📌 Duration: 6 Months (24 Weeks)
📌 Mode: Instructor-Led Training (Classroom/Online)
📌 Prerequisites: Basic Networking & Linux Knowledge (Not Mandatory)
📌 Certification: Industry-Recognized Certificate + Guidance for AWS, Azure & GCP Certifications

📖 Course Structure & Learning Objectives

This course provides a deep dive into cloud computing, covering architecture, deployment models, security, DevOps integration, and cloud-native application development. Participants will:
✅ Master AWS, Microsoft Azure, and Google Cloud Platform (GCP).
✅ Understand Cloud Architecture, Deployment Models & Security Practices.
✅ Gain hands-on experience with Kubernetes, Serverless, and CI/CD Pipelines.
✅ Work on Real-World Case Studies & Industry Projects.

📖 Course Syllabus

📌 Module 1: Cloud Computing Fundamentals (Weeks 1-4)

1.1 Introduction to Cloud Computing

• Evolution of Cloud Computing
• Traditional IT vs Cloud Infrastructure
• Cloud Service Models (IaaS, PaaS, SaaS)
• Cloud Deployment Models (Public, Private, Hybrid, Multi-Cloud)

1.2 Cloud Providers Overview: AWS, Azure & GCP

• AWS Global Infrastructure
• Microsoft Azure Services & Regions
• Google Cloud Platform Services

1.3 Virtualization & Cloud Architecture

• Hypervisors: VMware, KVM, Xen
• Virtual Machines vs Containers
• Cloud-Native Architecture Principles

🔹 Hands-on Lab: Deploy a virtual machine on AWS, Azure, and GCP.
🔹 Mini Project: Set up a basic web server on cloud infrastructure.

📌 Module 2: Compute, Storage & Networking in Cloud (Weeks 5-8)

2.1 Compute Services

• AWS EC2, Azure Virtual Machines, GCP Compute Engine
• Auto Scaling & Load Balancing
• Containers & Kubernetes (EKS, AKS, GKE)

2.2 Cloud Storage Services

• Object Storage: S3 (AWS), Blob Storage (Azure), Cloud Storage (GCP)
• File & Block Storage: EBS (AWS), Managed Disks (Azure), Persistent Disks (GCP)

2.3 Cloud Networking

• Virtual Private Cloud (VPC) in AWS, VNet in Azure, VPC in GCP
• Firewalls, Security Groups & Network ACLs
• Load Balancers & Cloud CDN

🔹 Hands-on Lab: Deploy an autoscaling group with load balancer in AWS.
🔹 Mini Project: Build a high-availability architecture on AWS/Azure.

📌 Module 3: Cloud Security & Identity Management (Weeks 9-12)

3.1 Identity & Access Management (IAM)

• AWS IAM, Azure AD, GCP IAM
• Role-Based Access Control (RBAC)
• Multi-Factor Authentication (MFA)

3.2 Security & Compliance in Cloud

• AWS Security Hub, Azure Security Center, GCP Security Command Center
• Encryption & Key Management (AWS KMS, Azure Key Vault, Google KMS)
• Cloud Auditing & Compliance (SOC2, GDPR, HIPAA)

🔹 Hands-on Lab: Implement IAM policies & multi-factor authentication.
🔹 Mini Project: Secure a cloud-based web application using IAM best practices.

 

📌 Module 4: Serverless Computing & DevOps in Cloud (Weeks 13-16)

4.1 Serverless Computing

• AWS Lambda, Azure Functions, Google Cloud Functions
• Serverless Databases: DynamoDB, Firebase, CosmosDB

4.2 DevOps & Cloud Automation

• CI/CD Pipelines with GitHub Actions, AWS CodePipeline, Azure DevOps
• Infrastructure as Code (IaC) with Terraform & CloudFormation
• Cloud Monitoring & Logging (AWS CloudWatch, Azure Monitor, GCP Stackdriver)

🔹 Hands-on Lab: Build and deploy a serverless application using AWS Lambda.
🔹 Mini Project: Automate infrastructure deployment using Terraform.

 

📌 Module 5: Advanced Cloud Services & Multi-Cloud Strategy (Weeks 17-20)

5.1 Cloud Databases & Big Data

• Managed Databases: AWS RDS, Azure SQL, Google Cloud SQL
• NoSQL Databases: DynamoDB, CosmosDB, Firestore
• Big Data Analytics: AWS Redshift, Google BigQuery, Azure Synapse Analytics

5.2 Multi-Cloud & Hybrid Cloud Strategy

• Multi-Cloud Networking & Security Best Practices
• Cloud Cost Optimization Strategies
• Hybrid Cloud Solutions: AWS Outposts, Azure Arc, Google Anthos

🔹 Hands-on Lab: Deploy a multi-cloud application across AWS & GCP.
🔹 Mini Project: Implement real-time data processing using AWS Kinesis or Google Dataflow.

 

📌 Module 6: Cloud Deployment & Capstone Project (Weeks 21-24)

6.1 Cloud Application Deployment & Migration

• Cloud Migration Strategies: Lift & Shift, Re-platforming, Re-architecting
• Deploying Microservices on Kubernetes & Docker
• Cloud Performance Optimization

6.2 Capstone Project (Final 3 Weeks)

• Develop & Deploy a Cloud-Native Application
• Implement Security, Networking, and DevOps Best Practices
• Final Presentation & Peer Review

🔹 Final Assessment & Certification: Live project evaluation by cloud experts.

 

🛠 Tools & Technologies Covered

✔ AWS: EC2, S3, Lambda, RDS, CloudFormation, IAM
✔ Azure: Virtual Machines, Blob Storage, Azure Functions, AKS, Azure DevOps
✔ GCP: Compute Engine, Cloud Storage, GKE, Cloud Functions
✔ Kubernetes, Terraform, Docker, Jenkins, CI/CD Pipelines

 

📜 Certification & Career Support

✅ Certificate of Completion from [Your Institute Name]
✅ Guidance for AWS (AWS Certified Solutions Architect), Azure (AZ-104, AZ-305), and GCP (Associate Cloud Engineer) Certifications
✅ Placement Assistance & Career Mentorship
✅ Internship & Live Project Opportunities

 

🎯 Why Choose This Course?

🔹 Industry-Aligned Curriculum covering AWS, Azure & GCP.
🔹 Practical, Hands-On Labs & Live Projects.
🔹 Expert Instructors with Real-World Experience.
🔹 Career Support with Resume Building & Mock Interviews.