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☁️ AWS + Azure Together

Multi Cloud Online Training in Hyderabad

Learn AWS and Azure DevOps together — CI/CD, Kubernetes, Terraform on both clouds. Real projects on real accounts. Placement support included. Online batches for India and USA students. ₹30,000 · 3 Months.

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📋 Course Quick Facts

3 Months Duration
₹30,000 Fee
Online Only Mode
8–35 LPA Salary

✅ Free demo · No commitment · Reply in 15 mins

🏆 Architect-Level Trainer
☁️ AWS + Azure Certified
📁 Real Projects on Both Clouds
💼 100% Placement Support
💰 Course Fee: ₹30,000
Best Multi Cloud DevOps Training in Ameerpet

One Cloud is Good. Two Clouds Gets You Hired Faster.

Here is something most training institutes will not tell you: Hyderabad companies do not use just one cloud. A fintech company might run its core banking on Azure — because of Microsoft enterprise agreements — while its data pipelines run on AWS. A product startup might build on AWS but use Azure DevOps for its CI/CD pipelines because the team came from a Microsoft background.

This is exactly why our AWS and Azure DevOps Training in Hyderabad exists — whether you search for AWS with Azure DevOps Training in Hyderabad or Azure with AWS DevOps Training in Hyderabad, this is the course you are looking for. Instead of limiting yourself to one cloud and one pool of jobs — you learn AWS with Azure together in the same 3-month program. The DevOps concepts are the same: CI/CD, containers, Kubernetes, infrastructure as code. What changes is the tooling. Our trainer, who is certified and experienced at architect level on both platforms, teaches you exactly how each cloud handles these concepts — and where they converge.

The result? You can walk into any Hyderabad interview — whether the company runs on AWS, Azure, or both — and answer confidently. That is the real advantage of our Multi Cloud DevOps Course in Hyderabad at our Ameerpet centre.

🌍 Same Course — Other Locations

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Multi Cloud Online Training in Hyderabad

🎯 Who Should Join Our AWS and Azure DevOps Training in Hyderabad?

  • AWS DevOps engineers wanting to add Azure to their profile
  • Azure engineers wanting to add AWS skills
  • Freshers who want maximum job options from day one
  • Working professionals targeting a salary jump through multi-cloud
  • DevOps engineers at companies migrating between clouds
  • Working professionals wanting to upskill with AWS and Azure together
Full Curriculum

What You Will Learn

20 units and 3 hands-on projects covering DevOps on both AWS and Azure — same concept, both implementations.

Stage 1: The DevOps Toolkit

1

DevOps Essentials

▼
  • DevOps culture, principles and the roles in a DevOps team
  • From SDLC to the DevOps lifecycle
  • Continuous Integration, Continuous Delivery and Continuous Deployment
  • The DevOps tools landscape
2

Linux and Windows Administration

▼
  • Linux architecture, file system and directory layout
  • Everyday commands, permissions, users and groups
  • Packages, processes and services
  • Networking commands, SSH and remote access
  • Windows Server and PowerShell essentials
3

Shell Scripting and Automation

▼
  • Variables, user input, conditions, loops and functions
  • grep, awk and sed for text processing
  • Scheduling with cron
  • Real scripts: backups, log cleanup and health checks
4

Version Control with Git

▼
  • Repositories, commits, branches, merging and rebasing
  • Merge conflicts, tags, stash and branching strategies
  • GitHub pull requests and GitLab merge requests
  • Pipelines with GitHub Actions and GitLab CI/CD
  • The complete build-to-deploy cycle with Git
5

Containers with Docker

▼
  • Docker architecture and containers vs virtual machines
  • Images, containers, Dockerfiles and multi-stage builds
  • Volumes, networking and Docker Compose
  • Docker Hub and private registries
6

Orchestration with Kubernetes

▼
  • Control plane and worker node architecture
  • Pods, Deployments, Services, ConfigMaps and Secrets
  • Persistent Volumes, Ingress and Namespaces
  • Scaling, rolling updates, rollbacks and Helm basics
7

