Home
All Courses
Professional Course
Cloud Computing
Cloud Computing
Curriculum
10 Sections
38 Lessons
36 Hours
Expand all sections
Collapse all sections
Module 1: Introduction to Cloud Computing
4
1.1
What is Cloud Computing? Overview & Benefits
1.2
Cloud Service Models (IaaS, PaaS, SaaS)
1.3
Cloud Deployment Models (Public, Private, Hybrid, Multi-Cloud)
1.4
Introduction to Leading Cloud Providers (AWS, Azure, GCP)
Module 2: Virtualization & Cloud Infrastructure
4
2.1
Virtual Machines (VMs) & Containers (Docker, Kubernetes)
2.2
Serverless Computing & Functions as a Service (FaaS)
2.3
Cloud Storage Solutions (S3, Blob Storage, Google Cloud Storage)
2.4
Load Balancing, Auto-scaling & High Availability
Module 3: Cloud Networking & Security
4
3.1
Virtual Private Cloud (VPC) & Networking in the Cloud
3.2
Identity and Access Management (IAM)
3.3
Cloud Security Best Practices & Compliance
3.4
Encryption & Data Protection in the Cloud
Module 4: Working with AWS
4
4.1
Introduction to AWS Console & Services
4.2
EC2 (Elastic Compute Cloud) and S3 (Simple Storage Service)
4.3
AWS IAM (Identity and Access Management)
4.4
AWS Lambda (Serverless Computing) & CloudFormation
Module 5: Working with Microsoft Azure
4
5.1
Overview of Azure Services
5.2
Virtual Machines, Storage, and Networking in Azure
5.3
Azure Active Directory & Role-Based Access Control (RBAC)
5.4
Deploying Applications on Azure App Services
Module 6: Working with Google Cloud Platform (GCP)
4
6.1
Introduction to Google Cloud Console
6.2
Compute Engine, Cloud Storage, and Cloud Functions
6.3
BigQuery & Data Analytics in GCP
6.4
Cloud Identity & Security in Google Cloud
Module 7: DevOps & Cloud Automation
4
7.1
Introduction to DevOps in the Cloud
7.2
Infrastructure as Code (Terraform, CloudFormation)
7.3
CI/CD Pipelines with Jenkins, GitHub Actions, and Cloud Build
7.4
Monitoring & Logging with CloudWatch, Azure Monitor, and Stackdriver
Module 8: Cloud Migration & Cost Optimization
4
8.1
Cloud Migration Strategies & Best Practices
8.2
Hybrid Cloud & Multi-Cloud Management
8.3
Cost Optimization & Billing Strategies
8.4
Case Studies on Cloud Adoption
Module 9: Real-World Cloud Projects
3
9.1
Deploying a Scalable Web Application on AWS/Azure/GCP
9.2
Setting Up a Secure Cloud-Based Data Pipeline
9.3
Implementing a Serverless Application with Cloud Functions
Module 10: Certification Preparation & Career Support
3
10.1
AWS Certified Solutions Architect / Azure Fundamentals / Google Cloud Associate Exam Prep
10.2
Resume Building & Interview Preparation for Cloud Roles
10.3
Final Project Submission & Certification Completion
This content is protected, please
login
and
enroll
in the course to view this content!
Cloud Service Models (IaaS, PaaS, SaaS)
Home
About us
Courses
Computer Science
Professional Course
Information Technology
Language Learning
Contact us
Modal title
Main Content