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Best DevOps (AWS & Multi-Cloud) Course Training Institute

DevOps (AWS & Multi-Cloud)

DevOps (AWS & Multi-Cloud) is a comprehensive program designed to help learners master DevOps practices, Cloud Computing, Continuous Integration & Continuous Deployment (CI/CD), Infrastructure as Code (IaC), containerization, orchestration, monitoring, and cloud platforms like AWS, Microsoft Azure, and Google Cloud Platform (GCP). This course prepares students to automate software delivery, manage cloud infrastructure, and deploy scalable applications in modern enterprise environments.

Commercial
Industry Standard
Every 2 Weeks
New Batch Starts
Classroom / Remote
Training Modes
docker
build
-t
"active"
pipeline
passed
100%
✅
kubectl
apply -f
DevOps (AWS & Multi-Cloud)
REST APIs
SQL & Databases
Docker
AWS Cloud
Git & GitHub
Production Deployment
DevOps (AWS & Multi-Cloud)
REST APIs
SQL & Databases
Docker
AWS Cloud
Git & GitHub
Production Deployment
Program Overview

DevOps (AWS & Multi-Cloud) Includes

01

Linux Administration

Learn Linux operating system fundamentals, shell scripting, user management, file systems, networking, process management, and server administration.

02

AWS Cloud Services

Master AWS services including EC2, S3, IAM, VPC, RDS, Lambda, CloudWatch, Auto Scaling, Load Balancer, Route 53, CloudFormation, and cloud architecture.

03

Microsoft Azure

Learn Azure Virtual Machines, Azure Storage, Azure App Services, Azure Active Directory, Azure DevOps, networking, and cloud resource management.

04

Google Cloud Platform (GCP)

Understand Compute Engine, Cloud Storage, Kubernetes Engine (GKE), IAM, Cloud Functions, networking, and cloud deployment using GCP .

05

Git & GitHub

Learn version control, branching strategies, pull requests, collaboration, repository management, and Git workflows.

06

Jenkins CI/CD

Build Continuous Integration and Continuous Deployment pipelines using Jenkins, automated testing, build automation, and deployment workflows.

07

Docker & Kubernetes

Containerize applications using Docker and manage scalable container orchestration using Kubernetes.

08

Terraform & Infrastructure as Code (IaC)

Automate infrastructure provisioning using Terraform, reusable modules, state management, and cloud automation.

09

Monitoring & Logging

Monitor cloud applications and infrastructure using Prometheus, Grafana, ELK Stack, AWS CloudWatch, and centralized logging solutions.

10

DevSecOps & Cloud Security

Learn security best practices, IAM policies, secrets management, vulnerability scanning, compliance, and secure CI/CD pipelines.

Prerequisites & Eligibility

Skills & Qualifications

This course is suitable for: • Students • Fresh Graduates • System Administrators • Software Developers

Note: Designed for students, freshers, and IT working professionals aiming to master DevOps (AWS & Multi-Cloud) with commercial project experience and 100% placement support.

Key Competencies Covered

Git & GitHub Jenkins Docker Kubernetes Terraform Helm Prometheus Grafana ELK Stack AWS CloudWatch
Curriculum Breakdown

DevOps (AWS & Multi-Cloud) Syllabus

Comprehensive hands-on modules extracted directly from our official training document.

Module 1 – Linux Administration

Module 1 Topic Coverage (Theory + Live Coding)

Linux Fundamentals
File System
User & Group Management
Permissions
Networking
Shell Scripting
Process Management
Package Management
Includes Hands-On Labs Real-World Practice

Module 2 – AWS Cloud

Module 2 Topic Coverage (Theory + Live Coding)

Cloud Computing Fundamentals
EC2
IAM
VPC
RDS
Lambda
CloudWatch
Auto Scaling
Elastic Load Balancer
Route 53
CloudFormation
Includes Hands-On Labs Real-World Practice

Module 3 – Microsoft Azure

Module 3 Topic Coverage (Theory + Live Coding)

Azure Fundamentals
Virtual Machines
Azure Storage
Azure Networking
Azure Active Directory
Azure App Services
Azure DevOps
Includes Hands-On Labs Real-World Practice

Module 4 – Google Cloud Platform (GCP)

Module 4 Topic Coverage (Theory + Live Coding)

Compute Engine
Cloud Storage
Google Kubernetes Engine (GKE)
Cloud Functions
IAM
Networking
Includes Hands-On Labs Real-World Practice

Module 5 – Version Control

Module 5 Topic Coverage (Theory + Live Coding)

Git
GitHub
Git Workflow
Branching & Merging
Includes Hands-On Labs Real-World Practice

Module 6 – CI/CD

Module 6 Topic Coverage (Theory + Live Coding)

