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Microsoft Azure is a public cloud computing platform that offers a variety of services, including compute, analytics, storage, and networking. Businesses can use these services to build and scale new applications or run existing ones in the cloud. Azure helps organizations meet their goals by offering tools that support various industries, such as e-commerce and finance. It's compatible with open-source technologies, giving users the flexibility to work with their preferred tools.
Azure provides four types of cloud computing models: infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS), and serverless computing. With its wide range of services, Azure is used for diverse purposes, including running virtual machines or containers to host infrastructure components like DNS servers, Windows Server services (such as IIS), or third-party applications. Azure also supports operating systems like Linux.
Another common use of Azure is hosting databases in the cloud. It offers serverless relational databases like Azure SQL and non-relational options such as NoSQL. Additionally, many organizations use Azure for backup, disaster recovery, and long-term data storage to meet retention requirements.
This foundational module introducesstudents to artificial intelligence concepts and Azure AI services. It buildsconfidence in understanding AI workloads and responsible AI practices withoutrequiring prior coding or data science experience.
You will:
There are no mandatory prerequisites forthis course. However, basic familiarity with cloud concepts, programmingfundamentals, and data concepts will help students progress more quicklythrough the intermediate modules.
Microsoft Azure AI Fundamentals (AI-900) isan entry-level certification course that introduces the core concepts ofartificial intelligence (AI) and the Microsoft Azure AI services used to buildintelligent solutions. This module is designed for both technical andnon-technical learners who want to understand how AI workloads such as machinelearning, computer vision, natural language processing, and generative AI workin the Azure cloud.
The course builds a strong foundation inresponsible AI principles and Azure AI capabilities, preparing students toconfidently pursue more advanced Azure AI and data science certifications.
In this module, students will learn how to:
Yes. AI-900 is designed as a foundational courseand is suitable for both technical and non-technical learners.
No programming experience is required. The coursefocuses on concepts and Azure AI service understanding.
This module prepares you for the MicrosoftCertified: Azure AI Fundamentals (AI-900) certification exam.
AI-900 is considered a beginner-level exam and isone of the easiest entry points into Microsoft’s AI certification pathway whenproper training is completed.
AI-900 is valuable for IT professionals, businessanalysts, project managers, developers, students, and anyone interested inunderstanding AI in the cloud.
After completing AI-900, students typicallyprogress to:
These role-based certifications build onthe AI fundamentals learned in this module.
Students are encouraged to:
Most students are ready to attempt:
Hands-on lab practice significantlyimproves success rates.
The demand for AI, machine learning, and cloud professionals continues to growrapidly in the U.S. and globally. Organizations are actively adoptinggenerative AI, automation, and cloud-based analytics, creating strong hiringdemand for professionals skilled in Azure AI, Azure Machine Learning, andmodern MLOps practices.
Call Toll Free: (866)-GO-GIT-GO
Email: info@global-itech.com
Microsoft Azure is a public cloud computing platform that offers a variety of services, including compute, analytics, storage, and networking. Businesses can use these services to build and scale new applications or run existing ones in the cloud. Azure helps organizations meet their goals by offering tools that support various industries, such as e-commerce and finance. It's compatible with open-source technologies, giving users the flexibility to work with their preferred tools.
Azure provides four types of cloud computing models: infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS), and serverless computing. With its wide range of services, Azure is used for diverse purposes, including running virtual machines or containers to host infrastructure components like DNS servers, Windows Server services (such as IIS), or third-party applications. Azure also supports operating systems like Linux.
Another common use of Azure is hosting databases in the cloud. It offers serverless relational databases like Azure SQL and non-relational options such as NoSQL. Additionally, many organizations use Azure for backup, disaster recovery, and long-term data storage to meet retention requirements.
This foundational module introducesstudents to artificial intelligence concepts and Azure AI services. It buildsconfidence in understanding AI workloads and responsible AI practices withoutrequiring prior coding or data science experience.
You will:
There are no mandatory prerequisites forthis course. However, basic familiarity with cloud concepts, programmingfundamentals, and data concepts will help students progress more quicklythrough the intermediate modules.
Microsoft Azure AI Fundamentals (AI-900) isan entry-level certification course that introduces the core concepts ofartificial intelligence (AI) and the Microsoft Azure AI services used to buildintelligent solutions. This module is designed for both technical andnon-technical learners who want to understand how AI workloads such as machinelearning, computer vision, natural language processing, and generative AI workin the Azure cloud.
