Microsoft Certified: Azure – Fundamentals Exam AZ-900 Training and certification

Microsoft Certified: Azure - Fundamentals Exam AZ-900 Training and certification

AZ-900: Microsoft Azure Fundamentals Training in Coimbatore

Course Overview

The AZ-900: Microsoft Azure Fundamentals certification course is the perfect starting point for individuals who are new to cloud computing and Microsoft Azure. This entry-level course introduces core cloud concepts, Azure services, pricing models, compliance, and support—all tailored for beginners with no prior technical experience.

At Linux Training Center in Coimbatore, our hands-on, instructor-led AZ-900 training helps learners build a solid foundation in cloud technology, paving the way for more advanced Azure certifications and cloud-based career opportunities.

Why Choose AZ-900?

AZ-900 is not only a beginner-friendly course but also a globally recognized certification that validates your understanding of cloud concepts and Azure fundamentals. Whether you’re a student, IT professional, business user, or decision-maker, this course gives you the clarity needed to understand how Azure works and why it matters in modern enterprises.

It is highly recommended before pursuing role-based certifications such as Azure Administrator, Developer, or Security Engineer.

Who Should Enroll?

This course is ideal for non-technical professionals, fresh graduates, sales teams, project managers, and IT beginners who want to understand the cloud from a business and technical perspective.

No prior IT or cloud experience is required to enroll in this course.

What You Will Learn

  • Core cloud concepts and types of cloud models (IaaS, PaaS, SaaS)

  • Introduction to Microsoft Azure services and solutions

  • Basic Azure architecture and core management tools

  • Overview of Azure pricing, SLAs, and lifecycle management

  • Concepts of security, governance, compliance, and trust in Azure

  • Navigating Azure Portal and using Azure Resource Manager (ARM)

Learners gain real-time exposure to navigating the Azure platform through guided demos and hands-on labs.

Course Highlights

  • Beginner-friendly syllabus aligned with the AZ-900 exam objectives

  • Instructor-led training with simplified, real-world explanations

  • Live practical sessions using Azure Portal

  • Suitable for both IT and non-IT learners

  • Available in weekday and weekend formats

Career Opportunities

While AZ-900 is a foundational certification, it enhances your resume by showing that you understand the basics of cloud computing and Microsoft Azure. It opens pathways into cloud support, pre-sales roles, project management, and further certifications like Azure Administrator Associate (AZ-104) and Azure Developer Associate (AZ-204).

Why Linux Training Center?

Linux Training Center in Coimbatore specializes in beginner-to-advanced cloud training. Our AZ-900 program is delivered by certified trainers with real-world cloud expertise, ensuring every learner gains practical knowledge, confidence, and certification support.

Microsoft Certified: Azure - Fundamentals Exam AZ-900 Syllabus

Modules

Describe cloud concepts (25–30%)

Describe cloud computing

  • Define cloud computing
  • Describe the shared responsibility model
  • Define cloud models, including public, private, and hybrid
  • Identify appropriate use cases for each cloud model
  • Describe the consumption-based model
  • Compare cloud pricing models

Describe the benefits of using cloud services

  • Describe the benefits of high availability and scalability in the cloud
  • Describe the benefits of reliability and predictability in the cloud
  • Describe the benefits of security and governance in the cloud
  • Describe the benefits of manageability in the cloud

Describe cloud service types

  • Describe infrastructure as a service (IaaS)
  • Describe platform as a service (PaaS)
  • Describe software as a service (SaaS)
  • Identify appropriate use cases for each cloud service (IaaS, PaaS, SaaS)

Describe Azure architecture and services (35–40%)

Describe the core architectural components of Azure

  • Describe Azure regions, region pairs, and sovereign regions
  • Describe availability zones
  • Describe Azure datacenters
  • Describe Azure resources and resource groups
  • Describe subscriptions
  • Describe management groups
  • Describe the hierarchy of resource groups, subscriptions, and management groups

Describe Azure compute and networking services

  • Compare compute types, including container instances, virtual machines (VMs), and functions
  • Describe VM options, including Azure Virtual Machines, Azure Virtual Machine Scale Sets, availability sets, and Azure Virtual Desktop
  • Describe resources required for virtual machines
  • Describe application hosting options, including the Web Apps feature of Azure App Service, containers, and virtual machines
  • Describe virtual networking, including the purpose of Azure Virtual Networks, Azure virtual subnets, peering, Azure DNS, Azure VPN Gateway, and Azure ExpressRoute
  • Define public and private endpoints

