Get Started with Microsoft Azure Mastery (Beginner to Advanced)

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Programming

Microsoft Azure Mastery (Beginner to Advanced)

Comprehensive Microsoft Azure training from fundamentals to enterprise architecture. Covers cloud concepts, Entra ID, networking, virtual machines, storage, databases, serverless, AKS, DevOps, Synapse, data engineering, Azure AI, security, migration, cost optimization, and production-ready architecture design aligned with Azure certifications.

  • 12 Months Duration
  • 30 Modules
  • Free Access
Course fee Free enrollment

Login to enroll and access modules, quizzes, and AI tutoring.

Learning path

Course Modules

Work through each module and pass quizzes to unlock the next step in your journey.

Module 1 Locked

Introduction to Cloud Computing and Microsoft Azure

Build a strong foundation in cloud computing concepts, service models, and Azure global infrastructure.

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Learning objectives
  • • Define cloud computing and its core characteristics
  • • Compare IaaS, PaaS, and SaaS service models
  • • Explain public, private, hybrid, and multi-cloud deployment models
  • • Identify key benefits of cloud adoption
  • • Understand Microsoft Azure as a leading cloud provider
  • • Explore Azure regions, availability zones, and edge locations
Module 2 Locked

Getting Started with Azure

Set up and manage Azure accounts using the portal, ARM, CLI, PowerShell, and subscription billing.

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Learning objectives
  • • Create and secure an Azure account and subscription
  • • Navigate the Azure Portal effectively
  • • Understand Azure Resource Manager concepts
  • • Install and use the Azure CLI
  • • Perform basic tasks with Azure PowerShell
  • • Monitor billing and manage subscription settings
Module 3 Locked

Azure Identity and Access Management

Master Azure identity and access management with Entra ID, RBAC, managed identities, and conditional access.

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Learning objectives
  • • Explain Microsoft Entra ID fundamentals
  • • Create and manage users, groups, and directory roles
  • • Assign RBAC roles at appropriate scopes
  • • Use managed identities for secure service authentication
  • • Configure conditional access policies
  • • Apply identity security best practices
Module 4 Locked

Azure Networking Fundamentals

Design secure and scalable network architectures using VNets, NSGs, routing, and Azure DNS.

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Learning objectives
  • • Apply core networking concepts in Azure
  • • Build and configure virtual networks
  • • Plan subnets and IP addressing
  • • Secure traffic with network security groups
  • • Configure route tables for traffic flow
  • • Manage DNS zones and records with Azure DNS
Module 5 Locked

Azure Virtual Machines

Deploy and manage scalable virtual machines with availability zones, scale sets, and best practices.

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Learning objectives
  • • Understand Azure VM fundamentals and use cases
  • • Select appropriate VM sizes and series
  • • Create, connect to, and manage virtual machines
  • • Improve resilience with availability sets and zones
  • • Scale compute with VM scale sets
  • • Apply virtual machine operational best practices
Module 6 Locked

Azure Storage Services

Choose and implement the right Azure storage services for object, file, queue, and table workloads.

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Learning objectives
  • • Understand Azure Storage account fundamentals
  • • Store unstructured data with Blob Storage
  • • Share files using Azure Files
  • • Queue messages with Queue Storage
  • • Store NoSQL data with Table Storage
  • • Apply storage security and lifecycle management
Module 7 Locked

Azure Database Services

Evaluate and deploy relational and NoSQL databases across Azure managed database services.

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Learning objectives
  • • Understand relational vs NoSQL database models
  • • Provision and manage Azure SQL Database
  • • Explore SQL Managed Instance capabilities
  • • Model and query data with Azure Cosmos DB
  • • Deploy PostgreSQL workloads on Azure
  • • Select the right database service for requirements
Module 8 Locked

High Availability and Load Balancing

Build highly available applications using Azure load balancing and traffic management services.

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Learning objectives
  • • Explain high availability and fault tolerance
  • • Distribute traffic with Azure Load Balancer
  • • Route HTTP traffic with Application Gateway
  • • Accelerate global apps with Azure Front Door
  • • Manage DNS-based routing with Traffic Manager
  • • Design resilient multi-tier applications
Module 9 Locked

Azure Monitoring and Logging

Implement observability with Azure Monitor, Log Analytics, Application Insights, and alerting.

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Learning objectives
  • • Use Azure Monitor for operational visibility
  • • Collect and query logs in Log Analytics workspaces
  • • Monitor application performance with Application Insights
  • • Create alerts and notification actions
  • • Track resource metrics across services
  • • Apply observability best practices
Module 10 Locked

Azure Security Fundamentals

Secure Azure workloads using Defender for Cloud, Key Vault, and foundational security practices.