The course builds a strong foundation inresponsible AI principles and Azure AI capabilities, preparing students toconfidently pursue more advanced Azure AI and data science certifications.
In this module, students will learn how to:
Yes. AI-900 is designed as a foundational courseand is suitable for both technical and non-technical learners.
No programming experience is required. The coursefocuses on concepts and Azure AI service understanding.
This module prepares you for the MicrosoftCertified: Azure AI Fundamentals (AI-900) certification exam.
AI-900 is considered a beginner-level exam and isone of the easiest entry points into Microsoft’s AI certification pathway whenproper training is completed.
AI-900 is valuable for IT professionals, businessanalysts, project managers, developers, students, and anyone interested inunderstanding AI in the cloud.
After completing AI-900, students typicallyprogress to:
These role-based certifications build onthe AI fundamentals learned in this module.
Students are encouraged to:
Most students are ready to attempt:
Hands-on lab practice significantlyimproves success rates.
The demand for AI, machine learning, and cloud professionals continues to growrapidly in the U.S. and globally. Organizations are actively adoptinggenerative AI, automation, and cloud-based analytics, creating strong hiringdemand for professionals skilled in Azure AI, Azure Machine Learning, andmodern MLOps practices.
Call Toll Free: (866)-GO-GIT-GO
Email: info@global-itech.com
Microsoft Azure is a public cloud computing platform that offers a variety of services, including compute, analytics, storage, and networking. Businesses can use these services to build and scale new applications or run existing ones in the cloud. Azure helps organizations meet their goals by offering tools that support various industries, such as e-commerce and finance. It's compatible with open-source technologies, giving users the flexibility to work with their preferred tools.
Azure provides four types of cloud computing models: infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS), and serverless computing. With its wide range of services, Azure is used for diverse purposes, including running virtual machines or containers to host infrastructure components like DNS servers, Windows Server services (such as IIS), or third-party applications. Azure also supports operating systems like Linux.
Another common use of Azure is hosting databases in the cloud. It offers serverless relational databases like Azure SQL and non-relational options such as NoSQL. Additionally, many organizations use Azure for backup, disaster recovery, and long-term data storage to meet retention requirements.
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This foundational module introducesstudents to artificial intelligence concepts and Azure AI services. It buildsconfidence in understanding AI workloads and responsible AI practices withoutrequiring prior coding or data science experience.
You will:
There are no mandatory prerequisites forthis course. However, basic familiarity with cloud concepts, programmingfundamentals, and data concepts will help students progress more quicklythrough the intermediate modules.
Microsoft Azure AI Fundamentals (AI-900) isan entry-level certification course that introduces the core concepts ofartificial intelligence (AI) and the Microsoft Azure AI services used to buildintelligent solutions. This module is designed for both technical andnon-technical learners who want to understand how AI workloads such as machinelearning, computer vision, natural language processing, and generative AI workin the Azure cloud.
The course builds a strong foundation inresponsible AI principles and Azure AI capabilities, preparing students toconfidently pursue more advanced Azure AI and data science certifications.
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In this module, students will learn how to:
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Yes. AI-900 is designed as a foundational courseand is suitable for both technical and non-technical learners.
No programming experience is required. The coursefocuses on concepts and Azure AI service understanding.
This module prepares you for the MicrosoftCertified: Azure AI Fundamentals (AI-900) certification exam.
AI-900 is considered a beginner-level exam and isone of the easiest entry points into Microsoft’s AI certification pathway whenproper training is completed.
AI-900 is valuable for IT professionals, businessanalysts, project managers, developers, students, and anyone interested inunderstanding AI in the cloud.
After completing AI-900, students typicallyprogress to:
These role-based certifications build onthe AI fundamentals learned in this module.
Students are encouraged to:
Most students are ready to attempt:
Hands-on lab practice significantlyimproves success rates.
The demand for AI, machine learning, and cloud professionals continues to growrapidly in the U.S. and globally. Organizations are actively adoptinggenerative AI, automation, and cloud-based analytics, creating strong hiringdemand for professionals skilled in Azure AI, Azure Machine Learning, andmodern MLOps practices.
Call Toll Free: (866)-GO-GIT-GO
Email: info@global-itech.com
Expanded baseline security topics essential for IT support, including physical vs. logical security concepts, malware, and more.
A revised approach to operational procedures, covering basic disaster prevention, recovery, and scripting basics.
A stronger focus on networking and device connectivity
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