Azure Training in Oakbrook Terrace,

Microsoft Azure is a cloud computing platform and a set of services offered by Microsoft. It provides a wide array of cloud services, including computing power, storage options, networking, databases, analytics, artificial intelligence (AI), Internet of Things (IoT), and many other tools that businesses and developers can use to build, manage, and deploy applications.

Business Computer Skills offers Azure training classes nationwide and online.

How Azure Works

1. Cloud Computing Model

Microsoft Azure operates under the cloud computing model, which essentially refers to delivering computing services (such as servers, storage, databases, networking, software, and analytics) over the internet ("the cloud") to offer faster innovation, flexible resources, and economies of scale.

Azure allows customers to choose between three cloud service models:

Infrastructure as a Service (IaaS): Provides virtualized computing resources like virtual machines (VMs) over the internet. Users manage the operating systems and applications, while Azure manages the physical infrastructure.
Platform as a Service (PaaS): Offers hardware and software tools over the internet, enabling users to build and deploy applications without managing the underlying infrastructure (servers, storage, etc.). Examples of PaaS on Azure include Azure App Service for hosting web apps, APIs, and mobile backends.
Software as a Service (SaaS): Azure also enables the hosting of software applications that are accessible over the internet, allowing users to run programs without installing them locally. Office 365 is an example of SaaS on Azure.

2. Azure Services Overview

Microsoft Azure offers a range of services categorized under various headings, tailored to meet the needs of businesses of all sizes, developers, and IT professionals:

a. Compute Services

Azure's compute services offer on-demand computing resources like virtual machines, container services, and serverless computing.

Azure Virtual Machines (VMs): Provides Windows and Linux-based virtual machines, allowing businesses to run applications in the cloud without investing in physical servers.
Azure Kubernetes Service (AKS): A managed container orchestration service based on Kubernetes for automating the deployment, scaling, and operations of containerized applications.
Azure Functions: A serverless compute service that lets you run small pieces of code (functions) without worrying about infrastructure.

b. Networking Services

Azure provides a full suite of networking services to connect cloud and on-premises infrastructure.

Azure Virtual Network (VNet): This service allows users to create private networks, define IP addresses, subnets, route tables, and network gateways, and securely connect on-premises networks.
Azure Traffic Manager: This service helps route incoming traffic across multiple global Azure regions to ensure high availability and performance.
Azure ExpressRoute: Enables users to create private connections between Azure data centers and on-premises infrastructure or colocation environments.

c. Storage Services

Azure storage services offer scalable, durable, and highly available storage options for data and applications.

Azure Blob Storage: A scalable object storage solution designed for efficiently handling large volumes of unstructured data like videos, images, and backup files.
Azure Disk Storage: Delivers fast, reliable, and secure disk options tailored for virtual machines, ensuring high performance and durability.
Azure Files: A fully managed file-sharing service in the cloud that allows shared access to files across multiple devices and systems.

d. Databases

Azure offers a range of managed database services for different use cases:

Azure SQL Database: A fully managed relational database based on Microsoft SQL Server.
Azure Cosmos DB: A globally distributed, multi-model database that supports document, key-value, graph, and column-family data models.
Azure Database for MySQL/PostgreSQL: Fully managed database services for open-source MySQL and PostgreSQL databases.

e. AI and Machine Learning

Azure provides several AI and machine learning tools to build intelligent applications.

Azure Cognitive Services: Pre-built APIs that allow developers to embed AI capabilities like speech recognition, computer vision, and language understanding into their applications.
Azure Machine Learning: A cloud service for building, training, and deploying machine learning models quickly and at scale.
Azure Bot Services: Tools for building intelligent bots that interact naturally with users via websites, apps, and messaging platforms.

f. Analytics

Azure offers comprehensive analytics services for big data processing and real-time analytics.

Azure Synapse Analytics: A service that brings together big data and data warehousing for faster analytics and insights.
Azure Data Lake: Scalable storage and analytics service to handle large volumes of data.
Azure Stream Analytics: Real-time analytics service that can process millions of events per second from devices, sensors, or applications.

g. Internet of Things (IoT)

Azure IoT services enable organizations to build IoT applications that connect, monitor, and control IoT assets.

Azure IoT Hub: A central messaging hub for bi-directional communication between IoT applications and the devices it manages.
Azure IoT Edge: Extends cloud intelligence to the edge by running AI, analytics, and machine learning workloads on IoT devices.

h. Security

Azure emphasizes robust security features to protect applications and data.

