Microsoft Azure Online Training in India [Updated 2024]

Name: Microsoft Azure Certification Training
Rating: 4.623816226901075 (69912 reviews)

Cloud computing is the new trend in the IT market and Microsoft Azure is such an amazing cloud-based platform that offers an array of services to its clients. It has changed the way how business was conducted earlier and how it is done today. It has also given a direction to an individual or enterprise to learn nuances of Azure platforms by opting for various certification exams.
By joining the Microsoft Azure online training program, you can practice for various Azure roles or profiles as per your career goals. Azure is a product by Microsoft that helps Companies to make its infrastructure more secure and scalable.
Being the renowned Microsoft Azure online training in India, we offer in-depth understanding of various Azure concepts that include Azure Directory, Azure policies, Azure Portals, Azure roles, Virtual networking concept in Azure, and more.
Also, the Microsoft Azure online certification course includes project work to enhance your practical skills while sitting at your home. So, make yourself ready to take the first step towards the success and grow your career graph exponentially while enrolled with us.

We deliver systematic Microsoft Azure online training to assist you in all career paths and acquire the right skills that are necessary for you. You have the flexibility to join the training form your place at your comfort and timings.
You can also join weekends, weekdays, or fast track batches as per your requirements. The best part is that when getting trained online, you dont have to waste time in traveling and you can gain some extra knowledge along with the current job roles.

The objective of this Microsoft Azure Certification course is to make you an expert in cloud platform and teach you everything step-by-step from an initial to the advanced stage.

Also, the course will prepare you for various certification exams too like admin, development, architect, and more.

You will get the right direction and expertise to get certified and get hired in no time.

You will get hands-on materials during training like PPTs, PDFs, whitepapers, that are especially prepared by training experts after continuous research.

The best part is that course will make you skilled enough to showcase your skills at the global level.

Being a trusted Microsoft Azure Training Institute Online in India, we help you to learn all these fundamental skills at your fingertips and become an Azure master in no time.

Modules in Microsoft Azure Course Online:

Azure Compute: This module is useful for providing virtual machines, app services, and serverless computing options. Along with this, its primary key services consist of virtual machines, app service, Azure functions, Azure Kubernetes Service (AKS)

Azure Networking: This solution is useful for managing the network connectivity and traffic flow within Azure. Along with this, its key services consist of virtual networks, load balancers, DNS, VPN gateways, ExpressRoute Etc.

Azure Storage: This module is useful for storing the data in various forms. Its examples are blobs, files, tables, and queues. Along with this, its key services include Blob Storage, File Storage, Table Storage, and Queue Storage.

Azure Databases: The Azure Databases provide users with managed database services for different data types. Along with this, its key services include SQL Database, Cosmos DB, PostgreSQL, MySQL, Redis Cache

Azure Identity and Access Management (IAM): The primary purpose of this module is to manage the user identities, roles, and permissions for accessing Azure resources. Along with this, its key services include Azure Active Directory and Role-Based Access Control (RBAC)

Azure Security: This is useful for protecting the MS Azure resources and data from threats. Along with this, its key features consist of a security centre, Azure Firewall, Azure Key Vault, Azure Monitor Etc.

Azure AI + Machine Learning: This solution is useful for providing various tools and services for building and deploying AI and machine learning models. Along with this, its key features are Azure Machine Learning, Azure Cognitive Services, Azure Databricks Etc.

Azure Analytics: The Azure Analytics is useful for providing the services for analyzing and visualizing data. Along with this, it includes various key features such as Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake Storage.

Azure Internet of Things (IoT): This is useful for connecting and managing IoT devices and data. Along with this, its key services include Azure IoT Hub, Azure IoT Central and Azure Time Series Insights.

Azure DevOps: This solution is useful for providing a set of tools for planning, developing, testing, and deploying applications. Along with this, its key services include Azure DevOps Server, Azure DevOps Services, Azure Pipelines, Azure Repos Etc.

Azure Kubernetes Service (AKS): The AKS is useful for deploying and managing containerized applications. Along with this, its key features consist of Kubernetes orchestration, autoscaling, and integration with other Azure services.

Azure Virtual Machines (VMs): The Azure Virtual Machines are useful for providing businesses with virtualized computing resources for running various applications. Furthermore, it offers different VM sizes along with operating systems, and networking options.

Azure Functions: The primary purpose of this module is to provide a serverless computing platform for running code without managing infrastructure. Along with this, its key features ensure event-driven execution, pay-per-use pricing, and integration with other Azure services.

Azure Logic Apps: It refers to a popular low-code integration platform for building workflows and automating tasks. Along with this, its key features consist of connectors for various services and applications, visual designers, and scheduling options.

Azure App Services: This is a popular fully managed platform useful for building, deploying, and scaling web applications and APIs. Along with this, it provides users with different deployment options (Web App, API App, Mobile App), integration with Azure services, and scalability.

Azure Event Grid: This is a fully managed event routing service that is useful for building event-driven applications. Along with this, it helps in publishing and subscribing to events from various Azure resources and custom sources.

Azure Service Bus: This is a cloud-based messaging service useful for reliable and scalable communication between applications. Along with this, it also facilitates great point-to-point messaging and provides topics and subscriptions for publish-subscribe messaging.

Azure API Management: It is useful for creating, publishing, protecting, and monitoring APIs. Along with this, its key features include API gateway, Developer portal, API analytics Etc. Furthermore, it also offers great security features for authentication, authorization, rate limiting Etc.

Azure Backup and Disaster Recovery: MS Azure provides great backup and recovery solutions for Azure resources. Along with this, it also provides a great backup of virtual machines, databases, and other resources. Furthermore, it ensures disaster recovery solutions like Azure Site Recovery.

Azure Monitor: This is a comprehensive monitoring solution for Azure resources. Along with this, it helps in collecting and analysing logs from various Azure resources. This solution ensures better application insights and helps in monitoring the performance and health of web applications.

Here is a list of tools used in Microsoft Azure:

Azure Portal: This is a web-based interface that provides a centralized platform for managing Azure resources. Using it allows you to create, configure, monitor, and troubleshoot the Azure services. Examples of the Azure services are virtual machines, storage accounts, and databases.

Azure CLI (Command-Line Interface): This refers to a command-line tool and using it helps you interact with Azure resources from your terminal or command prompt. Along with this, the solution provides businesses with a flexible and efficient way to automate tasks and scripts.

Azure PowerShell: It refers to a PowerShell module useful for scripting the PowerShell scripting language to interact with Azure resources. Along with this, this solution offers a similar experience to Azure CLI but with a PowerShell-specific syntax. Above all, it also facilitates improved integration with the PowerShell ecosystem.

Azure Resource Manager (ARM): This is a popular deployment and management service useful for defining and managing groups of related resources. Along with this, it helps in defining the desired state of your resources. These can further be deployed and managed consistently.

Azure DevOps: It is a popular cloud-based DevOps platform that comes with a wide range of tools for planning, developing, testing, and deploying applications. Along with this, it consists of various features such as version control, build automation, testing, and release management.

Azure Monitor: This refers to a popular service that is useful for providing insights into the performance and health of your Azure resources. Along with this, it helps in collecting and analysing data from various sources. Furthermore, it also helps in identifying the issues and optimizing your applications.

Azure Kubernetes Service (AKS): It refers to a managed Kubernetes service useful for simplifying the management of containerized applications on Azure. Along with it, this solution provides businesses with a managed Kubernetes environment. Thus, ensuring a better focus on building and deploying your applications.

Azure Data Factory: This is a cloud-based data integration service that is useful for creating, scheduling and monitoring the data-driven services. Along with this, it helps in extracting the data, then transforming it and then loading it from various sources. Thus, following the ETL process.

Azure Key Vault: It refers to a popular cloud-based service useful for securely storing and managing cryptographic keys. Along with this, it helps in protecting sensitive business information, such as API keys, passwords, and certificates.

Azure Virtual Machines (VMs): This solution is useful for providing a highly scalable and flexible computing platform. This helps in running various applications and workloads. Along with this, Azure VMs allow businesses to choose from a wide range of virtual machine types and operating systems.

Azure Functions: It is a popular serverless computing platform that is useful for running the code without having to manage infrastructure. Along with this, it allows you to create functions that are triggered by various events. Such examples are HTTP requests, timers, or messages from other Azure services.

Azure Logic Apps: This is a low-code integration platform that is useful for creating and automating workflows by connecting various applications, services, and data. Along with this, the Logic apps allow you to use the pre-built connectors or create custom connectors for integration with multiple systems.

