Azure Cloud Computing Course (Self-Paced Professional Training)

The Azure Cloud Computing Course – Beginner to Intermediate is a practical, industry-aligned training program designed for students, IT professionals, and career switchers who want to build strong foundational and intermediate skills in cloud computing using Microsoft Azure.

This course begins with cloud computing fundamentals, helping learners understand how cloud technology powers everyday applications, enables global collaboration, and replaces traditional on-premise infrastructure. You will explore cloud service models, pricing strategies, and data center architectures, gaining clarity on why organizations migrate to the cloud.

As the course progresses, you will gain hands-on knowledge of Azure Virtual Machines, storage services, networking concepts, identity and access management (RBAC), monitoring, and troubleshooting. You will also work with Azure SQL Database, Cosmos DB, CDN, IoT Hub, and Power BI, building a modern understanding of cloud-based data handling and analytics.

The program further introduces Azure AI and Machine Learning services, including Cognitive Services and Azure Machine Learning Studio, enabling learners to understand how cloud platforms support AI-driven applications.

By the end of this course, learners will have a job-ready understanding of Azure cloud architecture, practical experience with core Azure services, and the confidence to pursue entry-level cloud roles or Azure certification paths.

What You Will Learn (Module Highlights)

Cloud Computing Foundations

• Cloud computing concepts and real-world applications

• Benefits of cloud adoption: scalability, accessibility, collaboration

• NIST cloud definition and essential characteristics

• Pay-as-you-go pricing and cost optimization

Azure Infrastructure & Virtualization

• Global data centers, regions, and availability zones

• Disaster recovery, redundancy, and compliance

• Virtualization fundamentals and hypervisors

• Public, private, and hybrid cloud models

Azure Core Services

• Compute, storage, networking, and database services

• IaaS vs PaaS service models and use cases

• Azure Virtual Machine creation, authentication, and monitoring

Azure Storage & Data Management

• Blob, File, Queue, Table, and Disk storage

• Redundancy models (LRS, GRS, ZRS)

• Data lifecycle management and security

• CDN and static website hosting

Databases, Analytics & AI

• Azure SQL Database and Cosmos DB

• Global scalability and NoSQL concepts

• Data visualization using Power BI

• Azure Cognitive Services and Machine Learning Studio

• Introduction to vector databases for AI workloads

Learning Outcomes

After completing this course, you will be able to:

• Explain cloud computing concepts and pricing models

• Understand Azure regions, availability zones, and data centers

• Create and manage Azure Virtual Machines securely

• Choose and implement appropriate Azure storage solutions

• Deploy and manage Azure databases

• Understand Azure AI and Machine Learning services

• Apply cloud concepts to real-world business scenarios