Multi-Cloud DevOps Online Training in Hyderabad
Learn DevOps on AWS and Azure together — Linux, Git, Docker, Kubernetes on EKS and AKS, CI/CD on both clouds, Terraform, Prometheus and Grafana, plus AI for DevOps — in live online classes.
G4.7★★★★★on Google 700+ students trained- Duration
- 3 Months
- Mode
- Live Online
- Batches
- Weekday & Weekend
- Hands-on
- 3 multi-cloud projects
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About Multi-Cloud DevOps Online Training
Most companies no longer run on one cloud. A product might sit on AWS while the company's Microsoft workloads and identity live on Azure, or a client might ask for the same setup on both. Our Multi-Cloud DevOps training in Hyderabad teaches DevOps on AWS and Azure together, so you can work on either side of that setup, in live online classes you can join from anywhere.
Course highlights
- AWS and Azure side by sideEvery cloud topic is taught on both platforms, so you learn the idea once and the two ways to do it.
- Three multi-cloud projectsThe same app on EC2 and Azure VMs, containers on EKS and AKS, and full infrastructure with Terraform.
- Complete DevOps toolchainLinux, shell, Git, Docker, Kubernetes, Nginx, Kong, SonarQube, Terraform, Prometheus and Grafana.
- AI for DevOpsUse AI to write scripts, Dockerfiles, pipelines and Terraform, and to fix pipeline and Kubernetes errors.
Skills you’ll learn
How the Course Is Taught
For each cloud topic we first explain the idea — networking, identity, virtual machines, storage, containers, monitoring — and then build it on AWS and on Azure one after the other. You see that a VPC and a VNet, or an ALB and an Application Gateway, solve the same problem in slightly different ways. That makes the second cloud much easier to learn and helps you answer "AWS vs Azure" questions in interviews.
The DevOps toolchain sits on top: Git, Docker, Kubernetes, CI/CD with GitHub Actions, GitLab, AWS CodePipeline and Azure DevOps, and Terraform with both the AWS and AzureRM providers in a single project.
Why Multi-Cloud Skills Pay Off
Job descriptions for DevOps and cloud engineers increasingly list both AWS and Azure. Engineers who can only work on one cloud are limited to half the openings. A multi-cloud DevOps course gives you both, plus the Terraform and Kubernetes skills that work the same way across clouds.
Who Should Join This Multi-Cloud DevOps Course?
The course starts from DevOps basics and Linux, so it works for beginners as well as people who already know one cloud.
Freshers and Career Changers
Graduates and professionals from support, testing or other IT roles who want a complete DevOps and cloud foundation in one course.
AWS or Azure Engineers
You know one cloud already. Learn the other one and the tools that work across both, and become eligible for multi-cloud roles.
System and Network Admins
Linux and Windows admins who want to move into cloud infrastructure, containers and CI/CD.
Developers
Developers who want to own the build-to-deploy path for their applications on AWS and Azure.
Prerequisites for Multi-Cloud DevOps Training
No cloud experience is needed. These help:
- Basic computer and networking knowledge — what an IP address and a port are
- Willingness to work in the Linux command line (we teach it from scratch)
- Any programming or scripting exposure is useful but not required
- Free-tier AWS and Azure accounts for labs (we help you set them up)
Multi-Cloud DevOps Course Syllabus
The 3-month syllabus runs in 24 modules. It starts with DevOps concepts, Linux, shell scripting, Git, Docker, Kubernetes, Nginx, Tomcat, Kong and SonarQube. Then come the cloud modules, each taught on AWS and Azure: identity, networking, VMs, load balancing, storage and databases, serverless, secrets, containers, monitoring and CI/CD. The course finishes with Terraform for multi-cloud, Prometheus and Grafana, multi-cloud architecture and cost, AI for DevOps and three real-time projects.