Azure Storage Explorer: It is a popular cross-platform desktop application useful for providing users with a graphical interface for managing Azure storage resources. Along with this, it also helps in browsing, uploading, downloading, and deleting files and blobs stored.

Azure Active Directory (AD): This refers to a popular cloud-based identity and access management service. This is primarily useful for providing businesses with single sign-on (SSO) capabilities along with multi-factor authentication, and user management.

Azure Service Bus: This refers to a cloud-based messaging service that facilitates reliable and scalable communication between applications. Along with it, this solution offers features like queues, topics, and subscriptions for message routing and delivery.

Azure SQL Database: It refers to a fully managed relational database service that is compatible with SQL Server. Along with it, this solution also provides businesses with various performance tiers and pricing options. Thus, helping in meeting the different workload requirements.

Azure Event Grid: This refers to a fully managed event routing service that is useful for easily building event-driven applications. Along with it, this solution helps you react to the events from various Azure resources and custom sources.

Azure API Management: This refers to a cloud-based service that is useful for creating, managing, and securing the APIs. Along with this, it provides various features such as API publishing, API gateway, API security, API analytics etc.

Azure Traffic Manager: This refers to a popular DNS-based load balancer that is useful for distributing traffic across multiple endpoints. Examples are web applications, services, or virtual machines. Along with it, this solution provides various features such as traffic distribution, failover, session affinity Etc.

Azure Sentinel: It is a popular cloud-native security information and event management (SIEM) solution. Its primary usage is to detect, investigate, and respond to threats in your hybrid and cloud environments. Above all, it ensures threat detection, investigation and better response.

Technical Skills in Microsoft Azure Online Course:

Cloud Computing: This is useful for understanding cloud concepts such as IaaS, PaaS, SaaS Etc. This solution facilitates the deployment and management of cloud resources along with better cost optimization and resource management.

Virtualization: It offers better virtualization features and helps in creating and managing virtual machines. Furthermore, you will understand the hypervisor technologies. It is also useful for migrating workloads to the cloud.

Networking: This is useful for designing and configuring virtual networks. Furthermore, it also helps in implementing network security (firewalls, VPNs). Along with this, it is also necessary to understand the networking protocols (TCP/IP, DNS).

Security and Compliance: This solution is for implementing security best practices (encryption, access control). Along with this, it ensures better compliance with regulations (GDPR, HIPAA, etc.). Above all, its primary responsibility is to manage the identity and access management.

Scripting (PowerShell, Azure CLI): This is useful for automating tasks and managing Azure resources using scripting languages. Above all, it is also useful for understanding PowerShell and Azure CLI commands.

Automation: This is useful for automating repetitive tasks to improve efficiency and reduce errors. Furthermore, it uses various techniques such as scripting, workflow automation, and robotic process automation (RPA).

Containerization (Docker, Kubernetes): It is useful for packaging applications and their dependencies into containers for portability and isolation. Along with this, its key technologies include Docker (container runtime) along Kubernetes (container orchestration).

DevOps: This refers to a set of practices and tools useful for automating software delivery and infrastructure management. Along with this, its key concepts include continuous Integration (CI), Continuous Delivery (CD) and Infrastructure as Code (IaC).

Database Management (SQL, NoSQL): This includes SQL Databases which are Relational databases like MySQL, PostgreSQL, and SQL Server. Along with this, it also consists of NoSQL Databases such as MongoDB, Cassandra, and Redis.

Identity and Access Management (IAM): The primary purpose of this skill is to manage user identities, roles, and permissions. Along with this, it also consists of the key concepts such as authentication, authorization, single sign-on, multi-factor authentication

Monitoring and Troubleshooting: This is primarily useful for ensuring the performance, reliability, and security of applications and systems. Along with this, it includes various Logging, metrics, alerts, and troubleshooting tools.

Application Development: This is useful for building and maintaining software applications. Along with this, it consists of various skills such as programming languages (Python, Java, C#), frameworks (Django, Flask, React), and software development methodologies.

Data Engineering: This skill is useful for designing, building, and maintaining data pipelines and infrastructure. Along with this, it consists of various skills for data ingestion, transformation, storage, and analysis.

Machine Learning and AI: These skills are useful for developing and deploying machine learning models and AI applications. Along with this, it consists of various skills such as algorithms, deep learning frameworks and data science techniques.

API Management: This is useful for designing, building, and managing the APIs for integration with other applications. Along with this, it consists of various skills for RESTful API design, API security, and API gateways.

Serverless Computing: It is useful for running code without managing the underlying infrastructure. Along with it, this skill requires key technologies such as AWS Lambda, Azure Functions, and Google Cloud Functions.

Load Balancing: The primary purpose of load balancing is to distribute the traffic across multiple servers to improve performance and availability. Along with it, this skill requires various techniques such as Load balancers and traffic managers.

Disaster Recovery: Its primary purpose is to plan for and recover from system failures or disasters. Along with this, it includes various strategies such as backup and restore disaster recovery plans and failover mechanisms.

Storage Management: The store management skills are necessary for managing data storage and retrieval. Along with this, it consists of key concepts such as storage types (object, block, file), data redundancy, and performance optimization.

Infrastructure as Code (IaC): It is for defining and managing the infrastructure using code. Along with this, it also uses various tools such as Terraform, Ansible, and CloudFormation. Furthermore, it helps in building and managing modern cloud-native applications.

Here is a list of Microsoft Azure Certifications:

Azure Fundamentals (AZ 900): This refers to the foundational certification for Azure that provides a general understanding of cloud computing concepts. Along with this, it is an ideal credential for candidates new to Azure or those looking for a basic overview.

Azure Administrator Associate (AZ 104): The primary goal of this credential is to focus on the skills required to manage and administer Azure resources. Along with this, it covers topics like creating virtual machines, managing storage, implementing networking, and implementing security.

Azure Developer Associate (AZ 204): This credential validates your ability to develop cloud-native applications on Azure. Along with this, it also covers various topics such as building web applications, using Azure App Services and implementing Azure Functions.

Azure AI Engineer Associate (AI 102): Gaining this credential showcases that you have the necessary skills to build and deploy the AI solutions on Azure. Along with this, it includes various topics such as machine learning, natural language processing, computer vision, and responsible AI.

Azure Data Scientist Associate (DP 100): This credential is useful for validating your ability to build and deploy machine learning models on Azure. Along with this, it is ideal for data scientists, machine learning engineers, and data analysts.

Azure Security Engineer Associate (AZ 500): The primary focus of this credential is to validate your skills in implementing security solutions on Azure. Along with this, its target audience is security engineers, cloud architects, and IT professionals responsible for cloud security.

Azure Solutions Architect Expert (AZ 305): This credential is for validating your expertise in designing and implementing complex cloud solutions on Azure. The target audience of this credential is cloud architects, solutions architects, and IT professionals who design and implement large-scale cloud solutions.

Azure DevOps Engineer Expert (AZ 400): Gaining this credential validates your skills in implementing and managing DevOps practices on Azure. Along with this, the target audience of this credential is DevOps engineers, software engineers, and IT professionals.

Azure Data Engineer Associate (DP 203): The primary focus of this credential is to validate your ability to design and implement data pipelines on Azure. Along with this, the target audience of this credential is data engineers, data analysts, and big data professionals.

Azure AI Fundamentals (AI 900): The primary focus of this credential is to provide a foundational understanding of artificial intelligence and machine learning concepts on Azure. Furthermore, it is an ideal credential for individuals new to AI.

Azure Data Fundamentals (DP 900): This certification showcases that you have a foundational understanding of data analytics and data management on Azure. The target audience of this credential is those who are new to data analytics.

Azure IoT Developer Specialty (AZ 220): The primary focus of this credential is to validate your skills in developing IoT solutions on Azure. Along with this, its target audience is the IoT developers and engineers who want to build IoT applications using Azure services.

Azure Virtual Desktop Specialty (AZ 140): Gaining this credential validates your skills in deploying and managing Azure Virtual Desktop (AVD) environments. Along with this, it is ideal for IT professionals who work on implementing and managing virtual desktop infrastructure.

Azure Network Engineer Associate (AZ 700): This credential focuses on validating your skills in designing, implementing, and managing Azure network infrastructure. Professionals such as Network engineers and architects usually opt for this credential.

Azure Cosmos DB Developer Specialty (DP 420): This certification validates your expertise in designing, developing, and deploying applications using Azure Cosmos DB. Furthermore, the core concept of the credential is understanding the core concepts of Azure Cosmos DB.

