RexGalaxy Academy
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4.8 learner satisfaction
2,500+ enrolments guided

Microsoft Azure Cloud Computing Course

Build job-ready Microsoft Azure skills through practical training in cloud infrastructure, identity, governance, storage, compute, networking, DevOps, security, automation, and architecture.

Trusted by learners across Noida and NCR
Practical training with portfolio-ready delivery
Structured support for interviews and career transition
RexGalaxy Academy

RexGalaxy Academy

Structured training, practical implementation, and career-focused learning support for serious learners.

Course Duration

8 Months

Category

Cloud & DevOps / Microsoft Azure

Training Focus

Practical learning, guided modules, projects, and interview readiness.

About Course

What You Will Learn

Professional Training for Microsoft Azure

This practical Microsoft Azure program prepares students for cloud support, administration, DevOps, infrastructure, and architecture careers. Learn Azure portal, Entra ID, RBAC, policies, storage, SQL, Cosmos DB, virtual machines, App Service, Functions, VNets, NSGs, Bastion, Load Balancer, AKS, DevOps, monitoring, backup, Bicep, and Azure architecture.


Why join this program

• Covers Azure fundamentals, identity, governance, storage, databases, compute, app hosting, networking, containers, DevOps, monitoring, backup, security, automation, architecture, migration, cost, and certification direction

• Builds hands-on confidence through guided Azure labs and portfolio projects

• Connects portal, CLI, PowerShell, ARM/Bicep, operations, and cloud design


Training approach

Learn by doing through guided practice, module assignments, project work, doubt support, and repeated practical explanation.

Modules

Detailed Course Curriculum

Module 1

Azure & Cloud Foundations

• Azure cloud concepts and services

• Azure account and subscription basics

• Azure portal navigation

• Azure CLI and PowerShell basics

• Cloud resource organization

• Lab foundation for later modules

Module 2

Identity, Access & Governance

• Microsoft Entra ID

• Authentication and authorization

• Role-Based Access Control (RBAC)

• Azure Policy and resource locks

• Governance, tagging, and standards

• Secure access setup

Module 3

Azure Storage & Databases

• Storage accounts

• Blob, file, queue, and table storage

• Azure SQL and Cosmos DB overview

• Managed database services

• Backup and data workload foundations

• Storage security and lifecycle basics

Module 4

Azure Compute & App Hosting

• Azure Virtual Machines

• App Service and web apps

• Azure Functions and serverless computing

• Compute sizing and scalability

• Application deployment options

• Best practices for resilient hosting

Module 5

Azure Networking

• Virtual Networks and subnets

• Network Security Groups (NSGs)

• DNS, routing, and private access

• Azure Bastion and secure administration

• Load Balancer and traffic flow

• Network design fundamentals

Module 6

Containers, Kubernetes & DevOps

• Container fundamentals

• Azure Kubernetes Service (AKS)

• Azure DevOps workflows

• CI/CD pipelines

• Application packaging and deployment

• Automated builds and releases

Module 7

Security, Monitoring & Operations

• Azure Monitor and Log Analytics

• Alerts and observability

• Backup and recovery

• Incident response

• Security controls

• Administration runbooks

Module 8

Infrastructure as Code & Automation

• ARM templates and Bicep

• Azure CLI and PowerShell automation

• Repeatable infrastructure workflows

• Provisioning and configuration automation

• Templates, scripts, and standards

• Operational efficiency

Module 9

Architecture, Migration & Hybrid Azure

• Azure architecture principles

• Hybrid cloud patterns

• Migration services and planning

• Resilience and availability design

• Cost awareness and resource optimization

• Solution design foundations

Module 10

Portfolio, Certification & Interview Prep

• Guided portfolio projects

• Azure role-based project evidence

• Certification direction

• Revision and practical assessments

• Interview discussion preparation

• Career readiness for cloud support and Azure roles

Conclusion

Build Your Career with Microsoft Azure

By the end of this Microsoft Azure course, students can build secure Azure environments, configure identity and governance, deploy applications across storage, compute, app services, and networking, and operate workloads through monitoring, backup, automation, and architecture runbooks.


What students build

• Azure account, governance, and secure access setup

• Real deployments across storage, compute, apps, and networking

• Monitoring, backup, automation, and architecture runbooks

• Portfolio projects for cloud support and Azure role discussions


Turn Azure skills into project evidence, certification direction, and career readiness.

Trusted Learning

Industry-oriented training backed by guided mentorship.

Upcoming Batches

Flexible schedules for students, freshers, and working professionals.

Mentor Support

Regular doubt handling and learning guidance throughout the course.

Career Focus

Projects, interview readiness, and placement-oriented preparation.

Learning Support

A Clear Path From Enquiry To Learning

Every course detail page follows a simple path: understand the course, speak with our team, access the curriculum, and plan your batch with clarity.

Who Should Join

Beginners, graduates, working professionals, and career switchers who want structured learning with practical execution.

Training Approach

Concept clarity, guided practice, assignments, live examples, and project-based implementation in every phase of the course.

Support Beyond Classes

Session recordings, mentor assistance, interview preparation, and admission guidance to help you stay consistent.

Need Help Choosing The Right Batch?

Speak with our counsellor and get clarity on curriculum, timing, and admission support.

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Testimonials

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I enrolled in the Generative AI course at Rex Galaxy Academy, Noida. The prompt engineering modules and real-world AI projects were extremely practical. Within 3 months, I was able to build AI automation workflows confidently.

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