- What is DevOps, DevOps culture and principles
- SDLC vs the DevOps life cycle
- Continuous Integration, Continuous Delivery and Continuous Deployment
- DevOps tools and roles in a DevOps team
- Linux architecture and directory structure
- Linux commands, file permissions, users and groups
- Packages, processes and services
- Networking commands, SSH and remote access
- Windows Server and PowerShell basics
- Variables, user input, conditions, loops and functions
- Text processing with grep, awk and sed
- Job scheduling with cron
- Scripts for backups, log cleanup and health checks
- Repositories, commits, branches, merging and rebasing
- Merge conflicts, tags, stash and branching strategies
- GitHub pull requests and GitLab merge requests
- CI/CD with GitHub Actions and GitLab
- Build-to-deploy cycle with Git
- Docker architecture, containers vs virtual machines
- Images, containers, Dockerfile and multi-stage builds
- Volumes, networking and Docker Compose
- Docker Hub and private registries
- Control plane and worker node architecture
- Pods, Deployments, Services, ConfigMaps and Secrets
- Persistent Volumes, Ingress and Namespaces
- Scaling, rolling updates, rollbacks and Helm
- Nginx reverse proxy, load balancing and SSL
- Java web app deployment on Tomcat
- Kong API Gateway: services, routes, plugins and rate limiting
- Code smells, bugs and vulnerabilities
- Quality gates and quality profiles
- SonarQube in CI/CD pipelines
- Cloud models (IaaS, PaaS, SaaS), regions, availability zones and shared responsibility
- AWS: account, console, AWS CLI and CloudShell
- Azure: subscriptions, resource groups, portal, Azure CLI and Cloud Shell
- How AWS and Azure organize and bill resources
- Users, roles, permissions and least privilege
- AWS: IAM users, groups, roles, policies and MFA
- Azure: Microsoft Entra ID, RBAC and managed identities
- Private networks, subnets, routing, firewalls and DNS
- AWS: VPC, subnets, Internet and NAT Gateways, Security Groups, NACLs, VPC peering and Route 53
- Azure: VNet, subnets, route tables, NSGs, VNet peering and Azure DNS
- VMs, images, disks and backups
- AWS: EC2 instance types, AMIs, key pairs, user data, EBS volumes and snapshots
- Azure: Virtual Machines, images, managed disks and snapshots
- Traffic distribution and scaling on demand
- AWS: ALB, NLB, target groups, Auto Scaling groups and launch templates
- Azure: Azure Load Balancer, Application Gateway and VM Scale Sets
- Object storage, managed SQL and NoSQL databases
- AWS: S3 buckets, storage classes, versioning, lifecycle and static hosting; RDS and DynamoDB
- Azure: Storage Accounts, blob containers, access tiers and file shares; Azure SQL Database and Cosmos DB
- Event-driven functions and managed web hosting
- AWS: Lambda with triggers; SNS and SQS
- Azure: Azure Functions with triggers and bindings; App Service with deployment slots
- Keeping secrets, keys and certificates safe
- AWS: Secrets Manager and KMS
- Azure: Azure Key Vault
- Container registries, serverless containers and managed Kubernetes
- AWS: ECR, ECS with Fargate and EKS
- Azure: ACR, ACI and AKS
- Metrics, logs, alerts and audit trails
- AWS: CloudWatch metrics, logs, dashboards and alarms; CloudTrail
- Azure: Azure Monitor, Log Analytics, Application Insights and Activity Log
- Build, test, release and approval stages
- AWS: CodeBuild, CodeDeploy and CodePipeline
- Azure: Azure DevOps Repos, YAML pipelines, agents, service connections, environments and approvals
- GitHub Actions and GitLab CI deploying to both clouds
- Infrastructure as Code basics
- AWS and AzureRM providers in a single project
- Resources, variables, outputs and data sources
- Remote state on S3 and Azure Storage
- Reusable modules and workspaces
- Terraform runs from GitHub Actions, GitLab CI and Azure DevOps
- Prometheus architecture, exporters and PromQL
- Alertmanager and alert rules
- A single Grafana dashboard for EKS, AKS and cloud VMs
- AWS to Azure service mapping
- Choosing the right cloud for each workload
- Cost comparison, budgets and cost alerts
- Security best practices on both clouds
- AI-Ops, Gen AI and prompt engineering basics
- Scripts, Dockerfiles, pipelines and Terraform with Claude Sonnet
- Fixing pipeline and Kubernetes errors with AI
- AI agents for daily DevOps tasks
- 1. One application on AWS and Azure: Run the course website on EC2 behind an ALB with target groups, Route 53 and EBS snapshots, and on Azure VMs behind Application Gateway with Azure DNS, and compare both
- 2. Containers and CI/CD on both clouds: Push images to ECR and ACR and deploy to EKS and AKS using GitHub Actions and Azure DevOps, with SonarQube checks and secrets from Secrets Manager and Key Vault
- 3. Multi-cloud infrastructure with Terraform: Build the full setup on AWS and Azure with Terraform, add a Lambda and an Azure Function, and monitor with CloudWatch, CloudTrail, Azure Monitor and Grafana
Multi-Cloud DevOps Real-Time Projects
Each project runs on both clouds, so you finish with work you can show for AWS and for Azure.