Let's dive deep into the various career paths and job roles awaiting those who pursue an Microsoft Azure Course Online:

Azure Cloud Architect: These professionals are responsible for designing and implementing cloud solutions on Azure. Along with this, they also have to collaborate with business stakeholders and technical teams. Above all, their primary job role is to develop cloud architecture diagrams, blueprints, and roadmaps.

Azure Administrator: These professionals have to manage the Azure resources, including virtual machines, storage, networking, and security. Along with this, these work on configuring and managing Azure services like Azure Active Directory.

Azure Developer: They have to work on building and deploying the cloud-native applications on Azure. Along with this, they also work on developing the APIs, web applications, and serverless functions. These professionals also integrate Azure services into applications, such as storage, databases, and messaging.

Azure DevOps Engineer: These professionals have to implement the DevOps practices and tools to automate software delivery. Along with this, they also configure CI/CD pipelines using Azure DevOps Services. Furthermore, they also have to manage source control, builds, testing, and deployment processes.

Azure Data Engineer: As an Azure Data Engineer, you will be primarily responsible for designing and building data pipelines, data warehouses, and data lakes on Azure. Furthermore, they also have to Extract, transform, and load data from various sources. Above all, they also work on implementing data governance and security measures.

Azure AI Engineer: These professionals have to develop and deploy artificial intelligence solutions on Azure. Along with this, they also train and fine-tune machine learning models using Azure Machine Learning. Above all, these professionals integrate AI models into applications and services.

Azure Security Engineer: These professionals are responsible for designing, implementing, and managing security solutions on Azure. Along with this, they have to develop and enforce security policies and standards. Furthermore, these professionals also conduct security assessments and vulnerability scans.

Azure Solutions Architect: The primary job role of these professionals is to design and implement complex cloud solutions on Azure. Along with this, they have to use various factors like scalability, performance, and cost-effectiveness. These professionals also collaborate with business stakeholders and technical teams to understand requirements.

Azure Database Administrator: They have to manage and administer the Azure database services. Furthermore, these professionals have to perform database tuning, backup and recovery, and performance optimization. Above all, they ensure database security and compliance.

Azure Networking Engineer: As an Azure Networking engineer, these professionals have to work on designing and implementing the Azure network infrastructure. Furthermore, they also configure the network connectivity, routing, and load balancing.

Azure IoT Engineer: These professionals have to develop and deploy the Internet of Things (IoT) solutions on Azure. Along with this, they also integrate the IoT devices with Azure services like IoT Hub, Event Hubs, and Time Series Insights. Furthermore, they also work on processes and analyze IoT data.

Azure Machine Learning Engineer: These professionals are responsible for building, deploying, and managing machine learning models on the Azure platform. Along with this, they have to leverage Azure's powerful tools and services to develop and implement AI solutions.

Azure Consultant: These professionals have to provide expert guidance and consulting services to organizations using Azure. Along with this they also help the clients assess their cloud needs, design cloud solutions, and migrate workloads to Azure

Azure Site Reliability Engineer (SRE): As an Azure site reliability engineer, you will have to work on the reliability, performance, and availability of Azure-based applications. Furthermore, these professionals have to develop and implement monitoring, alerting, and automation solutions.

Azure Automation Engineer: The primary job role of these professionals is to automate the tasks and processes using Azure Automation. Furthermore, these professionals also create and manage runbooks for automating routine tasks. Above all, they also have to integrate the automation with other Azure services.

Azure Infrastructure Engineer: As an Azure Infrastructure engineer, you will have to design, build and manage the underlying infrastructure for Azure solutions. Along with this, they also implement and configure networking, storage, and compute resources. Furthermore, these professionals ensure infrastructure performance, scalability, and security.

Azure Support Engineer: These professionals have to provide technical support and troubleshooting for Azure customers. Along with this, they also resolve customer issues and inquiries related to Azure services. Furthermore, these professionals also monitor the Azure environments for performance and health.

Azure Migration Specialist: As a Microsoft Azure migration specialist, you will be primarily responsible for assisting organizations in migrating their workloads to Azure. Along with this, they also have to assess the existing infrastructure and identify suitable migration strategies. Above all, these professionals work on executing migration projects.

Azure Governance Lead: The primary job responsibility of these professionals is to develop and implement the governance policies and standards for Azure environments. Along with this, they also ensure compliance with the best regulatory requirements and best practices.

Azure DevSecOps Engineer: As a DevSecOps engineer, your primary job role is to integrate security into the DevOps lifecycle. Furthermore, these professionals also have to implement security controls and practices throughout the development and deployment process.

Are you wondering what can you get as a skilled and trained Azure expert on the completion of Azure online training Well, salary figures vary based on various factors that involve location, nature of company, nature of the work, skill set, and the certification levels. The more you are skilled, better you can earn in the cloud space.
The average salary of an Azure expert is calculated between $110K to $130K for top industries. As a skilled professional, you may earn 20 percent extra that include $130K to $170K or even higher. If you work as a architect or developer then there are chances that you will get MORE.
As the reputed Microsoft Azure training institute, we prepare you to acquire higher salary packages and get a chance to work with leading industries too.
Salary Range for Various Microsoft Azure job profiles in India:

Azure Cloud Architect:

Fresher: 8-12 LPA

Experienced: 25-40 LPA

Azure Administrator:

Fresher: 3-6 LPA

Experienced: 8-15 LPA

Azure Developer:

Fresher: 4-8 LPA

Experienced: 10-20 LPA

Azure DevOps Engineer:

Fresher: 5-8 LPA

Experienced: 15-30 LPA

Azure Data Engineer:

Fresher: 5-8 LPA

Experienced: 15-25 LPA

Azure AI Engineer:

Fresher: 6-10 LPA

Experienced: 15-25 LPA

Azure Security Engineer:

Fresher: 6-10 LPA

Experienced: 15-30 LPA

Azure Solutions Architect:

Fresher: 8-12 LPA

Experienced: 25-40 LPA

Azure Database Administrator:

Fresher: 4-7 LPA

Experienced: 10-20 LPA

Azure Networking Engineer:

Fresher: 4-7 LPA

Experienced: 10-18 LPA

Azure IoT Engineer:

Fresher: 6-10 LPA

Experienced: 15-25 LPA

Azure Machine Learning Engineer:

Fresher: 6-10 LPA

Experienced: 15-25 LPA

Azure Consultant:

Fresher: 5-8 LPA

Experienced: 15-30 LPA

Azure Site Reliability Engineer (SRE):

Fresher: 5-8 LPA

Experienced: 15-30 LPA

Azure Automation Engineer:

Fresher: 4-7 LPA

Experienced: 10-20 LPA

Azure Infrastructure Engineer:

Fresher: 4-7 LPA

Experienced: 12-22 LPA

Azure Support Engineer:

Fresher: 3-6 LPA

Experienced: 8-15 LPA

Azure Migration Specialist:

Fresher: 5-8 LPA

Experienced: 15-25 LPA

Azure Governance Lead:

Fresher: 6-10 LPA

Experienced: 18-30 LPA

Azure DevSecOps Engineer:

Fresher: 6-10 LPA

Experienced: 18-35 LPA

You should join a course that could witness tremendous career growth for many years to come. Azure is such type of technology where you could stay industry relevant for many years to come. Here are some facts to keep in mind what benefits you can get on the completion of Microsoft Azure online training in India.

You will get a chance to apply for the certifications at different levels like associate level, intermediate level, or the expert level.

You may choose the right career path that suits your expertise or skills the most.

You are free to choose anyone certification program that is job-oriented and it will surely make you industry-ready to work immediately.

Get the flexibility to work on various Azure roles and gain analytical skills, logical skills, or communication skills too.

You can experience tremendous career growth and boost the overall confidence on the completion of Microsoft Azure online training.

As the eminent Microsoft Azure online training in India, we help you to gain a holistic understanding of Azure fundamentals and enhance your skills like never before.

Microsoft Azure is a cloud computing platform with a wider array of services that allow organizations to build and deploy apps in a more secure environment that further helps to meet business challenges proficiently. It is a flexible platform with increased data storage techniques. It is also cheap and offers various applications too at the same time. The platform gives an unlimited number of options for disaster management and suggests recovery plans too.
It can also be used for testing or managing apps in a robust manner. IT includes creating virtual machines, hosting websites, web applications, building mobile apps, and more. Today, the MS Azure platform is used by many Fortune 500 industries to manage business activities. Also, it is implemented by many top industry giants worldwide.
MS Azure is the technology of the future and it is easy to learn with our Microsoft Azure training course Online. It is a highly efficient platform and a lucrative career option for job seekers. The average salary in MS azure space is calculated between $110K to $140. As a certified professional, you are eligible to get a 20 percent hike extra in your package.
The Microsoft Azure certification training make you relevant enough to understand all Azure concepts and perform your daily tasks much efficiently like never before. Being the popular Microsoft Azure Certification training institute Online, we will help you to learn skills in various domains like Azure Cloud Platform, Azure architecture, infrastructure, and cloud computing. Also, we try our best that you may start working with best industries at huge salary packages.

