub Actions • Jenkins

Who Is This Course For?

Explore the right learning path based on your current background and cloud engineering career goals.

College Students

CS / IT / BCA Students

Overcome textbook theory. Build real production deployments with Docker, Kubernetes, and AWS cloud architecture on dedicated workstations.

  • Minor & Major Project Support
  • Flexible Morning & Evening Batches
  • Hands-On Cloud & Docker Labs
SysAdmin Upgrade

Network & SysAdmins

Upgrade manual server maintenance into automated Infrastructure as Code (Terraform), container orchestration, and multi-region AWS cloud provisioning.

  • Linux Server Automation & Bash
  • AWS VPC & Cloud Networking
  • Docker Migration Pipelines
Dev Level-Up

Software Developers

Tired of saying "it works on my machine"? Master Docker containerization, Kubernetes scaling, and GitHub Actions CI/CD to control production deployments.

  • End-to-End Automated CI/CD
  • Kubernetes Pod Orchestration
  • Terraform Infrastructure as Code
Job Seekers

Recent Tech Graduates

Graduate with verified industry engineering competence. Build an undeniable GitHub portfolio featuring live AWS infrastructures and automated pipelines.

  • Technical Mock Interview Desk
  • 6+ Production Capstone Projects
  • Verified GitHub Portfolio
Career Shift

IT Support & Ops Pros

Move away from repetitive support tickets. Pivot into high-growth Cloud Associate and DevOps Engineer positions with structured guidance.

  • Zero Coding Prerequisite Start
  • Prometheus & Grafana Telemetry
  • AWS Certification Roadmaps

Not sure if Cloud & DevOps matches your career trajectory?

Book a free 1-on-1 profile evaluation with our senior cloud mentors in M.P. Nagar. We'll map your background against current cloud hiring demands.

Evaluate My Profile Free

Structured 5-Stage Mastery Flow

A structured engineering progression from Linux system administration and Docker containerization to multi-node Kubernetes clusters, AWS cloud architecture, and automated GitOps CI/CD pipelines.

Scroll to explore the 5 stages
01

Linux Administration, Shell Scripting & Networking

• WEEKS 1–3 — FOUNDATIONAL SYSTEMS MILESTONE

Master the Linux operating system from the terminal up. Learn file permissions, systemd service management, automated Bash shell scripting, SSH key security, Nginx reverse proxies, and TCP/IP networking fundamentals.

Linux File System & Permissions Automated Bash Shell Scripts SSH Keys & Bastion Host Security Nginx Reverse Proxy & SSL Certificates systemd, Cron Jobs & Process Monitoring
Core Technologies:
Linux Linux OS
Git Git & GitHub
Stage 1 Output: Automated Server Health Monitor & Nginx Proxy
Linux Hardened
Stage 1 Linux Administration Bash Automation and Nginx Reverse Proxy
Stage 2 Output: Multi-Service Microservices Stack on Docker
Docker Optimized
Stage 2 Docker Multi-Container Compose Architecture and Microservices
02

Docker Containerization & Microservice Packaging

• WEEKS 4–7 — CONTAINER INFRASTRUCTURE MILESTONE

Eliminate environment discrepancies permanently. Write high-performance Dockerfiles with multi-stage builds, manage persistent data with volumes, link isolated container networks, and orchestrate full-stack apps with Docker Compose.

Docker Architecture & Container Lifecycle Multi-Stage Dockerfile Optimization Docker Compose Multi-Container Stacks Container Networking & Bridge Modes Docker Hub & AWS ECR Container Registries
Core Technologies:
Docker Docker Engine
Linux Containers
03

Kubernetes Cluster Orchestration & Scaling

• WEEKS 8–11 — PRODUCTION ORCHESTRATION MILESTONE

Scale containers across clusters like modern engineering giants. Master Pods, Deployments, ReplicaSets, ClusterIP & LoadBalancer services, Ingress controllers, Helm chart packaging, and zero-downtime rolling updates.

