Cloud Computing Fundamentals with AWS & Azure Practical Training Course

Duration: 48 Hours

Schedule: 4 hours per day × 2 days per week × 6 weeks

Target Audience:

• Undergraduate students (Computer Science, IT, Engineering)
• Prerequisites: Basic knowledge of computer networks, operating systems, and web applications

Course Objectives

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

• Understand the core principles of cloud computing (IaaS, PaaS, SaaS)
• Navigate AWS and Azure portals
• Deploy basic cloud infrastructure (VMs, storage, databases, networking)
• Use cloud services to host websites and applications
• Apply best practices for cloud security and cost management

Course Modules

 Introduction to Cloud & AWS Basics

Theory:

• What is Cloud Computing?
• Public vs Private vs Hybrid Cloud
• Service Models (IaaS, PaaS, SaaS)
• Overview of AWS and Azure
• AWS Free Tier Account setup

Practical:

• Lab: Set up AWS Free Tier Account
• Lab: Navigate the AWS Management Console
• Lab: Launch EC2 (Linux and Windows) with security groups
• Lab: Connect to EC2 using SSH / RDP

 Azure Basics & Compute Services

Theory:

• Azure global infrastructure (Regions, Zones, Resource Groups)
• Overview of Compute Services in Azure
• Cost Management & Budgeting in the Cloud

Practical:

• Lab: Create a Microsoft Azure Student Account
• Lab: Create Resource Groups and Virtual Machines in Azure
• Lab: Apply NSGs (Network Security Groups) for secure access
• Lab: Compare pricing models in Azure and AWS

 Storage Services and Identity Management

Theory:

• Introduction to AWS S3 and Azure Blob Storage
• IAM: Identity and Access Management basics
• Shared Responsibility Model

Practical:

• Lab: Upload and access files using AWS S3 and Azure Blob
• Lab: Set permissions and lifecycle policies on storage
• Lab: Create IAM Users, Roles, and Policies in AWS
• Lab: Create Azure RBAC roles and manage access

Networking and Load Balancing

Theory:

• VPC in AWS vs Virtual Network in Azure
• Subnets, Route Tables, Internet Gateways
• Load Balancers and Availability Zones

Practical:

• Lab: Create a custom VPC with public and private subnets (AWS)
• Lab: Create a Virtual Network and subnet configuration (Azure)
• Lab: Deploy Load Balancer in AWS and Azure
• Lab: Configure health checks and test HA scenarios

Databases, Monitoring & Security

Theory:

• Managed Database Services: RDS (AWS), Azure SQL
• Basics of monitoring: CloudWatch (AWS), Azure Monitor
• Cloud Security Best Practices

Practical:

• Lab: Deploy an RDS MySQL Instance (AWS)
• Lab: Create Azure SQL Database and test connection
• Lab: Set up basic CloudWatch monitoring and alarms
• Lab: Use Azure Monitor and Log Analytics
• Lab: Apply security recommendations using AWS Trusted Advisor and Azure Security Center

Capstone Project and Final Assessment

Capstone Project:
Students work in small teams to design and deploy a basic cloud solution including:

• A web application hosted on an EC2/Azure VM or App Service
• Cloud storage integration (S3 / Blob)
• Database backend (RDS / Azure SQL)
• IAM controls and monitoring

Assessment:

• Practical Demo (Group Presentation)
• Final Quiz (25%)
• Capstone Evaluation (50%)
• Student Participation (25%)

 Certificate of Completion

Students who complete the course and pass the final assessment will receive from (JELECOM):
“Certificate in Cloud Computing Fundamentals – AWS & Azure”

 

 

 

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