Getting Microsoft Azure training Online can be one of the sound decisions ever made by you. The platform enjoys a very good market share and its popularity will not get affected for many years to come. You will be amazed to know that 80 percent of Fortune 500 Companies have shifted their business to the cloud platform. Let us see a few common job roles and responsibilities that you have to obey as an expert Microsoft Azure professional.

You must know how to understand the current business environment and suggest the best solutions based on existing problems.

Learn to solve the pain points and how to meet the business requirements efficiently.

You should have a sound idea of designing, developing, and implementing cloud solutions reliably.

You must know how to design a scalable business solution that could match the business expectations.

You should know how to take the backup of the data so that it can be made accessible at the time of need.

You should be able to design highly secure cloud solutions where unauthorized users cannot get access.

You should know how to monitor or maintain the cloud systems where everything is working just the GREAT.

Being a reliable Microsoft Azure online training institute in india, we prepare you to handle all these roles and responsibilities in a highly proficient manner.

The top hiring industries in Microsoft Azure space include HP, eBay, Boeing, Samsung, GE Healthcare, BMW, Travelocity, and more. You may get the chance to work with any of these industries or more Fortune 500 Companies too on the completion of the Microsoft Azure placement course.
Also, you will get a chance to get hired for different roles that include Azure administrators, Azure developers, cloud practitioners, architects, etc. The Microsoft Azure Online training will prepare you for any of the in-demand roles as per your interests.

Just imagine that you are getting a training certificate on a short period of 3-4 months that only validates your skills but it is valid worldwide. Yes, it is true. In the end, on the successful completion of Microsoft Azure certification training online, you will get a training certificate that will make you more reliable and desirable IT resource among the crowd.
It doesnt matter where you stand in your career, our expert can always help you at the fresher and the advanced level too. So, tie your belts and start the race today before you are left far behind in the competition.

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Why you should get started with the Microsoft Azure Course?

A skilled Microsoft Azure Developer earns around Rs. 13.5 Lakhs a year in India.

In the US, they make around $62.55 per hour through Microsoft Azure.

In other countries, they make around £44,150 per year

Acquiring a legitimate Microsoft Azure certification will uplift your career graph.

Microsoft Azure has an excellent scope in the Future.

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Microsoft Azure Certification Training Programs

Microsoft Azure Certification TrainingPrograms

Microsoft Azure (AZ-900 & AZ-104) Training

30k LearnersWeekend/WeekdayLive Class

2 Live Project
Self-Paced/ Classroom
Certification Pass Guaranteed

4.9 (63545)

View Details Course Curriculum

In the cloud industry, Microsoft Azure is being used by businesses to completely change the way how products and services can be used by clients. Developed by Microsoft, Azure is a cloud platform that helps organizations, irrespective of their sizes, to make their infrastructure highly scalable and secure.

Azure Fundamentals.

Azure Virtual Machines and Virtual Networks.

Azure Storage.

Azure App Service Web Apps.

Application Insights.

Azure Logic Apps & Function Apps.

Azure Key Vault.

Azure Cosmo DB.

Azure Redis Cache.

Azure SQL.

Manage Azure identities and governance (15-20%)

Implement and Manage Storage (10-15%)

Deploy and Manage Azure Compute Resources (25-30%)

Configure and Manage Virtual Networking (30-35%)

Monitor and Back up Azure Resources (10-15%)

Placement Guide

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Introduction

Cloud Computing Basics

Why Cloud computing

What is Microsoft Azure’

Cloud terminologies

Fault Tolerance and Disaster Recovery

Describe the principles of economies of scale

Describe the consumption-based model

Cloud Services

Describe Infrastructure-as-a-Service (IaaS),

Describe Platform-as-a-Service (PaaS)

Describe Software-as-a-Service (SaaS)

Cloud Models

Describe Public cloud

Describe Private cloud

Describe Hybrid cloud

Compare and contrast the three different cloud models

Core Azure architectural components

Describe Azure Architecture

Describe Regions

Describe Availability Zones

Describe Resource Groups

Describe Azure Resource Manager

Management Tools

Azure Portal

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Virtual Machines Overview

Azure Virtual Machines

Azure Resource Manager VM

Introduction to ARM Templates

Create an Image from VM Snapshots

Create and configure a VM for Windows and Linux

Automate deployment of VMs

Manage Azure VM

Virtual Networks Overview

Azure Virtual Networks

IP Addresses – Public & Private

Subnets

Network Interface Cards (NICs)

Network Security Groups (NSGs)

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Azure Storage

Azure Storage Replication

Azure Storage Explorer

Attach or Detach an External Storage Account

Shared Access Signatures (SAS)

Attach a Storage Account using SAS

Azure Blob Storage

Azure File Storage

Azure Queue Storage

Azure Table Storage

Create and configure storage accounts

Import and export data to Azure

Configure Azure files

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Create Azure App Service Web Apps

Create an Azure App Service Web App

Create an Azure App Service background task by using Web Jobs

Enable diagnostics logging

Create an Azure Web App for Containers

Monitor service health by using Azure Monitor

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AZ 104 Azure Administrator Training

30k LearnersWeekend/WeekdayLive Class

2 Live Project
Self-Paced/ Classroom
Certification Pass Guaranteed

4.8 (24590)

View Details Course Curriculum

The Azure Administrator implements, manages, and monitors identity, governance, storage, compute, and virtual networks in a cloud environment. The Azure Administrator will provision, size, monitor, and adjust resources as appropriate. Candidates should have a minimum of six months of hands-on experience administering Azure.

In this program you will learn :

Manage Azure identities and governance.

Implement and Manage Storage.

Deploy and Manage Azure Compute Resources.

Configure and Manage Virtual Networking.

Monitor and Back up Azure Resources.

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Manage Azure AD objects :

create users and groups

manage user and group properties

manage device settings

perform bulk user updates

manage guest accounts

configure Azure AD Join

configure self-service password reset

NOTE: Azure AD Connect; PIM

Manage role-based access control (RBAC) :

create a custom role

provide access to Azure resources by assigning roles

subscriptions

resource groups

resources (VM, disk, etc.)

interpret access assignments

manage multiple directories

Manage subscriptions and governance :

configure Azure policies

configure resource locks

apply tags

create and manage resource groups

move resources

remove RGs

manage subscriptions

configure Cost Management

configure management groups

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Manage storage accounts :

configure network access to storage accounts

create and configure storage accounts

generate shared access signature

manage access keys

implement Azure storage replication

configure Azure AD Authentication for a storage account

Manage data in Azure Storage :

export from Azure job

import into Azure job

install and use Azure Storage Explorer

copy data by using AZ Copy

Configure Azure files and Azure blob storage :

create an Azure file share

create and configure Azure File Sync service

configure Azure blob storage

configure storage tiers for Azure blobs

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Configure VMs for high availability and scalability :

configure high availability

deploy and configure scale sets

Automate deployment and configuration of VMs :

modify Azure Resource Manager (ARM) template

configure VHD template

deploy from template

save a deployment as an ARM template

automate configuration management by using custom script extensions

Create and configure VMs :

configure Azure Disk Encryption

move VMs from one resource group to another

manage VM sizes

add data discs

configure networking

redeploy VMs

Create and configure containers :

create and configure Azure Kubernetes Service (AKS)

create and configure Azure Container Instances (ACI)

NOT: selecting a container solution architecture or product; container registry settings

Create and configure Web Apps :

create and configure App Service

create and configure App Service Plans

NOT: Azure Functions; Logic Apps; Event Grid

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Implement and manage virtual networking :

create and configure VNET peering

configure private and public IP addresses, network routes, network interface, subnets, and virtual network

Configure name resolution :

configure Azure DNS

configure custom DNS settings

configure a private or public DNS zone

Secure access to virtual networks :

create security rules

associate an NSG to a subnet or network interface

evaluate effective security rules

deploy and configure Azure Firewall

deploy and configure Azure Bastion Service

NOT: Implement Application Security Groups; DDoS

Configure load balancing :

configure Application Gateway

configure an internal load balancer

configure load balancing rules

configure a public load balancer

troubleshoot load balancing

NOT: Traffic Manager and Front Door and Private Link

Monitor and troubleshoot virtual networking :

monitor on-premises connectivity

use Network Performance Monitor

use Network Watcher

troubleshoot external networking

troubleshoot virtual network connectivity

Integrate an on-premises network with an Azure virtual network :

create and configure Azure VPN Gateway

create and configure VPNs

configure ExpressRoute

configure Azure Virtual WAN

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AZ 204 Developing Solutions for Microsoft Azure

30k LearnersWeekend/WeekdayLive Class

2 Live Project
Self-Paced/ Classroom
Certification Pass Guaranteed

4.8 (65750)

View Details Course Curriculum

Our AZ-204 “Developing Solutions for Microsoft Azure” certification Training is geared towards Azure Developers who design and build cloud solutions such as applications and services. They participate in all phases of development, from solution design, to development and deployment, to testing and maintenance.