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Learning objectives
  • • Use Microsoft Defender for Cloud for security posture management
  • • Explain Azure shared responsibility boundaries
  • • Store secrets and keys in Azure Key Vault
  • • Apply cloud security best practices
  • • Enable threat protection capabilities
  • • Understand compliance fundamentals on Azure
Module 11 Locked

Azure App Services

Deploy and scale web and API applications using Azure App Service and deployment slots.

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Learning objectives
  • • Understand App Service platform capabilities
  • • Deploy and manage web applications
  • • Host API applications on App Service
  • • Use deployment slots for safe releases
  • • Scale applications based on demand
  • • Apply App Service operational best practices
Module 12 Locked

Serverless Computing on Azure

Develop serverless applications with Azure Functions, Logic Apps, Event Grid, and event-driven patterns.

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Learning objectives
  • • Understand serverless benefits and trade-offs
  • • Create and deploy Azure Functions
  • • Automate workflows with Logic Apps
  • • Route events using Event Grid
  • • Build event-driven serverless architectures
  • • Apply serverless operational best practices
Module 13 Locked

Containers and Kubernetes

Containerize and orchestrate applications using Docker, ACI, and Azure Kubernetes Service.

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Learning objectives
  • • Understand container concepts and benefits
  • • Build and run Docker images
  • • Deploy containers with Azure Container Instances
  • • Provision and manage AKS clusters
  • • Understand Kubernetes architecture fundamentals
  • • Deploy and scale applications on AKS
Module 14 Locked

Messaging and Integration Services

Build decoupled, event-driven systems using Service Bus, Event Hubs, Event Grid, and Logic Apps.

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Learning objectives
  • • Queue and publish messages with Azure Service Bus
  • • Ingest high-throughput events with Event Hubs
  • • Route events using Event Grid
  • • Orchestrate integrations with Logic Apps
  • • Apply messaging and integration patterns
  • • Design event-driven systems on Azure
Module 15 Locked

Infrastructure as Code (IaC)

Automate infrastructure provisioning with ARM templates, Bicep, Terraform, and IaC workflows.

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Learning objectives
  • • Explain IaC principles and benefits
  • • Deploy resources with ARM templates
  • • Write infrastructure definitions using Bicep
  • • Provision Azure resources with Terraform
  • • Automate environment provisioning pipelines
  • • Apply IaC review and governance practices
Module 16 Locked

DevOps on Azure

Implement CI/CD pipelines on Azure using Azure DevOps, Repos, and Pipelines.

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Learning objectives
  • • Understand DevOps culture and practices
  • • Navigate the Azure DevOps platform
  • • Manage source code in Azure Repos
  • • Build and release with Azure Pipelines
  • • Implement continuous integration and deployment
  • • Apply DevOps security and quality gates
Module 17 Locked

Content Delivery and Performance Optimization

Accelerate global content delivery with Azure CDN, Front Door, caching, and performance tuning.

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Learning objectives
  • • Understand CDN architecture and benefits
  • • Distribute content with Azure CDN
  • • Improve global performance with Azure Front Door
  • • Design effective caching strategies
  • • Accelerate application delivery at the edge
  • • Apply performance optimization techniques
Module 18 Locked

Data Analytics Fundamentals

Analyze data at scale using Azure Synapse Analytics, data lakes, and reporting workflows.

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Learning objectives
  • • Understand analytics workloads on Azure
  • • Use Azure Synapse Analytics for unified analytics
  • • Apply data warehousing concepts
  • • Store analytics data in data lake storage
  • • Query data and build reporting solutions
  • • Apply analytics governance best practices
Module 19 Locked

Data Engineering on Azure

Build data pipelines with Azure Data Factory, Databricks, and ETL/ELT patterns.

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Learning objectives
  • • Understand data engineering roles and workflows
  • • Orchestrate pipelines with Azure Data Factory
  • • Process data at scale with Azure Databricks
  • • Design ETL and ELT pipeline architectures
  • • Integrate data across Azure services
  • • Build enterprise data platforms
Module 20 Locked

Big Data and Streaming Solutions

Architect big data and streaming analytics solutions on Microsoft Azure.