Web Servers, API Gateway and Code Quality

▼
  • Nginx as reverse proxy and load balancer, with SSL
  • Deploying Java web apps on Tomcat
  • Kong API Gateway: services, routes, plugins and rate limiting
  • SonarQube: code smells, bugs, vulnerabilities, quality gates and profiles
  • SonarQube checks inside CI/CD pipelines

Stage 2: Cloud Services on AWS and Azure

8

Getting Started on the Cloud

▼
  • Concept: Cloud models (IaaS, PaaS, SaaS), regions, availability zones, shared responsibility
  • Setup — AWS: Account, console, AWS CLI, CloudShell; Azure: Subscriptions, resource groups, portal, Azure CLI, Cloud Shell
  • Compare: How each cloud organizes and bills resources
9

Identity and Secrets

▼
  • Identity — AWS: IAM users, groups, roles, policies, MFA; Azure: Microsoft Entra ID, RBAC, managed identities
  • Secrets and keys — AWS: Secrets Manager, KMS; Azure: Azure Key Vault
10

Networking and DNS

▼
  • Private network — AWS: VPC, public and private subnets, VPC peering; Azure: VNet, subnets, route tables, VNet peering
  • Internet access — AWS: Internet Gateway, NAT Gateway; Azure: Public IPs and outbound access
  • Firewalls — AWS: Security Groups, NACLs; Azure: NSGs
  • DNS — AWS: Route 53; Azure: Azure DNS
11

Compute, Load Balancing and Scaling

▼
  • Virtual machines — AWS: EC2 instance types, AMIs, key pairs, user data; Azure: Virtual Machines, images
  • Disks and backups — AWS: EBS volumes and snapshots; Azure: Managed disks and snapshots
  • Load balancing — AWS: Application and Network Load Balancers, target groups; Azure: Azure Load Balancer, Application Gateway
  • Auto scaling — AWS: Auto Scaling groups, launch templates; Azure: VM Scale Sets
12

Storage and Databases

▼
  • Object storage — AWS: S3 buckets, storage classes, versioning, lifecycle, static hosting; Azure: Storage Accounts, blob containers, access tiers, file shares
  • Databases — AWS: RDS, DynamoDB; Azure: Azure SQL Database, Cosmos DB
13

Serverless and App Hosting

▼
  • Functions — AWS: Lambda with triggers; Azure: Azure Functions with triggers and bindings
  • Messaging — AWS: SNS, SQS
  • Web hosting — Azure: Azure App Service and deployment slots
14

Containers on the Cloud

▼
  • Registry — AWS: ECR; Azure: ACR
  • Serverless containers — AWS: ECS with Fargate; Azure: ACI
  • Managed Kubernetes — AWS: EKS; Azure: AKS
15

Monitoring and Auditing

▼
  • Metrics and logs — AWS: CloudWatch metrics, logs, dashboards, alarms; Azure: Azure Monitor, Log Analytics, Application Insights
  • Audit trail — AWS: CloudTrail; Azure: Activity Log
16

CI/CD Pipelines

▼
  • Concept: Build, test, release and approval stages
  • Native tools — AWS: CodeBuild, CodeDeploy, CodePipeline; Azure: Azure DevOps: Repos, YAML Pipelines, agents, service connections, environments, approvals
  • Common tools: GitHub Actions and GitLab CI deploying to both clouds

Stage 3: Automation, Monitoring and AI

17

Infrastructure as Code with Terraform

▼
  • How Infrastructure as Code works
  • AWS and AzureRM providers in one project
  • Resources, variables, outputs and data sources
  • Remote state on S3 and Azure Storage
  • Reusable multi-cloud modules and workspaces
  • Running Terraform from GitHub Actions, GitLab CI and Azure DevOps
18

Observability with Prometheus and Grafana

▼
  • Prometheus architecture, exporters and PromQL
  • Alertmanager and alert rules
  • One Grafana dashboard for EKS, AKS and cloud VMs
19

Multi-Cloud Design and Cost

▼
  • AWS and Azure service mapping cheat sheet
  • Picking the right cloud for each workload
  • Comparing costs, setting budgets and cost alerts on both clouds
  • Security best practices across both clouds
20