In this program you will learn :

Develop Azure Compute Solution.

Develop for Azure storage.

Implement Azure security.

Monitor, troubleshoot, and optimize solutions.

Connect to and consume Azure and third-party services.

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Here are some strong reasons why should you consider this certification course:

Validate your technical skills like storage, networking, compute, security, and other Cloud operations on Microsoft Azure.

Validate your development skills and showcase your expertize in building cloud solutions, apps, and services.

Top-paying info-tech certification in the world.

It provides you with global recognition for your knowledge, skills, and experience.

The organization looks for those who know Oracle Cloud, AWS, Azure, etc.

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Introduction :

Introduction to Cloud Computing

Microsoft Azure Overview

Microsoft Azure Services

Azure Subscriptions

Azure Resource Groups

Organizing Azure Resources

What are Virtual Machines

Introduction to ARM Templates

What are batch Jobs and Azure Batch Services

What is Kubernetes

Implement IaaS solutions :

provision VMs configure VMs for remote access

create ARM templates

create container images for solutions by using Docker

publish an image to the Azure Container Registry

run containers by using Azure Container Instance

Azure Kubernetes Service (AKS) is out of scope

Create Azure App Service Web Apps :

create an Azure App Service Web App

enable diagnostics logging

deploy code to a web app

configure web app settings including SSL, API, and connection strings

implement auto scaling rules, including scheduled auto scaling, and scaling by operational or system metrics

Implement Azure functions :

implement input and output bindings for a function

implement function triggers by using data operations, timers, and web-hooks

implement Azure Durable Functions

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Develop solutions that use Cosmos DB storage :

select the appropriate API for your solution

implement partitioning schemes

interact with data using the appropriate SDK

set the appropriate consistency level for operations

create Cosmos DB containers

implement scaling (partitions, containers)

implement server-side programming including stored procedures, triggers, and change feed notifications

Develop solutions that use blob storage :

move items in Blob storage between storage accounts or containers

set and retrieve properties and metadata

interact with data using the appropriate SDK

implement data archiving and retention

implement hot, cool, and archive storage

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Implement user authentication and authorization :

implement OAuth2 authentication

create and implement shared access signatures

control access to resources by using role-based access controls (RBAC)

Implement secure cloud solutions :

secure app configuration data by using the App Configuration and KeyVault API

manage keys, secrets, and certificates by using the KeyVault API

implement Managed Identities for Azure resources

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AZ 305 Designing Azure Infrastructure Solutions

30k LearnersWeekend/WeekdayLive Class

2 Live Project
Self-Paced/ Classroom
Certification Pass Guaranteed

4.9 (54178)

View Details Course Curriculum

Azure Solution Architects have subject matter expertise in designing cloud and hybrid solutions That run on Microsoft Azure, including compute, network, storage, monitor, and security.

In this program you will learn :

Design Identity, Governance, and Monitoring Solutions.

Design Data Storage Solutions.

Design Business Continuity Solutions.

Design Infrastructure Solutions (25-30%).

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Design a Solution for Logging and Monitoring :

Design a log routing solution

Recommend an appropriate level of logging

Recommend a monitoring tool(s) for a solution

Design Authentication and Authorization Solutions :

Recommend a solution for securing resources with role-based access controls

Recommend an identity management solution

Recommend a solution for securing identities

Design Governance :

Recommend an organizational and hierarchical structure for Azure resources

Recommend a solution for enforcing and auditing compliance

Design Identities and Access for Applications :

Recommend solutions to allow applications to access Azure resources

Recommend a solution that securely stores passwords and secrets

Recommend a solution for integrating applications into Azure AD

Recommend a user consent solution for applications

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Design a Data Storage Solution for Relational Data :

Recommend database service tier sizing

Recommend a solution for database scalability

Recommend a solution for encrypting data at rest, data in transmission, and data in use

Design Data Integration

Recommend a solution for data integration

Recommend a solution for data analysis Recommend a Data Storage Solution :

Recommend a solution for storing relational data

Recommend a solution for storing semi-structured data

Recommend a solution for storing non-relational data

Design a Data Storage Solution for Non-relational Data :

Recommend access control solutions to data storage

Recommend a data storage solution to balance features, performance, and cost

Design a data solution for protection and durability

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Design a Solution for Backup and Disaster Recovery :

Recommend a recovery solution for Azure, hybrid, and on-premises workloads that meets

Recovery objectives (RTO, RLO, RPO)

Understand the recovery solutions for containers

Recommend a backup and recovery solution for compute

Recommend a backup and recovery solution for databases

Recommend a backup and recovery solution for unstructured data

Design for High Availability :

Identify the availability requirements of Azure resources

Recommend a high availability solution for Compute

Recommend a high availability solution for non-relational data storage

Recommend a high availability solution for relational data storage

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Design a Compute Solution :

Recommend a Virtual Machine-based compute solution

Recommend an appropriately sized compute solution based on workload requirements

Recommend a Container-based compute solution

Recommend a Server less-based compute solution Describe Azure network security

Design an Application Architecture :

Recommend a caching solution for applications

Recommend a messaging architecture

Recommend an event-driven architecture

Recommend an automated deployment solution for your applications

Recommend an application configuration management solution

Recommend a solution for API integration

Design Migrations :

Evaluate migration solution that leverages the Cloud Adoption Framework

Assess and interpret on-premises servers, data, and applications for migration

Recommend a solution for migrating applications and Virtual Machines

Recommend a solution for migrating databases

Recommend a solution for migrating unstructured data

Design Network Solutions :

Recommend a network architecture solution based on workload requirements

Recommend a connectivity solution that connects Azure resources to the Internet

Recommend a connectivity solution that connects Azure resources to on-premises networks

Optimize network performance for applications

Recommend a solution to optimize network security

Recommend a load balancing and routing solution

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AZ 400 Microsoft Azure DevOps Solutions Training

30k LearnersWeekend/WeekdayLive Class

2 Live Project
Self-Paced/ Classroom
Certification Pass Guaranteed

4.75 (65784)

View Details Course Curriculum

Azure Solution Architects have subject matter expertise in designing cloud and hybrid solutions That run on Microsoft Azure, including compute, network, storage, monitor, and security.

In this program you will learn :

Introduction.

Develop an instrumentation strategy.

Develop a Site Reliability Engineering (SRE) strategy.

Develop a security and compliance plan (10-15%).

Manage source control.

Facilitate communication and collaboration.

Define and implement continuous integration.

Design a Package Management Strategy.

Implement & Maintain a build strategy.

Develop deployment scripts and templates.

Release Management Strategy.

