The Microsoft Azure AI Professional Training program from Global Information Technology is a comprehensive, career-focused certification pathway designed to build strong foundations in cloud computing, artificial intelligence, and Azure administration.

This program combines Azure Fundamentals (AZ-900), Azure AI Fundamentals (AI-900), and Azure Administrator (AZ-104) to prepare learners for modern cloud and AI-driven job roles.

Students gain hands-on experience with Azure services, AI workloads, machine learning concepts, and real-world cloud administration, enabling them to confidently design, manage, and support intelligent cloud solutions.

This program prepares you for globally recognized Microsoft certifications, including AZ-900, AI-900, and AZ-104, giving you a strong competitive edge in the job market. It provides a powerful entry into high-growth Cloud and Artificial Intelligence career paths, combining both foundational knowledge and practical skills.

Through hands-on Azure lab experience, you will gain real-world exposure to cloud environments and AI workloads, ensuring you are job-ready from day one. The course is thoughtfully designed to cover both traditional cloud technologies and modern AI innovations, helping you stay relevant in today’s evolving tech landscape.

With a structured learning path that progresses from beginner to intermediate levels, this program builds a solid foundation for advanced certifications such as AI-102 and DP-100. Most importantly, it equips you with high-demand skills that are actively sought after by employers across the United States and globally.

Who Should Attend

This course is ideal for individuals who want to build a strong and future-ready career in Cloud Computing and Artificial Intelligence. It is perfectly suited for aspiring Cloud Engineers and Azure Administrators looking to gain hands-on expertise in Microsoft Azure.

Beginners who are curious about Artificial Intelligence and Machine Learning will find this program approachable and structured, even without prior technical experience. IT professionals who want to transition into cloud and AI-driven roles can use this course as a powerful stepping stone into high-demand career paths.

Developers and Software Engineers aiming to expand their skills into cloud platforms and intelligent applications will benefit from practical exposure to Azure services. Data Analysts and Data Engineers can enhance their capabilities by integrating AI and cloud technologies into their workflows.

This program is also an excellent choice for fresh graduates or career switchers seeking a clear entry point into the Cloud and AI industry. Additionally, business professionals and decision-makers who want to understand AI capabilities and leverage them for innovation and strategic growth will find this course highly valuable.

Prerequisites:

There are no prerequisites for taking this course. However, the more technical knowledge a student has, the more they will understand about the cloud.

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‍Microsoft Azure Fundamentals AZ – 900

• Cloud concepts (IaaS, PaaS, SaaS, Serverless)
• Core Azure services and architecture
• Security, compliance, and pricing models
• Azure governance and resource management

Microsoft Azure AI Fundamentals AI-900

• AI workloads and responsible AI principles
• Machine learning concepts on Azure
• Computer vision workloads (image, OCR, detection)
• Natural Language Processing (NLP) and speech services
• Generative AI and Azure OpenAI overview
• Azure AI services (Vision, Language, ML)

Microsoft Azure Administrator AZ-104

• Azure identities and governance
• Virtual networks and connectivity
• Compute services (VMs, containers)
• Storage solutions and data management
• Monitoring, backup, and disaster recovery
• Resource deployment and management

This program equips you with end-to-end knowledge across Azure cloud and AI technologies:

• Core cloud concepts and Azure architecture
• Azure services: compute, storage, networking, and security
• Identity and access management in Azure
• Monitoring, backup, and resource management
• Artificial Intelligence (AI) workloads and use cases
• Machine learning fundamentals and Azure ML concepts
• mputer vision and NLP workloads
• Generative AI and Azure OpenAI fundamentals
• Responsible AI principles and governance
• Real-world Azure administration and deployment scenarios