K8s Control Plane & Worker Architecture Pods, Deployments & ReplicaSets ClusterIP, NodePort & LoadBalancer Services Nginx Ingress Controllers & Routing ConfigMaps, Secrets & Helm Package Management Horizontal Pod Autoscaler (HPA)
Core Technologies:
Kubernetes Kubernetes
Docker Helm
Stage 3 Output: Kubernetes Multi-Node Cluster with Ingress & Helm
K8s Orchestrated
Stage 3 Kubernetes Multi-Node Cluster Orchestration HPA and Ingress
Stage 4 Output: Multi-AZ AWS Infrastructure via Terraform IaC
AWS Provisioned
Stage 4 AWS Cloud Architecture and Terraform Infrastructure as Code
04

AWS Cloud Architecture & Terraform Infrastructure as Code

• WEEKS 12–15 — ENTERPRISE CLOUD & IAC MILESTONE

Design scalable, fault-tolerant enterprise cloud environments on Amazon Web Services. Provision complete VPCs, EC2 auto-scaling groups, ALB load balancers, S3 buckets, and RDS databases programmatically with HashiCorp Terraform.

AWS VPC, Subnets, NAT Gateways & Route Tables EC2 Compute, Security Groups & Key Pairs Application Load Balancers (ALB) & Auto-Scaling S3 Storage, IAM Roles & CloudWatch Metrics Terraform Syntax (HCL), State Files & Reusable Modules
Core Technologies:
AWS AWS Cloud
Terraform Terraform IaC
05

Automated CI/CD Pipelines, GitOps & Observability

• WEEKS 16–19 — PRODUCTION GITOPS & SRE MILESTONE

Complete the DevOps lifecycle. Build end-to-end automated pipelines with GitHub Actions and Jenkins, execute zero-downtime rolling deployments to AWS/Kubernetes, and monitor production reliability with Prometheus and Grafana dashboards.

GitHub Actions Workflows & Secrets Management Jenkins Declarative Multibranch Pipelines Automated Testing & Docker Image Scanning Zero-Downtime Blue/Green & Canary Rollouts Prometheus Metrics Ingestion & AlertManager Grafana Visual Telemetry & System Health Dashboards
Core Technologies:
GitHub Actions GitHub Actions
AWS Cloud AWS ECR
Stage 5 Output: Zero-Downtime Pipeline & Grafana Telemetry
GitOps Verified
Stage 5 Automated CI/CD Pipeline and Grafana Production Observability

How You'll Learn

A transparent, practical engineering journey designed to replace passive tutorials with hands-on cloud architecture, container management, and automated deployments.

01

Architecture & System Design Breakdown

Every topic begins with real-world architectural thinking. Understand why microservices exist, how high availability works across multiple AWS availability zones, and how automated deployment pipelines prevent manual production downtime.

What happens in class:

Interactive whiteboard system diagrams, VPC CIDR block planning, and architectural discussions analyzing enterprise failure cases.

Multi-AZ Planning Failure Resiliency Architectural Best Practices
02

Hands-On Workstation Terminal Labs

Move directly from the lecture desk to your dedicated lab workstation. Write Linux Bash scripts, build multi-stage Docker containers, configure Nginx load balancing, and troubleshoot errors in real time.

What happens in the lab:

100% individual workstation terminal practice writing real configuration files, Dockerfiles, and container networking scripts.

Dedicated Lab PC Docker CLI & Compose Bash Automation
03

Live Cloud Provisioning & Cluster Deployment

Deploy real workloads to the cloud. Write Terraform templates to provision AWS VPCs, configure Kubernetes Pod autoscalers, set up Ingress domains, and implement GitHub Actions CI/CD to auto-deploy commits.

What you build:

Live, production-accessible web applications running on AWS cloud infrastructure and scalable Kubernetes clusters.

AWS Cloud Provisioning Kubernetes Clusters CI/CD Webhooks
04

1-on-1 Code Review & Troubleshooting Drills

When a pipeline fails or a Kubernetes Pod is stuck in CrashLoopBackOff, senior mentors sit beside you to analyze logs, trace networking issues, and teach you professional SRE troubleshooting methodologies.

The outcome:

Deep operational intuition, ability to diagnose production incidents, and total confidence during live technical interviews.

1-on-1 Debugging Incident Management Interview Preparation

Build With Real Cloud & DevOps Labs

Proof of practical engineering competence. Provision, containerize, orchestrate, and document production architectures on your verified portfolio.