One Application on AWS and Azure
Run the course website on EC2 behind an ALB with Route 53 and EBS snapshots, and on Azure VMs behind Application Gateway with Azure DNS, then compare the two.
Containers and CI/CD on Both Clouds
Push images to ECR and ACR and deploy to EKS and AKS with GitHub Actions and Azure DevOps, with SonarQube checks and secrets from Secrets Manager and Key Vault.
Multi-Cloud Infrastructure With Terraform
Build the full setup on AWS and Azure with Terraform, add a Lambda and an Azure Function, and monitor with CloudWatch, CloudTrail, Azure Monitor and Grafana.
Labs in Every Module
Hands-on labs on both clouds throughout the course, so the projects reuse what you have already built.
Multi-Cloud DevOps With AI
The AI for DevOps module shows how DevOps engineers use AI day to day: drafting shell scripts, Dockerfiles, YAML pipelines and Terraform with Claude, reading failed pipeline logs and Kubernetes errors, and using AI agents for routine tasks. You also learn to check what the AI produces, because a wrong security group rule or IAM policy can be expensive on any cloud.
Career Opportunities After Multi-Cloud DevOps Training
Multi-cloud skills open both AWS and Azure roles. Typical roles after this course:
We help you prepare a resume that shows both clouds clearly, run mock interviews on AWS, Azure and DevOps questions, and support you with placement assistance after the course.
Multi-Cloud DevOps Course Fee and Batches
The Multi-Cloud DevOps course fee depends on the batch type and current offers. Call us on +91 90327 34343 or message us on WhatsApp for the exact fee and the next batch date. EMI is available.
All batches are live online with weekday and weekend options. Every class is recorded, so you can catch up if you miss one, and students joining from the USA, UK or Canada get time slots that suit their time zone.
Why Learn Multi-Cloud DevOps at VR IT Solutions?
Two Clouds Without Doubling the Effort
Teaching AWS and Azure side by side saves time: you learn each concept once and the two ways to build it.
Real Projects on Your Own Accounts
You build the projects on your own AWS and Azure accounts and keep the code in your own Git repository.
Live Online With Recordings
Live classes with questions answered on the spot, recordings of every session, and backup classes when needed.
Interview and Job Support
Resume help, mock interviews and placement assistance, and support from our trainers when you start working.
From your first class to your first project at work
We stay with you after the course ends — through interviews, placement, and your first months on the job.
- Free demo classMeet the trainer and see how classes run before you pay.
- Live trainingLive online classes, with hands-on practice every session.
- Real-time projectWork through a real implementation scenario from start to finish.
- Course certificateGet your course completion certificate from VR IT Solutions.
- Resume & mock interviewsResume review and practice interviews with experienced professionals.
- Placement assistanceInterview referrals and guidance until you get placed.
