Microsoft Azure Online Training in India

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.

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.

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.

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.

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.

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.

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 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.

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.

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