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Module 1: Introduction :

Course Overview

Introduction to Cloud computing

Introduction to Azure

Self-hosting to cloud hosting

Azure Services

Azure Regions

Introduction to DevOps

Where did DevOps come from

What problems led to the creation of DevOps

How is DevOps different from Traditional IT

Why you need DevOps

DevOps Implementation Features

DevOps Lifecycle Phases and Measures

Workflow in DevOps

How DevOps Improved the Development and Operation Process

High Demand roles in DevOps

Future scope of DevOps

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Design and implement logging :

assess and Configure a log framework

design a log aggregation and storage strategy (e.g. Azure storage)

design a log aggregation using Azure Monitor

manage access control to logs (workspace-centric/resource-centric)

integrate crash analytics (App Center Crashes, Crashlytics)

Design and implement telemetry :

design and implement distributed tracing

inspect application performance indicators

inspect infrastructure performance indicators

define and measure key metrics (CPU, memory, disk, network)

implement alerts on key metrics (email, SMS, webhooks, Teams/Slack)

integrate user analytics (e.g. Application Insights funnels, Visual Studio App Center, TestFlight, Google Analytics)

Integrate logging and monitoring solutions :

configure and integrate container monitoring (Azure Monitor, Prometheus,)

configure and integrate with monitoring tools (Azure Monitor Application Insights, Dynatrace, New Relic, Nagios, Zabbix)

create feedback loop from platform monitoring tools (e.g. Azure Diagnostics VM extensions, Azure Platform Logs, Event Grid)

manage Access control to the monitoring platform

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Develop an actionable alerting strategy :

identify and recommend metrics on which to base alerts

implement alerts using appropriate metrics

implement alerts based on appropriate log messages

implement alerts based on application health checks

analyze combinations of metrics

develop communication mechanism to notify users of degraded systems

implement alerts for self-healing activities (e.g. scaling, failovers)

Design a failure prediction strategy :

analyze behavior of system with regards to load and failure conditions

calculate when a system will fail under various conditions

measure baseline metrics for system

recommend the appropriate tools for a failure prediction strategy

Design and implement a health check :

analyze system dependencies to determine which dependency should be included in

health check

calculate healthy response timeouts based on SLO for the service

design approach for partial health situations

integrate health check with compute environment

implement different types of health checks (liveness, startup, shutdown)

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Design an authentication and authorization strategy :

design an access solution (Azure AD Privileged Identity Management (PIM), Azure AD

Conditional Access, MFA)

organize the team using Azure AD groups

implement Service Principals and Managed Identity

configure service connections

Design a sensitive information management strategy :

evaluate and configure vault solution (Azure Key Vault, Hashicorp Vault)

generate security certificates

design a secrets storage and retrieval strategy

formulate a plan for deploying secret files as part of a release

Develop security and compliance :

automate dependencies scanning for security (container scanning, OWASP)

automate dependencies scanning for compliance (licenses: MIT, GPL)

assess and report risks

design a source code compliance solution (e.g. GitHub security, pipeline-based scans, Git hooks, SonarQube)

Design governance enforcement mechanisms :

implement Azure policies to enforce organizational requirements

implement container scanning (e.g. static scanning, malware, crypto mining)

design and implement Azure Container Registry Tasks (Azure Policy)

design break-the-glass strategy for responding to security incidents

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AZ 500 Microsoft Azure Security Technologies

30k LearnersWeekend/WeekdayLive Class

2 Live Project
Self-Paced/ Classroom
Certification Pass Guaranteed

4.9 (98746)

View Details Course Curriculum

Our AZ-500 “Microsoft Azure Security Technologies” certification Training will help you to gain subject matter expertise implementing security controls and threat protection, managing identity and access, and protecting data, applications, and networks in cloud and hybrid environments as part of an end-to-end infrastructure.

In this program you will learn :

Overview.

Virtual Networks and Network Security.

Manage Identities.

Manage Access Control.

Implement advanced network security.

Configure advanced security for compute.

Manage security operations.

Secure data and applications.

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Overview :

Introduction to Cloud Computing

Overview of Microsoft Azure

Microsoft Azure Services

Azure Subscriptions

Management Groups

Azure Resource Manager

Azure Portal and PowerShell

Azure Resource Manager Policies

Azure Policy Definition Structure

Resource Management Locks

Organizing Azure Resources

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Virtual Networks and Network Security :

Introduction

Azure Virtual Networks

IP Addresses – Public & Private

Classless Inter-domain Routing (CIDR)

Subnets

Network Interface Cards (NICs)

Network Security Groups (NSGs)

Network Security Group Rules

Virtual Network Service Endpoints

Service Endpoint Policies

Azure Load Balancer

Azure DNS

Plan and Design Azure Virtual Networks

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Manage Azure Active Directory (AD) :

add custom domains

Azure AD Join

configure self-service password reset

manage multiple directories

Manage Azure AD objects (users, groups, and devices) :

create users and groups

manage user and group properties

manage device settings

perform bulk user updates

manage guest accounts

Implement and manage hybrid identities :

install Azure AD Connect, including password hash and pass-through synchronization

use Azure AD Connect to configure federation with on-premises Active Directory Domain Services (AD DS)

manage Azure AD Connect

manage password sync and password writeback

Implement multi-factor authentication (MFA) :

configure user accounts for MFA

enable MFA by using bulk update

configure fraud alerts

configure bypass options

configure Trusted IPs

configure verification methods

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Configure secure access by using Azure AD :

monitor privileged access for Azure AD Privileged Identity Management (PIM)

configure Access Reviews

activate and configure PIM

configure Azure AD identity protection

Manage application access :

create App Registration

configure App Registration permission scopes

manage App Registration permission consent

manage API access to Azure subscriptions and resources

Manage access control :

configure subscription and resource permissions

configure resource group permissions

configure custom RBAC roles

identify the appropriate role

apply principle of least privilege

interpret permissions

check access

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Az 600 Microsoft Azure Stack Hub Operator Training

30k LearnersWeekend/WeekdayLive Class

2 Live Project
Self-Paced/ Classroom
Certification Pass Guaranteed

4.8 (32548)

View Details Course Curriculum

Ever heard of Microsoft Azure Stack Hub Well, it is a section of a hybrid cloud platform that lets you make the best use of Azure services from your data center. Well, Azure is a sort of a licensing benefit that assists you in significantly reducing the price of executing your workloads in the cloud premises.

Provide Services (30-35%)

Implement Data Center Integration (15-20%)

Manage Identity and Access (10-15%)

Manage Infrastructure (30-35%)

Placement Guide

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Manage Azure Stack Hub Marketplace

populate Azure Stack Hub Marketplace in a disconnected environment

create a custom Azure Stack Hub Marketplace item

manage lifecycle for Azure Stack Hub Marketplace items

Offer an App Services resource provider

plan an App Services resource provider deployment

deploy an App Services resource provider

update an App Services resource provider

scale roles based on capacity requirements

rotate App Services secrets and certificates

manage worker tiers

back up App Services

Offer an Event Hubs resource provider

plan an Event Hubs resource provider deployment

deploy an Event Hubs resource provider

update an Event Hubs resource provider

rotate Event Hubs secrets and certificates

Offer services

create and manage quotas

create and manage plans

create and manage offers

create and manage user subscriptions

change user subscription owner

Manage usage and billing

set up usage data reporting

view and retrieve usage data by using the Usage API

manage usage and billing in multi-tenant and CSP scenarios

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Prepare for Azure Stack Hub deployment

recommend a name resolution strategy

recommend a public and internal IP strategy

recommend a data center firewall integration strategy

recommend an identity provider

validate identity provider integration

configure the Time Server (NTP)

Manage infrastructure certificates for Azure Stack Hub

recommend a certificate strategy

validate the certificates

run secret rotation PowerShell cmdlet for external certificates

Manage Azure Stack Hub registration

recommend a registration model

re-register

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Manage multi-tenancy

configure Azure Stack Hub home directory

disable multi-tenancy

update guest tenant directory

Manage access

identify an appropriate method for access (service principal, users, groups)

provision a service principal for Azure Stack Hub

recommend a permission model

configure access in Azure Stack Hub

create a custom role

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Manage System Health

recommend a monitoring strategy

monitor system health by using the REST API

includes resource providers such as Event Hubs

monitor system health by using Syslog Server

manage field replacement or repair

configure automatic diagnostic log collection

collect diagnostic logs on demand by using Power shell

configure Syslog forwarding for Azure Stack Hub infrastructure

Plan and Configure Business Continuity and Disaster Recovery

recommend a business continuity disaster recovery (BCDR) strategy

recommend a strategy for infrastructure backups

configure storage target for infrastructure backups

configure certificates for infrastructure backups

configure frequency and retention policy for infrastructure backups

Manage Capacity

plan for system capacity

manage partitioned GPUs

add nodes

manage storage capacity

add IP pools

Update infrastructure

update Azure Stack Hub

download and import update packages manually

update Azure AD Home Directory

Manage Azure Stack Hub by using privileged endpoints

connect to a privileged endpoint

configure the cloud admin user role

unlock a support session

close the session on the privileged endpoint

stop and start Azure Stack Hub

perform system diagnostics by using Test-Azure Stack

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AZ 900 Microsoft Azure Fundamentals Training

30k LearnersWeekend/WeekdayLive Class

2 Live Project
Self-Paced/ Classroom
Certification Pass Guaranteed

4.75 (47845)

View Details Course Curriculum

Azure Fundamentals exam is an opportunity to prove knowledge of cloud concepts, Azure services, Azure workloads, security and privacy in Azure, as well as Azure pricing and support. Candidates should be familiar with the general technology concepts, including concepts of networking, storage, compute, application support, and application development.

In this program you will learn :

Describe Cloud Concepts.

Describe Core Azure Services.