AWS Cloud Infrastructure Lab at Miracle IT Bhopal
Live Cloud Infrastructure AWS + Terraform IaC

CloudScale — High-Availability Multi-Tier AWS Infrastructure

Production-ready multi-tier cloud infrastructure provisioned programmatically using Terraform. Features customized VPC, private/public subnets, Application Load Balancer, auto-scaling EC2 web tiers, and managed RDS PostgreSQL with automated snapshot replication.

What the learner practices:

Terraform HCL modularization, remote state locking with S3 & DynamoDB, security group isolation, and automated multi-AZ cloud failover.

AWS Terraform VPC EC2 Auto-Scaling RDS PostgreSQL
Kubernetes Cluster Deployment Lab in Bhopal
Production K8s Cluster Kubernetes + Helm

KubeFleet — Resilient Microservices Cluster with Ingress & Helm

Containerized microservices application orchestrated on a production Kubernetes cluster. Features customized Helm charts, Nginx Ingress SSL routing, ConfigMaps, Secret injection, readiness/liveness probes, and Horizontal Pod Autoscaling (HPA) under CPU spikes.

What the learner practices:

Kubernetes declarative manifests, Helm chart templating, Ingress reverse proxy routing, and real-time pod autoscaling stress simulations.

Kubernetes Docker Helm Nginx Ingress Auto-Scaling
Automated CI/CD Pipeline Engineering at Miracle IT
GitOps CI/CD Pipeline GitHub Actions + Docker

PipelineMaster — Zero-Downtime Automated CI/CD & Observability

End-to-end continuous integration and deployment pipeline triggered via Git webhooks. Executes automated linting and unit tests, builds optimized multi-stage Docker images, runs vulnerability scans, pushes to container registry, and performs zero-downtime rolling updates.

What the learner practices:

GitHub Actions workflow authoring, secret management, Docker multi-stage builds, zero-downtime deployment strategies, and Prometheus monitoring.

GitHub Actions Docker CI/CD Prometheus Grafana

Inspect real student GitHub repositories and live deployments

Schedule a visit to our M.P. Nagar center to inspect actual student terminal work, view live running Kubernetes clusters, and see what you will build firsthand.

Book Lab Visit & Demo

Career Support

Comprehensive preparation and guidance to help you transition from practical learner to industry-ready Cloud and DevOps engineer.

Career Guidance & Certification Roadmap

Personalized skill audits and strategic study roadmaps for industry certifications (AWS Solutions Architect Associate, CKA Kubernetes Administrator, Terraform Associate).

1-on-1 Mentorship Desks

Resume & GitHub Portfolio Architecture

Structuring an employer-ready technical DevOps resume highlighting real Terraform IaC codebases, multi-stage Dockerfiles, and production CI/CD workflows.

Portfolio & Repo Formatting

Interview Question Banks & System Design

Master standard DevOps interview challenges, Linux command-line riddles, Kubernetes pod networking mechanics, and real-world high-availability system architecture scenarios.

DevOps Question Banks

Internship Opportunities

Guidance on securing junior Cloud Associate, DevOps Engineer Intern, and Site Reliability Engineering (SRE) trainee roles with IT services companies.

Internship Roadmap

Placement Assistance & Referrals

Connecting verified students with scheduled hiring drives, off-campus cloud infrastructure openings, and employer recruitment referrals.

Hiring Drive Alerts

Mock Troubleshooting & Terminal Rounds

Simulated technical interviews conducted by senior DevOps engineers evaluating live debugging of failing pipelines, broken Docker builds, and pod crash loops under time constraints.

Detailed Performance Feedback
Honest Academic Policy: We provide structured internship guidance, placement support, resume reviews, and technical mock interviews. We uphold complete integrity and do not make unsubstantiated claims regarding 100% guaranteed jobs, guaranteed placements, or guaranteed salaries.
Talk To Counsellor

Course Details

Verified course specifications, batch flexibility, and transparent fee policies. No ambiguous promises.

Duration
4 - 5 Months

4 Months: Fast-Track Intensive (Linux, Docker, AWS Core & CI/CD pipelines).
5 Months: Comprehensive Track including advanced Kubernetes Orchestration, Terraform IaC, and GitOps.

