School of Cloud & DevOps Engineering · Intermediate

Microsoft Azure Cloud Engineering Course

Build enterprise-ready Azure cloud skills across identity, networking, apps, data, security, architecture and infrastructure as code.

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Microsoft Azure Cloud Engineering course illustration at Brightnest AI Academy
Azure Foundations, Identity and GovernanceAzure NetworkingCompute, Apps, Containers and ServerlessStorage and Data Services
Microsoft AzureEntra IDAzure CLIAzure VNetNSG
Duration10–12 weeks76 hours
Batch startsConfirm with admissionsOpen for registration
Learning formatLive mentor-led instruction, guided labs, assignments, feedback and project reviewsLive online / classroom
Curriculum8 modulesLabs and assessed capstone
Portfolio2 projectsPlus module evidence
LevelIntermediateCourse level
PathwayCloud & DevOps EngineerRelated career pathway

How you will learn

Live instructor-led sessions that connect concepts to real workplace decisions.
Guided labs and workshops in every module.
Assignments, checkpoints and practical feedback.
Portfolio documentation, demonstrations and capstone review.
Access to recordings and LMS resources according to the published batch policy.
Career preparation based on completed work and target roles.
Course curriculum

What you will learn, module by module

Build and manage enterprise cloud solutions on Microsoft Azure. Progress from Azure Foundations, Identity and Governance to Azure Cloud Engineering Capstone through guided labs, assessed projects, and portfolio evidence.

01Module 1 · 6 hoursAzure Foundations, Identity and GovernanceCreate a governed Azure landing zone starter with RBAC, policy and tagging.
Topics you will cover
  • Subscriptions
  • Resource groups
  • Regions
  • Microsoft Entra ID
  • RBAC
  • Managed identities
  • Policies
Tools and platforms
Microsoft Azure, Entra ID, Azure CLI
Portfolio evidence
Azure governance baseline
Assessment
Foundations checkpoint
02Module 2 · 10 hoursAzure NetworkingBuild a segmented VNet architecture with secure application and data subnets.
Topics you will cover
  • VNets
  • Subnets
  • NSGs
  • Routing
  • Peering
  • DNS
  • Load balancers
Tools and platforms
Azure VNet, NSG, Load Balancer/Application Gateway
Portfolio evidence
Azure network design
Assessment
Networking lab
03Module 3 · 10 hoursCompute, Apps, Containers and ServerlessDeploy a web API using managed app, serverless and container patterns and compare operations.
Topics you will cover
  • Virtual Machines
  • App Service
  • Functions
  • Container Apps/AKS concepts
  • Scaling
  • Images
  • Workload placement decisions
Tools and platforms
Azure VM, App Service, Functions, AKS/Container Apps concepts
Portfolio evidence
Azure deployment comparison
Assessment
Compute review
04Module 4 · 8 hoursStorage and Data ServicesCreate a secure storage/database design and implement backup/access controls.
Topics you will cover
  • Blob Storage
  • Files/disks concepts
  • Azure SQL
  • Cosmos DB concepts
  • Redundancy
  • Backup
  • Encryption
Tools and platforms
Azure Storage, Azure SQL, Cosmos DB concepts
Portfolio evidence
Azure data layer
Assessment
Data services lab
05Module 5 · 8 hoursArchitecture, Availability and Business ContinuityDesign a resilient multi-tier workload with recovery objectives and failover plan.
Topics you will cover
  • Availability zones/sets
  • Scale sets
  • Traffic distribution
  • Backup
  • Site recovery concepts
  • RTO/RPO
  • Resilient architecture
Tools and platforms
Azure architecture services
Portfolio evidence
Azure resilience plan
Assessment
Architecture case
06Module 6 · 8 hoursSecurity, Monitoring and OperationsConfigure monitoring, secrets and alerts for a sample application environment.
Topics you will cover
  • Defender for Cloud concepts
  • Key Vault
  • Monitor
  • Log Analytics
  • Alerts
  • Diagnostics
  • Update/patch strategy
Tools and platforms
Azure Monitor, Log Analytics, Key Vault
Portfolio evidence
Azure operational dashboard
Assessment
Operations lab
07Module 7 · 10 hoursInfrastructure as Code and AutomationDeploy a repeatable environment using Bicep or Terraform through CI/CD.
Topics you will cover
  • Bicep/ARM concepts
  • Terraform
  • Deployment stacks
  • GitHub Actions/Azure DevOps integration
  • Configuration
  • Policy-as-code
  • Cost controls
Tools and platforms
Bicep/Terraform, GitHub Actions/Azure DevOps
Portfolio evidence
Automated Azure environment
Assessment
IaC assessment
08Module 8 · 16 hoursAzure Cloud Engineering CapstoneBuild and defend a production-ready Azure solution aligned to well-architected principles.
Topics you will cover
  • End-to-end design
  • Identity
  • Network
  • Compute
  • Data
  • Security
  • Monitoring
Tools and platforms
Microsoft Azure, IaC, GitHub
Portfolio evidence
Azure architecture + deployment portfolio
Assessment
Capstone presentation
Applied portfolio

Projects you will build

2 portfolio projects plus module evidence

Portfolio project 1

Secure Azure Enterprise Application

Deploy a resilient application with VNet, managed identity, app/data services, monitoring and IaC.