Describe core solutions and management tools on Azure.

Describe general security and network security features.

Describe identity, governance, privacy, and compliance features.

Describe Azure cost management and Service Level Agreements.

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Identify the benefits and considerations of using cloud services Cloud Computing Basics :

Identify the benefits of cloud computing, such as High Availability, Scalability, Elasticity,

Agility, and Disaster Recovery

Identify the differences between Capital Expenditure (Cap Ex) and Operational

Expenditure (Op Ex)

Describe the consumption-based model

Describe the differences between categories of cloud services :

Describe the shared responsibility model

Describe Infrastructure-as-a-Service (IaaS),

Describe Platform-as-a-Service (PaaS)

Describe server less computing

Describe Software-as-a-Service (SaaS)

Identify a service type based on a use case

Describe the differences between types of cloud computing :

Define cloud computing

Describe Public cloud

Describe Private cloud

Describe Hybrid cloud

Compare and contrast the three types of cloud computing

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Describe the core Azure architectural components :

Describe the benefits and usage of Regions and Region Pairs

Describe the benefits and usage of Availability Zones

Describe the benefits and usage of Resource Groups

Describe the benefits and usage of Subscriptions

Describe the benefits and usage of Management Groups

Describe the benefits and usage of Azure Resource Manager

Explain Azure resources

Describe core resources available in Azure :

Describe the benefits and usage of Virtual Machines, Azure App Services, Azure

Container Instances (ACI), Azure Kubernetes Service (AKS), and Azure Virtual Desktop

Describe the benefits and usage of Virtual Networks, VPN Gateway, Virtual Network peering, and ExpressRoute

Describe the benefits and usage of Container (Blob) Storage, Disk Storage, File Storage, and storage tiers

Describe the benefits and usage of Cosmos DB, Azure SQL Database, Azure Database for MySQL, Azure Database for PostgreSQL, and SQL Managed Instance

Describe the benefits and usage of Azure Marketplace

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Describe core solutions available in Azure :

Describe the benefits and usage of Internet of Things (IoT) Hub, IoT Central, and Azure Sphere

Describe the benefits and usage of Azure Synapse Analytics, HDInsight, and Azure Data bricks

Describe the benefits and usage of Azure Machine Learning, Cognitive Services and Azure Bot Service

Describe the benefits and usage of server less computing solutions that include Azure Functions and Logic Apps

Describe the benefits and usage of Azure DevOps, GitHub, GitHub Actions, and Azure Dev Test Labs

Describe Azure management tools :

Describe the functionality and usage of the Azure Portal, Azure PowerShell, Azure CLI, Cloud Shell, and Azure Mobile App

Describe the functionality and usage of Azure Advisor

Describe the functionality and usage of Azure Resource Manager (ARM) templates

Describe the functionality and usage of Azure Monitor

Describe the functionality and usage of Azure Service Health

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Describe Azure security features :

Describe basic features of Azure Security Center, including policy compliance, security alerts, secure score, and resource hygiene

Describe the functionality and usage of Key Vault

Describe the functionality and usage of Azure Sentinel

Describe the functionality and usage of Azure Dedicated Hosts

Describe Azure network security :

Describe the concept of defence in depth

Describe the functionality and usage of Network Security Groups (NSG)

Describe the functionality and usage of Azure Firewall

Describe the functionality and usage of Azure DDoS protection

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DP 200 Implementing an Azure Data Solution

30k LearnersWeekend/WeekdayLive Class

2 Live Project
Self-Paced/ Classroom
Certification Pass Guaranteed

4.9 (24578)

View Details Course Curriculum

Azure data engineers are responsible for data-related implementation tasks that include provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources.

In this program you will learn :

Implement Data Storage Solutions (40-45%).

Manage and Develop Data Processing (25-30%).

Monitor and Optimize Data Solutions (30-35%).

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Implement non-relational data stores :

Implement a solution that uses Cosmos DB, Data Lake Storage Gen2, or Blob storage

Implement data distribution and partitions

Implement a consistency model in Cosmos DB

Provision a non-relational data store

Provide access to data to meet security requirements

Implement for high availability, disaster recovery, and global distribution

Implement relational data stores :

Provide access to data to meet security requirements

Implement for high availability and disaster recovery

Implement data distribution and partitions for azure synapse analytics

Implement poly base

Manage data security :

Implement data masking

Encrypt data at rest and in motion

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Develop batch processing solutions :

Develop batch processing solutions by using Data Factory and Azure Databricks

Ingest data by using Poly Base

Implement the integration runtime for Data Factory

Create linked services and datasets

Create pipelines and activities

Create and schedule triggers

Implement Azure Databricks clusters, notebooks, jobs, and autoscaling

Ingest data into Azure Databricks

Develop streaming solutions :

Configure input and output

Select the appropriate built-in functions

Implement event processing by using stream analytics

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Monitor Data Storage :

Monitor relational and non-relational data stores

Implement blob storage monitoring

Implement data lake storage gen2 monitoring

Implement azure synapse analytics monitoring

Implement cosmos DB monitoring

Configure azure monitor alerts

Implement auditing by using azure log analytics

Monitor data processing :

Monitor Data Factory pipelines

Monitor Azure Databricks

Monitor Stream Analytics

Configure Azure Monitor alerts

Implement auditing by using Azure Log Analytics

Optimize of Azure data solutions :

Troubleshoot data partitioning bottlenecks

Optimize data lake storage gen2

Optimize stream analytics

Optimize azure synapse analytics

Manage the data lifecycle

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Our Placement Guide :

Tips to clear an Interview

Common Interview questions and answers

DP-200 Interview Questions and Answers

Resume Building Guide

Attempt for DP-200 Global Certification Exam

Earn Credentials and Start applying for Jobs

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DP 201 Designing an Azure Data Solution Training

30k LearnersWeekend/WeekdayLive Class

2 Live Project
Self-Paced/ Classroom
Certification Pass Guaranteed

4.8 (98646)

View Details Course Curriculum

Candidates for this exam must design data solutions that use the following Azure services: Azure Cosmos DB, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.

In this program you will learn :

Design Azure Data Storage Solutions.

Design Data Processing Solutions.

Design for Data Security and Compliance.

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Recommend an Azure data storage solution based on requirements :

Choose the correct data storage solution to meet technical & business requirements

Choose the partition distribution type

Design non-relational cloud data stores :

Design data distribution and partitions

Design for scale (including multi-region, latency, and throughput)

Design a solution that uses cosmos DB, data lake storage gen2, or blob storage

Select the appropriate cosmos DB API

Design a disaster recovery strategy

Design for high availability

Design relational cloud data stores :

Design data distribution and partitions

Design for scale (including latency, and throughput)

Design a solution that uses azure synapse analytics

Design a disaster recovery strategy

Design for high availability

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Design batch processing solutions :

Design batch processing solutions that use Data Factory and Azure Databricks

Identify the optimal data ingestion method for a batch processing solution

Identify where processing should take place, such as at the source, at the destination, or in transit

Design real-time processing solutions :

Design for real-time processing by using Stream Analytics and Azure Databricks

Design and provision compute resources

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Design security for source data access :

Plan for secure endpoints (private/public)

Choose the appropriate authentication mechanism, such as access keys, shared access signatures (SAS), and azure active directory (azure ad)

Design security for data policies and standards :

Design data encryption for data at rest and in transit

Design for data auditing and data masking

Design for data privacy and data classification

Design a data retention policy

Plan an archiving strategy

Plan to purge data based on business requirements

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Our Placement Guide :

Tips to clear an Interview

Common Interview questions and answers

DP-201 Interview Questions and Answers

Resume Building Guide

Attempt for DP-201 Global Certification Exam

Earn Credentials and Start applying for Jobs

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DP 203 Data Engineering on Azure Training

30k LearnersWeekend/WeekdayLive Class

2 Live Project
Self-Paced/ Classroom
Certification Pass Guaranteed

4.8 (32567)

View Details Course Curriculum

Azure Data Engineers also help ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. They deal with unanticipated issues swiftly, and they minimize data loss. They also design, implement, monitor, and optimize data platforms to meet the data pipelines needs.

In this program you will learn :

Design and Implement Data Storage.

Design and Develop Data Processing.

Design and Implement Data Security.

Monitor and Optimize Data Storage and Data Processing.