Eligibility
Open to All Streams

B.Tech, BCA, MCA, B.Sc (IT/CS/Electronics), Diploma, or graduates with basic computer comfort. No prior coding or cloud experience is mandatory.

Batch Mode & Timings
In-Person & Flexible

Mode: In-person workstation lab training in M.P. Nagar.
Slots: Morning, Afternoon, Evening, and Weekend Special Batches for college students and working professionals.

Fees
Affordable & EMI

Transparent fee structure with easy monthly installment (EMI) options. Inclusive of all workstation lab access, cloud practice sandboxes, and placement evaluation. Zero hidden charges.

Want exact fee details and available scholarship concessions?

We believe in 100% upfront honesty. Visit our M.P. Nagar center to inspect the syllabus, speak directly with cloud faculty, and receive a transparent, printed fee roadmap.

Schedule Free Fee & Syllabus Audit

Student Experience

Real results and verified reviews from students trained in our Bhopal workstation labs.

Astik Sarathe placed at Infosys Astik Sarathe Infosys
Akshat placed at Accenture Akshat Accenture
Anuj Kumar Kaushal placed at TCS Anuj Kaushal TCS
Siddhant placed at Infosys Siddhant Infosys
Namit Shirode placed at Uline USA Namit Shirode Uline (USA)
Mohit placed at Dot9 Games Mohit Dot9 Games

"The hands-on Docker and Kubernetes lab sessions were incredible. We didn't just look at architecture diagrams — we wrote Dockerfiles, configured Ingress controllers, and deployed real microservices on dedicated workstation PCs."

Ankita

Ankita

DevOps Trainee • Miracle IT Bhopal

"Learning Infrastructure as Code with Terraform and automating AWS cloud deployments gave me huge confidence in interviews. The mentors explain real failure cases and production debugging instead of just textbook theory."

Vinod

Vinod

Cloud Associate • Miracle IT Graduate

"Coming from a basic desktop support background, transitioning to automated GitHub Actions CI/CD and AWS Cloud felt daunting. The daily 1-on-1 mentor guidance in M.P. Nagar made all the difference."

Mohit

Mohit

SRE Engineer • Miracle IT Alum

Frequently
Asked Questions

Straightforward answers about our Cloud & DevOps course, hands-on workstation lab, AWS cloud practice, and free 1-on-1 career counselling in M.P. Nagar, Bhopal.

Have a different question?

Talk to a Counsellor

Yes! The course begins from the ground up with Linux OS fundamentals, command-line navigation, and basic TCP/IP networking. You do not need prior software development or programming expertise to excel in cloud infrastructure, container management, and automated deployment pipelines.

Visit Us in M.P. Nagar, Bhopal

Centrally located in Zone-II, M.P. Nagar — Bhopal's primary educational hub. Accessible from all major transit links.

📍 Zone-2, M.P. Nagar Hub 🚆 5 Min from Rani Kamlapati (RKMP) 🚌 2 Min from Chetak Bridge / Sargam 🅿️ Dedicated Student Parking
In-Person Training Center
Visiting Desk Open Today

Miracle IT Career Academy

Campus Address:

Plot No.80, 3rd Floor, Aakriti Complex, Zone-2, M.P.Nagar, Bhopal, M.P.

Key Landmarks & Proximity:

Near Sargam Cinema & Chetak Bridge • Aakriti Complex Zone-2

Counselling & Visiting Hours:

Monday to Saturday: 10:00 AM – 7:00 PM (Sunday by appointment)

Cloud & DevOps Workstation Lab at Miracle IT Bhopal
Dedicated Workstation Lab: High-performance machines with terminal access, Docker virtualization, and dual-monitor support for cloud training.

Book Free Career Counselling Visit

Visit our M.P. Nagar center. Meet senior cloud & DevOps mentors, review the AWS, Docker & Kubernetes syllabus line-by-line, and get an honest, non-binding assessment of your learning timeline.

Please enter your full name.
+91
Please enter a valid 10-digit Indian phone number.
Please select your current educational background.
When would you like to visit our M.P. Nagar center?

🔒 100% Free & Non-Binding. No spam, ever. Your contact number is used solely to coordinate your visit time with our Bhopal academic coordinator.