- Job supportStuck on a task in your new job? Our trainers help you solve it.
What our students say on Google
G4.7★★★★★See all reviews on GoogleHi I'm Dasararh
I have Join VRIT Solutions to transform my future. VRIT is the right place to sharpen your Salesforce training skills while gaining cutting-edge experience through real time examples and live projects. Faculty covered in real time examples and practical oriented I joined this course in 2025 and now working in a reputed healthcare company.I would strongly recommended to chose VR IT Solutions for Salesforce online training .
Thanks again for VR IT .
One of the top institutes for training, with faculty member Ashok Kumar being highly knowledgeable in the subject.
VR IT Solutions is one of the best training center for Clinical SAS in Hyderabad.I recently completed SAS training at VR IT Solutions, and it was an excellent experience...
The course covered Base SAS, SQL, Macros, and SDTM/ADaM mapping basics, especially for advanced topics like SAS Macros, making complex concepts easy to understand. which are extremely valuable for anyone aiming to build a career in Clinical SAS programming.
I highly recommend VR IT Solutions to anyone looking to build or advance their SAS career.
Preparing for Multi-Cloud DevOps interviews?
Read free interview questions and real-time scenarios with answers. Our students get all 181+ in the Job Ready Hub.
Batch timings
Pick a slot that fits around college or work. New batches start every month.
Book your slot- Morning7 – 9 AM
- Afternoon12 – 2 PM
- Evening6 – 8 PM
- WeekendSat & Sun
- Fast trackOn request
- One-to-one training
- Backup classes
- Free resume preparation
- Mock interviews
- Job support
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Get your course completion certificate
- Issued by VR IT Solutions when you complete the course and the real-time project
- Every certificate has its own certificate ID
- Add it to your resume and LinkedIn profile
Multi-Cloud DevOps Online Training in USA, UK & Canada
Looking for Multi-Cloud DevOps online training from the USA, UK or Canada? Join our live online batches from anywhere — classes run in time slots that suit your time zone, every session is recorded for revision, and you get the same real-time project, certificate and placement support as our Hyderabad students.
- USAEST & PST evening slots
- UKGMT / BST slots
- CanadaEST & CST slots
- WeekendSat & Sun, all time zones
Visit our Ameerpet centre
- 506/A, Aditya Enclave, Nilagiri Block, 5th Floor, Ameerpet, Hyderabad – 500016
- Monday to Saturday, 9 AM – 7 PM
- +91 90327 34343
- info@vritsol.com
Multi-Cloud DevOps Training FAQs | VR IT Solutions
It means building, deploying and running applications on more than one cloud. This course covers DevOps on AWS and Azure together, with tools such as Docker, Kubernetes and Terraform that work across both.
It is live online only, with weekday and weekend batches. Every session is recorded for revision.
The course runs for 3 months in 24 modules, including three real-time projects.
No. Every cloud topic starts from the basics and is taught on AWS and Azure side by side.
Yes. Terraform is taught with both the AWS and AzureRM providers in one project, and Kubernetes is covered on its own and on EKS and AKS.
Yes. The AI for DevOps module covers using AI to write scripts, Dockerfiles, pipelines and Terraform, fixing pipeline and Kubernetes errors, and AI agents for daily DevOps tasks.
Absolutely. VR IT Solutions offers free demo sessions for all courses. You can attend a live class, interact with the trainer, and get a feel for the training quality before making any commitment. Just reach out to our team and we will schedule one for you.
We provide end-to-end placement assistance — from building a job-ready resume to conducting mock interviews with industry experts. Our team actively shares job openings, refers students to hiring companies, and supports you until you land your first role.
Yes. Every trainer at VR IT Solutions has between 8 and 13 years of hands-on industry experience. They have worked on real enterprise projects and bring that practical knowledge directly into the classroom, which makes a significant difference when you face real job interviews.
Course Training
Industry-certified · Real-time projects · 100% Placement Support
Call us: +91-9032734343