Azure Security Center: A unified security management system that provides advanced threat protection across hybrid cloud workloads.
Azure Active Directory (Azure AD): A cloud-based identity and access management service that helps organizations control access to applications and protect user identities.

3. Hybrid Cloud and Edge Solutions

Azure also provides services to integrate on-premises infrastructure with cloud environments, enabling hybrid cloud setups:

Azure Arc: Extends Azure management and services to any infrastructure, including on-premises, multi-cloud, and edge environments.
Azure Stack: A family of hybrid cloud solutions that extend Azure�s capabilities to local data centers or remote offices.

4. Development Tools

Azure supports multiple programming languages and frameworks, offering a range of tools for developers:

Visual Studio and Visual Studio Code: Integrated development environments (IDEs) for building, testing, and deploying cloud apps.
DevOps Services (Azure DevOps): Comprehensive DevOps tools for automating CI/CD (continuous integration/continuous deployment), project management, and version control.

5. Global Presence

Microsoft Azure is available in over 60 regions globally, making it one of the most expansive cloud platforms in terms of regional availability. This helps businesses meet regulatory requirements and deliver high-performance applications with low latency for global users.

6. Pricing and Cost Models

Azure follows a pay-as-you-go pricing model, where users are billed for the specific services they use. Pricing varies based on factors like the type of service, the region in which it is deployed, and the level of service. Azure also offers cost management tools to help users monitor and optimize their cloud spending.

7. Use Cases

Azure is used by organizations of all sizes across industries for various use cases:

Hosting Websites and Applications: Azure provides the infrastructure to host everything from simple static websites to complex web applications.
Data Backup and Disaster Recovery: Azure offers secure, reliable backup and recovery solutions for on-premises and cloud data.
AI and Machine Learning: Enterprises use Azure�s AI and machine learning services to build predictive models, automate tasks, and create smart applications.
DevOps and Agile Development: Azure�s DevOps tools help teams automate development pipelines, manage version control, and deploy code faster.
Hybrid Cloud Solutions: Companies can extend their on-premises data centers with Azure for scalable compute, storage, and networking resources.

Microsoft Azure Certifications Available in 2024

1. Fundamentals Certifications

These certifications are ideal for individuals starting their journey with Azure or cloud technology.

Microsoft Certified: Azure Fundamentals (AZ-900)
For beginners who need foundational knowledge of Azure cloud services.
Microsoft Certified: Azure AI Fundamentals (AI-900)
Focuses on Azure�s artificial intelligence services, including machine learning, cognitive services, and natural language processing.
Microsoft Certified: Azure Data Fundamentals (DP-900)
Covers basic data concepts related to Microsoft Azure data services, including databases, data analytics, and data management.

2. Associate-Level Certifications

These are designed for professionals with some Azure experience and focused on role-based competencies.

Microsoft Certified: Azure Administrator Associate (AZ-104)
Focuses on managing Azure services, such as storage, networking, and virtual machines.
Microsoft Certified: Azure Developer Associate (AZ-204)
Intended for developers who build and maintain Azure solutions, including storage, security, and networking.
Microsoft Certified: Azure Security Engineer Associate (AZ-500)
Focuses on implementing security controls, threat protection, and managing identity within Azure.
Microsoft Certified: Azure AI Engineer Associate (AI-102)
Aimed at professionals building AI solutions on Azure, including AI models, cognitive services, and machine learning.
Microsoft Certified: Azure Data Engineer Associate (DP-203)
For professionals designing and implementing data solutions, including data storage, processing, and security.
Microsoft Certified: Azure Database Administrator Associate (DP-300)
This certification targets database professionals who manage cloud and on-premises databases built with Microsoft Azure services.
Microsoft Certified: Azure Solutions Architect Associate (AZ-305)
Designed for professionals responsible for advising stakeholders and translating business requirements into Azure solutions.

3. Expert-Level Certifications

These are for advanced professionals who manage large, complex Azure deployments.

Microsoft Certified: Azure Solutions Architect Expert
Involves advanced knowledge of IT operations, including networking, virtualization, and identity management. It usually requires passing the AZ-305 exam.
Microsoft Certified: Azure DevOps Engineer Expert (AZ-400)
Focuses on DevOps strategies in Azure, including continuous integration, delivery, and monitoring.

4. Specialty Certifications

These certifications cover niche areas and advanced skills within Azure.

