Cloud Computing

"Architect Scalable Infrastructure and Dominate the Cloud Ecosystem"

Master the platforms that power the world’s digital economy. Gain hands-on experience with AWS, Microsoft Azure, and Google Cloud, learning to design, deploy, and manage highly available and secure cloud-native applications for enterprise-scale businesses.
Rated 5 out of 5

Course Overview

Cloud Computing is the delivery of computing services such as servers, storage, databases, networking, software, and analytics over the internet (“the cloud”). This course provides learners with a strong foundation in cloud concepts, service models, deployment models, and hands-on experience with leading cloud platforms.

Students will learn how to design, deploy, manage, and secure cloud-based applications and infrastructure.

Course Objectives

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

Cloud Computing Course Lessons (6 Months Duration)

  • Definition and evolution of cloud computing
  • Traditional vs cloud computing
  • Characteristics of cloud computing
  • Advantages and limitations
  • Cloud computing use cases
  • Infrastructure as a Service (IaaS)
  • Platform as a Service (PaaS)
  • Software as a Service (SaaS)
  • Comparison of service models
  • Real-world examples
  • Public cloud
  • Private cloud
  • Hybrid cloud
  • Community cloud
  • Use cases for each deployment model
  • Cloud reference architecture
  • Virtualization concepts
  • Hypervisors
  • Containers and containerization basics
  • Microservices overview
  • Virtual machines
  • Cloud storage (object, block, file storage)
  • Cloud networking basics
  • Load balancers and auto-scaling
  • Resource provisioning
  • Introduction to AWS
  • Introduction to Microsoft Azure
  • Introduction to Google Cloud Platform (GCP)
  • Comparison of major cloud providers
  • Shared responsibility model
  • Identity and Access Management (IAM)
  • Data security and encryption
  • Network security basics
  • Compliance and privacy
  • Cloud monitoring tools
  • Logging and performance monitoring
  • Cost management and optimization
  • Backup and disaster recovery
  • Overview of DevOps
  • CI/CD concepts
  • Infrastructure as Code (IaC) basics
  • Introduction to Docker and Kubernetes
  • Deploying web applications on cloud
  • Serverless computing basics
  • APIs and cloud services integration
  • Cloud-native applications
  • Industry case studies
  • Hands-on labs
  • Mini project / capstone project
  • Project documentation and presentation

Instructor

Joshua Hamilton

Data Science Expert

This course includes:

Teaching Methodology

  • Classroom / online lectures
  • Hands-on lab sessions
  • Real-time cloud demonstrations
  • Assignments and quizzes
  • Project-based learning

Eligibility

  • Basic computer knowledge
  • Networking fundamentals preferred (not mandatory)
  • Suitable for students, freshers, and working professionals

Tools & Technologies

  • AWS / Azure / GCP (any one or more)
  • Virtual Machines
  • Cloud Storage Services
  • Docker (introductory)
  • Kubernetes (basics)
  • Git & GitHub

Career Opportunities

  • Cloud Engineer
  • Cloud Administrator
  • DevOps Engineer
  • Cloud Solutions Architect (Entry-Level)
  • System Administrator
  • Site Reliability Engineer (SRE – Junior)

Salary Expectations in Cloud Computing (India)

  • Entry Level: ₹4 – ₹7 LPA
  • Mid Level: ₹8 – ₹15 LPA
  • Senior Level: ₹18 LPA and above
Testimonial

What alumni say about us

Related courses

3 Months Duration

Rated 5 out of 5

6 Months Duration (including Internship)

Rated 5 out of 5

6 Months Duration

Rated 5 out of 5
College Admission
Rated 5 out of 5