Codelearn.Academy Live Classes

Azure Cloud Course

4.9 (24922 Reviews)

Azure Cloud is a comprehensive platform offered by Microsoft, providing a vast array of cloud computing services designed to assist businesses in building, deploying, and managing applications and services through Microsoft-managed data centers worldwide. It encompasses a wide range of solutions, including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS), catering to diverse business needs.

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Course Fees

₹ 14999 ₹ 9999

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Live Cloud Lab Fees

₹ 2999 ₹ 2499

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Course Fees Including Live Cloud Lab

₹ 17998 ₹ 12498

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Upcoming Batch Details.

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Duration
  • (Mon - Sat) 5 Months
  • (Mon - Sat) 5 Months
  • (Mon - Sat) 5 Months
  • (Mon - Sat) 5 Months
  • (Mon - Sat) 5 Months
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Timings
  • 9:00 AM to 10:00 AM
  • 10:00 AM to 11:00 AM
  • 4:00 PM to 5:00 PM
  • 5:00 PM to 6:00 PM
  • 6:00 PM to 7:00 PM
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Overview of Our Azure Cloud Course

At its core, Azure offers robust computing capabilities, enabling users to create virtual machines, deploy applications, and manage workloads efficiently. Its IaaS model provides scalable storage, networking, and computing resources, allowing businesses to adapt to varying demands without the burden of managing physical hardware.

Azure's PaaS offerings empower developers with tools and frameworks to build, test, and deploy applications seamlessly. Services like Azure App Service, Azure Functions, and Azure SQL Database facilitate rapid development, scalability, and easy integration, fostering innovation and agility in software creation.

The platform boasts a broad spectrum of specialized services, including AI and machine learning tools through Azure Cognitive Services, IoT solutions with Azure IoT Hub, and big data analytics via Azure Synapse Analytics, empowering organizations to derive insights, automate processes, and enhance decision-making.

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Curriculum of Azure Cloud Course

Well-structured & comprehensive curriculum designed according to latest trends and industry standards!

  • Introduction to Cloud Computing
    • Understanding cloud computing models (IaaS, PaaS, SaaS).
    • Overview of on-premises vs. cloud infrastructure.
  • Introduction to Microsoft Azure
    • Overview of Azure services.
    • Azure global infrastructure.
  • Azure Resource Manager (ARM)
    • Understanding ARM templates.
    • Deploying and managing Azure resources using ARM.
  • Azure Virtual Machines (VMs)
    • Creating and managing VMs.
    • VM sizes, images, and extensions.
  • Azure Storage
    • Blob storage, table storage, file storage.
    • Storage accounts and replication.
  • Azure Networking
    • Virtual networks, subnets, and network security groups.
    • Azure Load Balancer and Application Gateway.
  • Azure Identity and Access Management (IAM)
    • Azure Active Directory (AAD).
    • Role-based access control (RBAC).
  • Azure SQL Database
    • Creating and managing Azure SQL databases.
    • Scaling and performance optimization.
  • Azure Cosmos DB
    • Introduction to NoSQL databases.
    • Multi-model data and global distribution.
  • Azure Storage Solutions
    • Azure Table Storage, Azure Blob Storage.
    • Azure Queue Storage and Azure File Storage.
  • Azure Functions
    • Building serverless functions.
    • Integrating functions with other Azure services.
  • Azure Logic Apps
    • Creating and orchestrating workflows
    • Connecting and automating services with Logic Apps.
  • Azure Event Grid and Service Bus
    • Implementing event-driven architectures.
    • Messaging and event handling.
  • Azure DevOps Overview
    • Introduction to Azure DevOps services.
    • Setting up projects and repositories.
  • Building CI/CD Pipelines with Azure Pipelines
    • Creating and configuring build pipelines.
    • Automating deployments with release pipelines.
  • Azure Container Registry (ACR)
    • Storing and managing Docker container images.
    • Integrating ACR with Kubernetes.
  • Introduction to Kubernetes
    • Understanding container orchestration.
    • Basics of Kubernetes architecture.
  • Azure Kubernetes Service (AKS)
    • Creating and managing AKS clusters.
    • Deploying and scaling applications on AKS.
  • Monitoring and Logging with AKS
    • Monitoring containerized applications.
    • Logging best practices.
  • Azure Security Center
    • Monitoring and improving security posture.
    • Implementing security policies.
  • Azure Key Vault
    • Safeguarding keys and secrets.
    • Integrating Key Vault with applications.
  • Azure Policy and Blueprints
    • Enforcing compliance and governance.
    • Defining and assigning Azure Blueprints.
  • Azure Machine Learning
    • Building, training, and deploying machine learning models.
    • Azure ML Studio and Automated ML.
  • Cognitive Services
    • Introduction to pre-built AI models.
    • Integrating cognitive services into applications.
  • Azure IoT Hub
    • Connecting, monitoring, and managing IoT devices.
    • Implementing bi-directional communication.
  • Azure IoT Edge
    • Deploying intelligence to the edge.
    • Running containers on IoT devices.
  • Azure Cost Management and Billing
    • Monitoring and optimizing costs.
    • Setting up budget alerts.
  • Azure Policy and Blueprints (Advanced)
    • Advanced governance scenarios.
    • Customizing policies and blueprints.
  • Azure VPN Gateway
    • Connecting on-premises networks to Azure.
    • Implementing site-to-site and point-to-site VPNs.
  • Azure ExpressRoute
    • Dedicated private network connections to Azure.
    • Implementing ExpressRoute circuits.
  • Azure Synapse Analytics (formerly SQL Data Warehouse)
    • Data warehousing and analytics.
    • Integrating with Power BI.
  • Azure Durable Functions
    • Building durable and stateful workflows.
    • Handling long-running processes.
  • Azure Arc
    • Managing and governing hybrid and multicloud environments.
    • Extending Azure services to any infrastructure.
  • Azure Stack
    • Deploying Azure services on-premises.
    • Azure Stack Hub, Azure Stack HCI.
  • Certification Preparation
    • Overview of Azure certifications.
    • Preparing for exams and certifications
  • Career Development in Azure
    • Building a career in Azure.
    • Exploring job roles and opportunities.
  • Serverless Computing Trends
    • Serverless architecture advancements.
    • Azure serverless roadmap.
  • AI and ML Innovations
    • AI and ML breakthroughs in Azure.
    • Future applications and services.
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