AI in Daily DevOps Work

▼
  • Basics of AI-Ops, Gen AI and prompt engineering
  • Writing scripts, Dockerfiles, pipelines and Terraform with Claude Sonnet
  • Fixing pipeline and Kubernetes errors with AI help
  • AI agents for everyday DevOps tasks

Projects

21

Hands-On Projects

▼
  • Same app on two clouds: Host the course website on EC2 behind an ALB with target groups, Route 53 and EBS snapshots on AWS, and on Azure VMs behind Application Gateway with Azure DNS, then compare the two setups
  • Containers and pipelines on both clouds: Containerize the app, push images to ECR and ACR, and deploy to EKS and AKS through GitHub Actions and Azure DevOps with SonarQube checks and secrets from Secrets Manager and Key Vault
  • Terraform-built multi-cloud platform: Provision the full infrastructure on AWS and Azure with Terraform, add a Lambda and an Azure Function, and monitor everything with CloudWatch, CloudTrail, Azure Monitor and Grafana
AWS vs Azure

AWS vs Azure DevOps — What You Learn on Each

Same DevOps concepts, different tools. Our Multi Cloud Training in Hyderabad covers both platforms side by side.

DevOps AreaAWSAzure
CI/CD PipelinesJenkins + GitHub Actions + CodePipelineAzure DevOps Pipelines + GitHub Actions
ContainersECS, EKS (Kubernetes)ACI, AKS (Kubernetes)
Infrastructure as CodeTerraform + CloudFormationTerraform + ARM Templates + Bicep
Container RegistryAmazon ECRAzure Container Registry (ACR)
MonitoringCloudWatch + Prometheus + GrafanaAzure Monitor + Log Analytics
Secrets ManagementAWS Secrets ManagerAzure Key Vault
ServerlessAWS LambdaAzure Functions
NetworkingVPC + Security GroupsVNet + NSG
Hyderabad Job Market

Which Hyderabad Companies Use AWS + Azure Both?

Multi-cloud is not a buzzword in Hyderabad — it is the reality at most large IT companies and product startups.

🏦

BFSI & Fintech

Banks and fintech companies in Hyderabad run core banking on Azure (Microsoft enterprise deals) while data analytics runs on AWS. Multi-cloud engineers are mandatory here.

🛒

E-Commerce & Retail

Large e-commerce platforms use AWS for compute and CDN, Azure for ERP integration and Active Directory. DevOps engineers need both.

🏥

Healthcare & Pharma

Pharma companies in Cyberabad use Azure for compliance workloads while R&D data pipelines run on AWS. Multi-cloud knowledge is a differentiator.

💻

IT Services (TCS, Infosys, Wipro)

Large IT companies in Hi-Tec City serve clients on both AWS and Azure. Being proficient on both makes you billable on more projects — higher salary.

🚀

Product Startups

Hi-Tec City and Gachibowli startups often start on AWS and add Azure when enterprise clients demand it. Multi-cloud DevOps engineers handle this transition.

🌐

MNCs (Microsoft, Google, Amazon)

MNC offices in Hyderabad specifically look for engineers who understand multi-cloud architecture — for internal platform teams and client projects.

Our Multi Cloud DevOps Course in Hyderabad is designed around these exact use cases — so when you walk into an interview at any of these companies in Hi-Tec City, Gachibowli, Madhapur, or Kondapur, you know exactly what they are running and why.

Multi Cloud Tech Stack

Tools You Will Master on AWS and Azure

Everything covered in our Best Multi Cloud DevOps Training in Ameerpet is industry-standard and used by companies hiring right now.

CI/CD

Jenkins GitHub Actions Azure DevOps GitLab CI

Containers & K8s

Docker AWS EKS Azure AKS Helm Trivy

AWS Services

EC2 VPC IAM S3 CloudWatch ECR

Azure Services

Azure VMs VNet Azure AD Blob Storage Azure Monitor ACR

IaC

Terraform Terragrunt ARM Templates Bicep Ansible

Monitoring & Security

Prometheus Grafana AWS Secrets Manager Azure Key Vault ELK Stack
Hands-On Projects

Real Projects on Both AWS and Azure

Every project is built on real AWS and Azure accounts — not shared demo environments.