Jenkins Installation
Build Pipelines
Pipeline as Code
Automated Deployment
Continuous Integration
Continuous Delivery
Includes Hands-On Labs Real-World Practice

Module 7 – Docker

Module 7 Topic Coverage (Theory + Live Coding)

Docker Installation
Docker Images
Containers
Dockerfile
Docker Compose
Docker Registry
Includes Hands-On Labs Real-World Practice

Module 8 – Kubernetes

Module 8 Topic Coverage (Theory + Live Coding)

Kubernetes Architecture
Pods
Deployments
Services
ConfigMaps
Secrets
Ingress
Helm Charts
Includes Hands-On Labs Real-World Practice

Module 9 – Infrastructure as Code

Module 9 Topic Coverage (Theory + Live Coding)

Terraform Basics
Providers
Modules
Variables
State Management
AWS Infrastructure Automation
Azure Infrastructure Automation
Includes Hands-On Labs Real-World Practice

Module 10 – Monitoring & Logging

Module 10 Topic Coverage (Theory + Live Coding)

Prometheus
Grafana
ELK Stack
AWS CloudWatch
Logging & Alerting
Includes Hands-On Labs Real-World Practice

Module 11 – DevSecOps

Module 11 Topic Coverage (Theory + Live Coding)

IAM Best Practices
Security Policies
Secrets Management
Vulnerability Scanning
Secure CI/CD
Cloud Security
Includes Hands-On Labs Real-World Practice
Practical Labs

Projects You'll Build

Build commercial portfolio-grade applications during your training.

AWS Multi-Tier Web Application Deployment

Deploy a scalable web application using EC2, Load Balancer, Auto Scaling, RDS, and S3.

Kubernetes Microservices Deployment

Deploy containerized microservices using Docker, Kubernetes, and Helm with auto-scaling and monitoring.

CI/CD Pipeline Automation

Build a complete CI/CD pipeline using GitHub, Jenkins, Docker, and Kubernetes for automated application deployment.

Infrastructure Automation with Terraform

Provision AWS and Azure infrastructure using Terraform modules and Infrastructure as Code.

Multi-Cloud Application Deployment

Deploy and manage applications across AWS, Azure, and Google Cloud Platform using cloud-native services.

Monitoring & Logging Dashboard

Implement centralized monitoring and logging using Prometheus, Grafana, ELK Stack, and AWS CloudWatch.

Got Questions?

We are here to help.

Everything you need to know before enrolling in the DevOps (AWS & Multi-Cloud) program.

01 What is DevOps (AWS & Multi-Cloud)?
DevOps (AWS & Multi-Cloud) is a professional training program that teaches cloud computing, DevOps tools, CI/CD automation, containerization, Infrastructure as Code, monitoring, and multi-cloud deployment using AWS, Azure, and GCP .
02 Who can join this course?
Students, graduates, software developers, system administrators, network engineers, cloud enthusiasts, and working professionals can join this course.
03 Do I need cloud experience before joining?
No. The course starts with Linux and cloud fundamentals, making it suitable for beginners.
04 Which cloud platforms are covered?
The course covers: • Amazon Web Services (AWS) • Microsoft Azure • Google Cloud Platform (GCP)
05 Which DevOps tools will I learn?
You will gain hands-on experience with: • Git & GitHub • Jenkins • Docker • Kubernetes • Terraform • Helm • Prometheus • Grafana • ELK Stack • AWS CloudWatch
06 Will I work on real-time cloud projects?
Yes. Students complete multiple industry-level projects involving CI/CD pipelines, cloud deployment, Kubernetes, infrastructure automation, and monitoring solutions.
07 Is placement assistance provided?
Yes. We provide resume building, mock interviews, real-time project experience, internship opportunities, technical interview preparation, and placement assistance.
08 Will I receive a certificate?
Yes. Students who successfully complete the course and project work will receive a Course Completion Certificate. Internship certificates may also be provided based on the institute's guidelines.
09 Does the course include AWS certification preparation?
Yes. The curriculum is designed to build the practical knowledge required for AWS certification exams while providing hands-on experience with real-world cloud environments.
10 What career opportunities are available after completing this course?
After completing the DevOps (AWS & Multi-Cloud) course, you can pursue roles such as: • DevOps Engineer • AWS Cloud Engineer • Cloud Engineer • Site Reliability Engineer (SRE) • Cloud Infrastructure Engineer • Kubernetes Administrator • Platform Engineer • CI/CD Engineer • Build & Release Engineer • Linux System Administrator • Cloud Automation Engineer • Infrastructure Engineer • DevSecOps Engineer • Solutions Architect (Associate Level) • Cloud Support Engineer

Still have questions about this course?

Speak directly with our senior course advisors to customize your learning path.

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