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Design a Data Storage Structure :

Design an Azure Data Lake solution

Recommend file types for storage

Recommend file types for analytical queries

Design for efficient querying

Design for data pruning

Design a folder structure that represents the levels of data transformation

Design a distribution strategy

Design a Partition Strategy :

Design a partition strategy for files

Design a partition strategy for analytical workloads

Design a partition strategy for efficiency/performance

Design a partition strategy for Azure Synapse Analytics

Identify when partitioning is needed in Azure Data Lake Storage Gen2

Design the Serving Layer :

Design star schemas

Design slowly changing dimensions

Design a dimensional hierarchy

Design a solution for temporal data

Design for incremental loading

Design analytical stores

Design meta stores in Azure Synapse Analytics and Azure Data bricks

Implement Physical Data Storage Structures :

Implement compression

Implement partitioning

Implement sharing

Implement different table geometries with Azure Synapse Analytics pools

Implement data redundancy

Implement distributions

Implement data archiving

Implement Logical Data Structures :

Build a temporal data solution

Build a slowly changing dimension

Build a logical folder structure

Build external tables

Implement file and folder structures for efficient querying and data pruning

Implement the Serving Layer :

Deliver data in a relational star schema

Deliver data in Parquet files

Maintain metadata

Implement a dimensional hierarchy

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Ingest and Transform Data :

Transform data by using Apache Spark

Transform data by using Transact-SQL

Transform data by using Data Factory

Transform data by using Azure Synapse Pipelines

Transform data by using Stream Analytics

Cleanse data

Split data

Shred JSON

Encode and decode data

Configure error handling for the transformation

Normalize and deformalize values

Transform data by using Scala

Perform data exploratory analysis

Design and Develop a Batch Processing Solution :

Develop batch processing solutions by using Data Factory, Data Lake, Spark, Azure

Synapse Pipelines, Polybasic, and Azure Data bricks

Create data pipelines

Design and implement incremental data loads

Design and develop slowly changing dimensions

Handle security and compliance requirements

Scale resources

Configure the batch size

Design and create tests for data pipelines

Integrate Jupyter/Python notebooks into a data pipeline

Handle duplicate data

Handle missing data

Handle late-arriving data

Upset data

Regress to a previous state

Design and configure exception handling

Configure batch retention

Design a batch processing solution

Debug Spark jobs by using the Spark UI

Design and Develop a Stream Processing Solution :

Develop a stream processing solution by using Stream Analytics, Azure Data bricks, and

Azure Event Hubs

Process data by using Spark structured streaming

Monitor for performance and functional regressions

Design and create windowed aggregates

Handle schema drift

Process time series data

Process across partitions

Process within one partition

Configure checkpoints/watermarking during processing

Scale resources

Design and create tests for data pipelines

Optimize pipelines for analytical or transactional purposes

Handle interruptions

Design and configure exception handling

Upset data

Replay archived stream data

Design a stream processing solution

Manage Batches and Pipelines :

Trigger batches

Handle failed batch loads

Validate batch loads

Manage data pipelines in Data Factory/Synapse Pipelines

Schedule data pipelines in Data Factory/Synapse Pipelines

Implement version control for pipeline artefacts

Manage Spark jobs in a pipeline

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Design Security for Data Policies and Standards :

Design data encryption for data at rest and in transit

Design a data auditing strategy

Design a data masking strategy

Design for data privacy

Design a data retention policy

Design to purge data based on business requirements

Design Azure role-based access control (Azure RBAC) and POSIX-like Access Control List

(ACL) for Data Lake Storage Gen2

Design row-level and column-level security

Implement Data Security :

Implement data masking

Encrypt data at rest and in motion

Implement row-level and column-level security

Implement Azure RBAC

Implement POSIX-like ACLs for Data Lake Storage Gen2

Implement a data retention policy

Implement a data auditing strategy

Manage identities, keys, and secrets across different data platform technologies

Implement secure endpoints (private and public)

Implement resource tokens in Azure Data bricks

Load a Data Frame with sensitive information

Write encrypted data to tables or Parquet files

Manage sensitive information

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Monitor Data Storage and Data Processing :

Implement logging used by Azure Monitor

Configure monitoring services

Measure performance of data movement

Monitor and update statistics about data across a system

Monitor data pipeline performance

Measure query performance

Monitor cluster performance

Understand custom logging options

Schedule and monitor pipeline tests

Interpret Azure Monitor metrics and logs

Interpret a Spark directed acyclic graph (DAG)

Optimize and Troubleshoot Data Storage and Data Processing :

Compact small files

Rewrite user-defined functions (UDFs)

Handle skew in data

Handle data spill

Tune shuffle partitions

Find shuffling in a pipeline

Optimize resource management

Tune queries by using indexers

Tune queries by using cache

Optimize pipelines for analytical or transactional purposes

Optimize pipeline for descriptive versus analytical workloads

Troubleshoot a failed spark job

Troubleshoot a failed pipeline run

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DP-300 Administering Relational Databases on Azure

30k LearnersWeekend/WeekdayLive Class

2 Live Project
Self-Paced/ Classroom
Certification Pass Guaranteed

4.9 (56559)

View Details Course Curriculum

The Azure Database Administrator implements and manages the operational aspects of cloud-native and hybrid data platform solutions built on Azure Data Services and SQL Server. The Azure Database Administrator uses a variety of methods and tools to perform day-to-day operations, including applying knowledge of using T-SQL for administrative management purposes.

In this program you will learn :

Plan and Implement Data Platform Resources (15-20%).

Implement a Secure Environment (15-20%).

Monitor and Optimize Operational Resources (15-20%).

Optimize Query Performance (5-10%).

Perform Automation of Tasks (10-15%).

Plan and Implement a High Availability and Disaster Recovery (HADR) Environment (15-20%).

Perform Administration by Using T-SQL (10-15%).

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Deploy resources by using manual methods :

deploy database offerings on selected platforms

configure customized deployment templates

apply patches and updates for hybrid and IaaS deployment

Recommend an appropriate database offering based on specific requirements.

evaluate requirements for the deployment

evaluate the functional benefits/impact of possible database offerings

evaluate the scalability of the possible database offering

evaluate the HA/DR of the possible database offering

evaluate the security aspects of the possible database offering

Configure resources for scale and performance :

configure Azure SQL database/elastic pools for scale and performance

configure Azure SQL managed instances for scale and performance

configure SQL Server in Azure VMs for scale and performance

calculate resource requirements

evaluate database partitioning techniques, such as database sharding

set up SQL Data Sync

Evaluate a strategy for moving to Azure .

evaluate requirements for the migration

evaluate offline or online migration strategies

evaluate requirements for the upgrade

evaluate offline or online upgrade strategies

Implement a migration or upgrade strategy for moving to Azure.

implement an online migration strategy

implement an offline migration strategy

implement an online upgrade strategy

implement an offline upgrade strategy

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Configure database authentication by using platform and database tools.

configure Azure AD authentication

create users from Azure AD identities

configure security principals

Configure database authorization by using platform and database tools.

configure database and object-level permissions using graphical tools

apply principle of least privilege for all securables

Implement security for data at rest.

implement Transparent Data Encryption (TDE)

implement object-level encryption

implement Dynamic Data Masking

implement Azure Key Vault and disk encryption for Azure VMs

Implement security for data in transit.

configure server and database-level firewall rules

implement Always Encrypted

Implement compliance controls for sensitive data.

apply a data classification strategy

configure server and database audits

implement data change tracking

perform a vulnerability assessment

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Monitor activity and performance :

prepare an operational performance baseline

determine sources for performance metrics

interpret performance metrics

configure and monitor activity and performance at the infrastructure, server, service, and database levels

Implement performance-related maintenance tasks :

implement index maintenance tasks

implement statistics maintenance tasks

configure database auto-tuning

automate database maintenance tasks

manage storage capacity

Identify performance-related issues :

configure Query Store to collect performance data

identify sessions that cause blocking

assess growth/fragmentation of databases and logs

assess performance-related database configuration parameters

Configure resources for optimal performance :

configure storage and infrastructure resources

configure server and service account settings for performance

configure Resource Governor for performance

Configure a user database for optimal performance :

implement database-scoped configuration

configure compute resources for scaling

configure Intelligent Query Processing (IQP)

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Review query plans :

determine the appropriate type of execution plan

identify problem areas in execution plans

extract query plans from the Query Store

Evaluate performance improvements :

determine the appropriate Dynamic Management Views (DMVs) to gather query performance information

identify performance issues using DMVs

identify and implement index changes for queries

recommend query construct modifications based on resource usage

assess the use of hints for query performance

Review database table and index design :

identify data quality issues with duplication of data

identify normal form of database tables

assess index design for performance

validate data types defined for columns

recommend table and index storage including file groups

evaluate table partitioning strategy

evaluate the use of compression for tables and indexes

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