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Learning objectives
  • • Design scalable big data architectures
  • • Ingest streaming data with Event Hubs
  • • Process real-time streams with Stream Analytics
  • • Build real-time analytics pipelines
  • • Implement data lake architectures on Azure
  • • Deliver enterprise analytics solutions
Module 21 Locked

Artificial Intelligence and Machine Learning

Build intelligent applications using Azure Machine Learning, AI Services, and Azure OpenAI.

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Learning objectives
  • • Understand AI/ML service categories on Azure
  • • Train and manage models with Azure Machine Learning
  • • Use prebuilt Azure AI Services
  • • Integrate generative AI with Azure OpenAI Service
  • • Deploy models to production endpoints
  • • Design end-to-end AI-powered applications
Module 22 Locked

Advanced Security and Governance

Implement enterprise security, governance, and compliance across Azure subscriptions and management groups.

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Learning objectives
  • • Enforce standards with Azure Policy
  • • Deploy compliant environments with Azure Blueprints
  • • Use Defender for Cloud for advanced threat protection
  • • Apply governance strategies at scale
  • • Manage compliance across workloads
  • • Design enterprise security architectures
Module 23 Locked

Hybrid Cloud and Multi-Cloud Solutions

Connect on-premises and multi-cloud environments with Azure Arc, Azure Stack, and hybrid networking.

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Learning objectives
  • • Explain hybrid and multi-cloud drivers
  • • Manage resources across environments with Azure Arc
  • • Extend Azure services on-premises with Azure Stack
  • • Establish hybrid networking connectivity
  • • Evaluate multi-cloud architecture strategies
  • • Apply enterprise hybrid integration patterns
Module 24 Locked

Disaster Recovery and Backup

Design disaster recovery and business continuity strategies using Azure Backup and Site Recovery.

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Learning objectives
  • • Define RTO, RPO, and DR tiers
  • • Protect workloads with Azure Backup
  • • Replicate and failover with Azure Site Recovery
  • • Create business continuity plans
  • • Deploy multi-region resilient architectures
  • • Select and test recovery strategies
Module 25 Locked

Cost Management and FinOps

Optimize Azure spending with pricing models, Cost Management, budgets, and FinOps practices.

Enroll in this course to access modules.

Learning objectives
  • • Understand pay-as-you-go and reserved pricing models
  • • Analyze spend with Azure Cost Management tools
  • • Set budgets and alerts for cost control
  • • Purchase reserved instances strategically
  • • Right-size and optimize resources
  • • Apply FinOps cost accountability practices
Module 26 Locked

Advanced Networking

Design advanced enterprise networks with peering, ExpressRoute, VPN Gateway, Firewall, and Private Link.

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Learning objectives
  • • Connect VNets with VNet peering
  • • Establish dedicated connectivity with ExpressRoute
  • • Secure site-to-site access with VPN Gateway
  • • Filter traffic with Azure Firewall
  • • Expose services privately via Private Link
  • • Design scalable enterprise network architectures
Module 27 Locked

Cloud Architecture Design

Apply the Azure Well-Architected Framework to design production-grade cloud systems.

Enroll in this course to access modules.

Learning objectives
  • • Use the Well-Architected review process
  • • Improve reliability and fault tolerance
  • • Strengthen security architecture
  • • Optimize performance for workloads
  • • Reduce cost without sacrificing quality
  • • Build operational excellence into designs
Module 28 Locked

Migration to Azure

Plan and execute cloud migrations using Azure Migrate and proven migration strategies.

Enroll in this course to access modules.

Learning objectives
  • • Understand cloud migration drivers and phases
  • • Assess and track migrations with Azure Migrate
  • • Migrate applications to Azure platforms
  • • Move databases using migration services
  • • Select appropriate migration strategies
  • • Build detailed migration plans and runbooks
Module 29 Locked

Real-World Azure Architectures

Study production architecture patterns for web, microservices, serverless, data, and SaaS workloads.

Enroll in this course to access modules.

Learning objectives
  • • Design scalable web application stacks
  • • Architect microservices on Azure
  • • Build serverless solution architectures
  • • Model enterprise data platform designs
  • • Design multi-tenant SaaS solutions
  • • Apply multi-tier application design patterns
Module 30 Locked

Azure Professional Mastery

Consolidate professional Azure skills for architecture, security, DevOps, data, and certification readiness.

Enroll in this course to access modules.

Learning objectives
  • • Apply Solutions Architect design best practices
  • • Implement security engineering controls for production
  • • Integrate DevOps practices into Azure delivery
  • • Build reliable data engineering pipelines
  • • Design production-ready, observable systems
  • • Plan an Azure career and certification path
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