Describe Azure storage services

  • Compare Azure storage services
  • Describe storage tiersd
  • Describe redundancy options
  • Describe storage account options and storage types
  • Identify options for moving files, including AzCopy, Azure Storage Explorer, and Azure File Sync
  • Describe migration options, including Azure Migrate and Azure Data Box

Describe Azure identity, access, and security

  • Describe directory services in Azure, including Microsoft Azure Active Directory (Azure AD), part of Microsoft Entra and Azure Active Directory Domain Services (Azure AD DS)
  • Describe authentication methods in Azure, including single sign-on (SSO), multifactor authentication, and passwordless
  • Describe external identities and guest access in Azure
  • Describe Conditional Access in Microsoft Azure Active Directory (Azure AD), part of Microsoft
  • Describe Azure role-based access control (RBAC)
  • Describe the concept of Zero Trust
  • Describe the purpose of the defense in depth model
  • Describe the purpose of Microsoft Defender for Cloud

Describe Azure management and governance (30–35%)

Describe cost management in Azure

  • Describe factors that can affect costs in Azure
  • Compare the Pricing calculator and the Total Cost of Ownership (TCO) calculator
  • Describe the Azure Cost Management and Billing tool
  • Describe the purpose of tags

Describe features and tools in Azure for governance and compliance

  • Describe the purpose of Azure Blueprints
  • Describe the purpose of Azure Policy
  • Describe the purpose of resource locks
  • Describe the purpose of the Service Trust Portal

Describe features and tools for managing and deploying Azure resources

  • Describe the Azure portal
  • Describe Azure Cloud Shell, including Azure CLI and Azure PowerShell
  • Describe the purpose of Azure Arc
  • Describe Azure Resource Manager and Azure Resource Manager templates (ARM templates)
  • Configure backup and recovery of certificates, secrets, and keys

Describe monitoring tools in Azure

  • Describe the purpose of Azure Advisor
  • Describe Azure Service Health
  • Describe Azure Monitor, including Log Analytics, Azure Monitor alerts, and Application Insights

Describe Artificial Intelligence workloads and considerations (20-25%)
  • Identify features of common AI workloads

    • - Identify features of anomaly detection workloads
    - Identify computer vision workloads
    - Identify natural language processing workloads
    - Identify knowledge mining workloads

  • Identify guiding principles for responsible AI

    • - Describe considerations for fairness in an AI solution
    - Describe considerations for reliability and safety in an AI solution
    - Describe considerations for privacy and security in an AI solution
    - Describe considerations for inclusiveness in an AI solution
    - Describe considerations for transparency in an AI solution
    - Describe considerations for accountability in an AI solution

    Describe fundamental principles of machine learning on Azure (25-30%)
  • Identify common machine learning types

    • - Identify regression machine learning scenarios
    - Identify classification machine learning scenarios
    - Identify clustering machine learning scenarios

  • Describe core machine learning concepts

    • - Identify features and labels in a dataset for machine learning
    - Describe how training and validation datasets are used in machine learning

  • Describe capabilities of visual tools in Azure Machine Learning studio

    • - Automated machine learning
    - Azure Machine Learning designer

    Describe features of computer vision workloads on Azure (15-20%)
  • Identify common types of computer vision solution

    • - Identify features of image classification solutions
    - Identify features of object detection solutions
    - Identify features of optical character recognition solutions
    - Identify features of facial detection and facial analysis solutions

  • Identify Azure tools and services for computer vision tasks

    • - Identify capabilities of the Computer Vision service
    - Identify capabilities of the Custom Vision service
    - Identify capabilities of the Face service
    - Identify capabilities of the Form Recognizer service

    Describe features of Natural Language Processing (NLP) workloads on Azure (25-30%)
  • Identify features of common NLP Workload Scenarios

    • - Identify features and uses for key phrase extraction
    - Identify features and uses for entity recognition
    - Identify features and uses for sentiment analysis
    - Identify features and uses for language modeling
    - Identify features and uses for speech recognition and synthesis
    - Identify features and uses for translation

  • Identify Azure tools and services for NLP workloads

    • - Identify capabilities of the Language service
    - Identify capabilities of the Speech service
    - Identify capabilities of the Translator service

  • Identify considerations for conversational AI solutions on Azure

    • - Identify features and uses for bots
    - Identify capabilities of the Power Virtual Agents and Azure Bot service

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