🏗️

Multi-Cloud CI/CD Pipeline

Build a single GitHub Actions pipeline that deploys to both AWS EKS and Azure AKS simultaneously — real multi-cloud delivery.

🐳

Kubernetes on Both Clouds

Deploy the same microservices application on AWS EKS and Azure AKS using identical Helm charts — understanding where each cloud differs.

🌍

Terraform Multi-Cloud IaC

Write Terraform code that provisions identical infrastructure on both AWS and Azure from a single codebase using workspace separation.

📊

Unified Monitoring Dashboard

Set up Grafana pulling metrics from both CloudWatch (AWS) and Azure Monitor — single pane of glass for multi-cloud observability.

🔒

Multi-Cloud DevSecOps

Integrate Trivy scanning, AWS Secrets Manager + Azure Key Vault, and SAST into a single pipeline targeting both clouds.

🚀

Disaster Recovery Across Clouds

Design and implement a DR strategy — primary workload on AWS, failover on Azure — with automated traffic switching.

Career Outlook

Multi Cloud DevOps Salaries in Hyderabad — 2026

Multi-cloud engineers consistently earn more than single-cloud engineers in Hyderabad.

ExperienceRoleHyderabad Salary
Fresher (0–1 yr)Junior Multi Cloud Engineer₹5–9 LPA
1–3 YearsMulti Cloud DevOps Engineer, Platform Engineer₹9–18 LPA
3–5 YearsSenior Multi Cloud Engineer, SRE₹18–28 LPA
5+ YearsMulti Cloud Architect, DevOps Lead₹28–35+ LPA

Graduates of our Multi Cloud DevOps Training with Placement in Hyderabad are placed at companies across Hi-Tec City and Gachibowli that run workloads on both AWS and Azure. See our placement support page for full details.

Start Your Multi Cloud DevOps Career — Book Free Demo Today

₹30,000 · 3 Months · Online Only · AWS + Azure Together · Placement Support Included.

WhatsApp for Free Demo Call 9885543638

Ameerpet, Hyderabad, India · Online Batches for USA & India Students

FAQ

Frequently Asked Questions

AWS and Azure DevOps Training in Hyderabad covers DevOps tools and practices on both clouds — CI/CD, Kubernetes, Terraform, Docker, Jenkins, GitHub Actions. Our course teaches you how companies actually use two clouds together, making you more hireable than single-cloud engineers. Fee: Rs.30,000, Duration: 3 months, Online only.

Most Hyderabad companies use more than one cloud — this is what multi cloud means in practice. AWS with Azure knowledge means you can work at any company regardless of their cloud preference, doubling your job opportunities. Multi Cloud DevOps engineers consistently earn 20-30% more than single-cloud engineers in Hyderabad.

The course fee is Rs.30,000 for the complete 3-month Multi Cloud DevOps program. This includes AWS and Azure hands-on lab access, real project guidance, and 100% placement support. No hidden charges. Call or WhatsApp 9885543638.

Yes! Our Best Multi Cloud DevOps Training in Ameerpet starts from fundamentals. Basic Linux knowledge is enough. Students from Kukatpally, KPHB, Gachibowli, Madhapur, Kondapur, Secunderabad, Dilsukhnagar, and across Hyderabad have completed this course and got placed.

After our Multi Cloud DevOps Training with Placement in Hyderabad, you can target: Multi Cloud DevOps Engineer, Cloud Platform Engineer, Site Reliability Engineer, DevOps Lead. Companies in Hi-Tec City and Gachibowli pay 8-35 LPA for multi-cloud engineers.

Yes! Our Best Multi Cloud DevOps Training in Ameerpet is fully online — students from Kukatpally, KPHB, Gachibowli, Hi-Tec City, Madhapur, Kondapur, Secunderabad, Dilsukhnagar, and all parts of Hyderabad join our live online batches from home. Same trainer, same real projects on AWS and Azure, same placement support.

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AWS and Azure DevOps Training in Hyderabad · ₹30,000 · Online Only · 3 Months

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