Azure Cloud Computing (With Internship Certificate , Mentor-Led Cloud Training)

The Azure Cloud Computing – Beginner to Intermediate course is a comprehensive, industry-aligned program designed to help learners build strong foundational and practical skills in cloud computing using Microsoft Azure, one of the world’s most widely used cloud platforms.

This course begins by introducing the core concepts of cloud computing, explaining how cloud technology powers everyday applications and modern businesses. Learners understand cloud benefits such as scalability, backup, collaboration, accessibility, and cost efficiency through real-life examples.

You will explore cloud definitions, pricing models, and service characteristics, including the pay-as-you-go model, renting vs. owning infrastructure, and how cloud computing compares with traditional IT systems. The course then dives into cloud infrastructure and data centers, covering global data center networks, disaster recovery, compliance, Azure regions, and availability zones.

With a strong conceptual base, learners move into Microsoft Azure fundamentals, understanding virtualization, hypervisors, and cloud deployment models such as public, private, and hybrid cloud. You will gain hands-on experience with Azure core services, including compute, storage, networking, and databases, while learning how to choose the right service model (IaaS or PaaS) for real-world use cases.

The course provides practical exposure to Azure Virtual Machines, covering VM creation, configuration, authentication methods (SSH/RDP), role-based access control (RBAC), monitoring, and troubleshooting. You will also master Azure Storage solutions, including Blob, File, Queue, Table, and Disk storage, redundancy models, lifecycle management, and data security best practices.

Advanced modules cover data management, Content Delivery Networks (CDN), IoT integration, and Azure databases such as Azure SQL Database and Cosmos DB. Learners also explore Power BI for data visualization, vector databases for AI, and Azure AI & Machine Learning services, including Cognitive Services and Azure Machine Learning Studio.

Each lecture includes:

• Video lectures with subtitles

• Detailed notes for every lecture

• 10 quiz questions per lecture to enhance engagement and retention

The program is delivered in a self-paced format with mentor-led support, making it ideal for students, working professionals, and career switchers. On successful completion, learners receive both a Course Completion Certificate and an Internship Completion Certificate, strengthening their cloud computing career profile.

What You Will Learn

• Cloud computing fundamentals and real-world applications

• Cloud pricing models and cost optimization

• Azure regions, availability zones, and data centers

• Virtualization and Azure deployment models

• Azure compute, storage, networking, and database services

• Managing and securing Azure Virtual Machines

• Azure storage types and data lifecycle management

• CDN, IoT Hub, and modern data handling

• Azure SQL, Cosmos DB, and Power BI

• Azure AI and Machine Learning services

Learning Outcomes

By the end of this course, learners will be able to:

• Explain cloud computing concepts and business benefits

• Compare cloud service models and pricing strategies

• Understand global cloud infrastructure and availability

• Configure and manage Azure virtual environments

• Implement Azure storage and database solutions

• Visualize and analyze data using Power BI

• Apply Azure AI and ML tools to real-world scenarios