Microsoft Certified: Azure IoT Developer Specialty (AZ-220)
Focuses on building and managing IoT solutions using Azure services.
Microsoft Certified: Azure Virtual Desktop Specialty (AZ-140)
Covers deploying, configuring, and managing Azure Virtual Desktop solutions.
Microsoft Certified: Azure Cosmos DB Developer Specialty (DP-420)
Designed for developers who design, implement, and manage Cosmos DB solutions.

Certification Paths

Each certification typically requires passing one or two exams, and Microsoft also offers learning paths and preparation resources through Microsoft Learn. The certifications are role-based, meaning they align with job functions like administrator, developer, and architect, ensuring practical, job-ready skills.

These certifications are regularly updated, so it�s a good idea to check Microsoft's certification page for any new additions or updates throughout the year.

Jobs that Use Microsoft Azure

1. Cloud Solutions Architect

Responsibilities: Designing and implementing scalable and secure cloud solutions using Azure.
Skills: Cloud architecture, Azure services, DevOps, security, and cost management.

2. Azure Developer

Responsibilities: Developing cloud-based applications using Azure services like App Services, Azure Functions, and Logic Apps.
Skills: .NET, C#, Azure DevOps, serverless computing, and microservices.

3. DevOps Engineer

Responsibilities: Managing Azure infrastructure, automating deployments, and ensuring high availability and reliability of cloud services.
Skills: Azure DevOps, CI/CD pipelines, containers (Docker, Kubernetes), automation with PowerShell, or Azure CLI.

4. Data Engineer

Responsibilities: Building and managing data pipelines using Azure services such as Azure Data Factory, Azure SQL, or Azure Synapse Analytics.
Skills: Data transformation, SQL, data modeling, ETL processes, and big data tools like Databricks and HDInsight.

5. AI/Machine Learning Engineer

Responsibilities: Developing machine learning models using Azure Machine Learning, Cognitive Services, and other AI tools.
Skills: Python, AI frameworks (TensorFlow, PyTorch), data science, and deep learning models.

6. Database Administrator (DBA)

Responsibilities: Managing databases hosted on Azure, such as Azure SQL, Cosmos DB, and MySQL/PostgreSQL on Azure.
Skills: Database optimization, backup strategies, disaster recovery, and performance tuning.

7. Cloud Security Engineer

Responsibilities: Implementing and maintaining security controls on Azure, ensuring compliance and protecting sensitive data.
Skills: Azure Security Center, Azure Policy, identity management, and network security.

8. Azure Consultant

Responsibilities: Advising clients on Azure adoption, migration strategies, and cloud best practices.
Skills: Cloud migrations, cost optimization, and Azure governance.

9. System Administrator (SysAdmin)

Responsibilities: Managing and maintaining Azure virtual machines, storage, and networking infrastructure.
Skills: Windows/Linux administration, Azure Active Directory, and networking in Azure.

10. Cloud Support Engineer

Responsibilities: Providing technical support for Azure services, resolving incidents, and offering troubleshooting guidance.
Skills: Incident management, technical troubleshooting, and knowledge of various Azure services.

11. Azure IoT Engineer

Responsibilities: Designing and implementing IoT solutions using Azure IoT Hub, Azure IoT Edge, and other related services.
Skills: IoT protocols, device management, edge computing, and real-time data analytics.

12. Business Intelligence (BI) Analyst

Responsibilities: Creating data visualizations and reports using tools like Power BI, integrated with Azure data services.
Skills: Data analysis, Power BI, SQL, and working with Azure data storage.

13. Azure AI Chatbot Developer

Responsibilities: Developing AI-powered chatbots using Azure Bot Service and integrating them with business applications.
Skills: Natural Language Processing (NLP), Azure Bot Service, and Cognitive Services.

14. Cloud Network Engineer

Responsibilities: Managing and optimizing networking services in Azure, including Virtual Networks, Load Balancers, and VPNs.
Skills: Networking protocols, network security, and routing in Azure.

15. Azure Trainer/Instructor

Responsibilities: Training individuals or teams on Azure technologies, certifications, and best practices.
Skills: Deep knowledge of Azure services and teaching experience.

Certifications for Azure-Related Jobs

Microsoft Certified: Azure Fundamentals (for beginners)
Microsoft Certified: Azure Administrator Associate
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: Azure Developer Associate
Microsoft Certified: Azure Security Engineer Associate

We offer live-instructor group training classes for your team.

Upskill your team from the comfort of your office or online.

Benefits of Group Training Include:

Experienced Professional Instructor Trains Your Team
Content Focused On Your Team's Needs
Convenient Scheduling and Class Setup
Significant Per/Student Cost Savings
Online, On-Site and Blended Options Available

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