Cloud Intelligence & Virtual Infrastructure Program (AI on Microsoft Azure + Virtualization & Server Administration)
About Course
The program begins with core concepts of cloud computing, AI, and Microsoft Azure, covering machine learning, computer vision, language processing, and predictive analytics using Azure AI Services and Azure Machine Learning Studio. Learners then progress to virtualization and server management, working with tools such as VMware, Hyper-V, and VirtualBox, and managing Windows & Linux servers.
Through hands-on labs, learners will deploy virtual machines, configure servers, manage networks, and understand how AI workloads run on virtualized cloud infrastructure. The course concludes with practical use cases that combine AI services deployed on virtual/cloud environments.
Duration: 45 Days
Total Hours: 90 Hours
Mode: Practical-Oriented Training (2Hours/Day)
Course Content
Module-1: Cloud Computing & Program Foundations (6 Hours)
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Cloud computing concepts (IaaS, PaaS, SaaS)
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Public, private & hybrid cloud models
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Introduction to Microsoft Azure portal
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AI + Cloud + Infrastructure overview
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Practical: Azure account setup & portal navigation
Module-2: Artificial Intelligence Fundamentals (8 Hours)
Module-3: Azure AI Services (12 Hours)
Module-4: Azure Machine Learning Studio (No-Code ML) (10 Hours)
Module-5: Responsible AI & Data Handling (6 Hours)
Module-6: Virtualization Concepts & Hypervisors (8 Hours)
Module-7: Windows Server Administration (10 Hours)
Module-8: Linux Server Administration (8 Hours)
Module-9: Virtual Networking, Storage & Security (8 Hours)
Module-10: Automation, Integration & Deployment (6 Hours)
Module-11: Mini Project & Evaluation (8 Hours)
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