Architecture · Bicep/Terraform · deployed resources · operations guide
Portfolio project 2

Azure Landing Zone Starter

Create governed subscriptions/resource groups, identity, policy, networking and logging baseline.

Governance design · IaC · policy set · monitoring dashboard
Course value

Why this course

Azure capability is demonstrated by secure identity, governed resources, resilient applications, repeatable deployment, cost awareness, and operational evidence—not console screenshots.

The curriculum progresses from Azure Foundations, Identity and Governance to Azure Cloud Engineering Capstone, with guided labs, assessments, and two portfolio projects: Secure Azure Enterprise Application and Azure Landing Zone Starter.

Course fit

Who this course is for

IT professionals, administrators and developers building Microsoft Azure cloud skills.

IntermediateCloud & DevOps Engineer
PrerequisitesLearners should understand basic networking and operating-system concepts. No prior Azure experience is required.
Practical capabilities

What you will be able to do

  • Create a governed Azure landing zone starter with RBAC, policy and tagging.
  • Build a segmented VNet architecture with secure application and data subnets.
  • Deploy a web API using managed app, serverless and container patterns and compare operations.
  • Create a secure storage/database design and implement backup/access controls.
  • Design a resilient multi-tier workload with recovery objectives and failover plan.
  • Deploy a repeatable environment using Bicep or Terraform through CI/CD.
  • Build and defend a production-ready Azure solution aligned to well-architected principles.
Tools and platforms

Technology you will use in this course

Microsoft AzureEntra IDAzure CLIAzure VNetNSGLoad BalancerApplication GatewayAzure VMApp ServiceFunctionsAKSContainer Apps conceptsAzure StorageAzure SQLCosmos DB conceptsAzure architecture services
Career relevance

Cloud & DevOps Engineer

This course supports the development of skills relevant to roles such as Azure Cloud Engineer, Azure Administrator, and Solutions Architect pathway. The strongest learner outcome is a portfolio that shows the problem, implementation, testing or evaluation, documentation and a clear explanation of decisions—not a certificate alone.

Course evidence and instruction

Academy advisor

Ranjeet Kumar

Advisor, Brightnest AI Academy · Innovation & Growth Leader

A technologist and data leader with 15+ years of experience applying data, artificial intelligence and machine learning to complex problems, scalable products and business growth.

What our learners say

Learner experience

The cloud labs gave me evidence I could discuss in interviews—from networking and Linux to Docker, monitoring and deployment decisions.
Rahul VermaCloud Operations Professional · Technology Services

Industry and technology ecosystem

MicrosoftAmazon Web ServicesDeloitteTech MahindraTata Consultancy ServicesWipro
Course FAQs

Clear answers before you enrol

Build enterprise-ready Azure cloud skills across identity, networking, apps, data, security, architecture and infrastructure as code.

Is the Azure Cloud Engineering course suitable for beginners?

This is an intermediate-level course. Learners should understand basic networking and operating-system concepts. No prior Azure experience is required.

What will I build during the course?

You will complete guided labs in every module and build two portfolio projects: Secure Azure Enterprise Application and Azure Landing Zone Starter. Deliverables include working files or code, documentation, testing or evaluation evidence, and a final presentation.

Which tools and platforms are covered?

Key tools include Microsoft Azure, Entra ID, Azure CLI, Azure VNet, NSG, Load Balancer, Application Gateway, and Azure VM. Additional platforms are introduced in relevant modules through practical tasks, and the toolset may evolve as industry practice changes.

How long does the course take?

The course includes approximately 76 guided learning hours across 8 modules, normally delivered over 10–12 weeks depending on batch intensity and learner practice time.

Which career paths can this course support?

The curriculum supports the development of skills relevant to roles such as Azure Cloud Engineer, Azure Administrator, and Solutions Architect pathway. Career outcomes depend on prior experience, project quality, interview readiness and market conditions; employment is not guaranteed.

Will I receive mentor and career support?

The course includes live instruction, lab support, assignment feedback, project reviews and career preparation covering portfolio development, resume writing, LinkedIn profile improvement, and interview guidance.

Ready to start?

Ready to start your Microsoft Azure Cloud Engineering journey?

Review the full curriculum, experience a live class and confirm the right starting point before enrolling.

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