Course Overview

Course Description:Understand cloud basics, deployment models, and essential services. Get hands-on with storage, compute, and virtual machines.

Topics Covered:

• Fundamentals of cloud computing and its service models (IaaS, PaaS, SaaS)
• Basics of cloud deployment models (public, private, hybrid)
• Introduction to major cloud platforms (AWS, Azure, Google Cloud)
• Cloud storage and basic security practices
• Simple cloud-based application deployment

Syllabus

Module 1: Introduction to Cloud Computing

• What is Cloud Computing?
• Types of Cloud (Public, Private, Hybrid)
• Service Models: IaaS, PaaS, SaaS
• Cloud Deployment Case Studies

LAB 1

• Create a free account on AWS / Google Cloud / Azure
• Launch a free-tier VM instance

Module 2: Virtualization & Cloud Infrastructure

• Virtual Machines vs Containers
• Hypervisors (Type 1, Type 2)
• Cloud Data Centers & Virtualization

LAB 2

• Install VirtualBox or VMware Player
• Launch Ubuntu VM locally
• Compare VM vs Container (Docker Hello World)

Module 3: Cloud Storage & File Systems

• Object Storage (S3, Blob, GCS)
• Block Storage vs File Storage
• Backup & Disaster Recovery in Cloud

LAB 3

• Upload/Download files to AWS S3 Free Tier
• Mount Google Drive in Colab
• Create Storage Buckets in Google Cloud

Module 4: Networking in Cloud

• VPC (Virtual Private Cloud)
• Subnets, IPs, DNS, Load Balancers
• Firewalls & Security Groups

LAB 4

• Create a VPC in AWS / Azure / GCP
• Deploy a simple web server with Public IP

Learning Outcome

Understand core cloud computing concepts, navigate major cloud platforms, manage cloud storage systems, configure cloud networks, and deploy basic cloud-based applications.

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Course Overview

Course Description:Dive deeper into cloud platforms. Learn networking, security, and automated deployment using real-world projects.

Topics Covered:

• Advanced cloud services and infrastructure management
• Cloud networking and virtual private networks (VPNs)
• Automation and orchestration using tools like Terraform and Ansible
• Cost management and optimization strategies
• Implementing and managing cloud security measures

Syllabus

Module 1: Introduction to Cloud Computing

• What is Cloud Computing?
• Types of Cloud (Public, Private, Hybrid)
• Service Models: IaaS, PaaS, SaaS
• Cloud Deployment Case Studies

LAB 1

• Create a free account on AWS / Google Cloud / Azure
• Launch a free-tier VM instance

Module 2: Virtualization & Cloud Infrastructure

• Virtual Machines vs Containers
• Hypervisors (Type 1, Type 2)
• Cloud Data Centers & Virtualization

LAB 2

• Install VirtualBox or VMware Player
• Launch Ubuntu VM locally
• Compare VM vs Container (Docker Hello World)

Module 3: Cloud Storage & File Systems

• Object Storage (S3, Blob, GCS)
• Block Storage vs File Storage
• Backup & Disaster Recovery in Cloud

LAB 3

• Upload/Download files to AWS S3 Free Tier
• Mount Google Drive in Colab
• Create Storage Buckets in Google Cloud

Module 4: Networking in Cloud

• VPC (Virtual Private Cloud)
• Subnets, IPs, DNS, Load Balancers
• Firewalls & Security Groups

LAB 4

• Create a VPC in AWS / Azure / GCP
• Deploy a simple web server with Public IP

Module 5: Cloud Security & Identity Management

• Shared Security Model
• IAM (Identity & Access Management)
• Cloud Security Best Practices

LAB 5

• Create IAM Users & Roles in AWS
• Apply Permissions & Policies

Module 6: Compute Services & Auto Scaling

• EC2, Compute Engine, Azure VM
• Auto Scaling & Load Balancing
• Spot Instances & Reserved Instances

LAB 6

• Deploy a Web Application on AWS EC2
• Configure Auto Scaling Group

Module 7: Containers & Kubernetes

• Introduction to Docker & Containerization
• Kubernetes Architecture & Orchestration
• Minikube for Local Testing

LAB 7

• Run Docker Hello World
• Deploy a Containerized App on Minikube
• Use Google Kubernetes Engine (free credits)

Module 8: Cloud Databases

• RDS, Cloud SQL, DynamoDB, CosmosDB, BigQuery
• SQL vs NoSQL in Cloud
• Scaling Databases in Cloud

LAB 8

• Create a Free Cloud SQL / RDS Instance
• Connect Database with Python Application

Learning Outcome

Enhance cloud infrastructure skills, deploy scalable applications, manage cloud security, automate services, and optimize cloud resources effectively.

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Course Overview

Course Description:Master scalable cloud architecture, DevOps, and serverless computing. Build resilient, enterprise-grade systems with CI/CD pipelines.

Topics Covered:

• Advanced cloud architecture and design patterns
• Cloud-native application development and microservices
• Advanced data management and analytics in the cloud
• Multi-cloud and hybrid cloud strategies
• Compliance, governance, and advanced security practices

Syllabus

Module 1: Introduction to Cloud Computing

• What is Cloud Computing?
• Types of Cloud (Public, Private, Hybrid)
• Service Models: IaaS, PaaS, SaaS
• Cloud Deployment Case Studies

LAB 1

• Create a free account on AWS / Google Cloud / Azure
• Launch a free-tier VM instance

Module 2: Virtualization & Cloud Infrastructure

• Virtual Machines vs Containers
• Hypervisors (Type 1, Type 2)
• Cloud Data Centers & Virtualization

LAB 2

• Install VirtualBox or VMware Player
• Launch Ubuntu VM locally
• Compare VM vs Container (Docker Hello World)

Module 3: Cloud Storage & File Systems

• Object Storage (S3, Blob, GCS)
• Block Storage vs File Storage
• Backup & Disaster Recovery in Cloud

LAB 3

• Upload/Download files to AWS S3 Free Tier
• Mount Google Drive in Colab
• Create Storage Buckets in Google Cloud

Module 4: Networking in Cloud

• VPC (Virtual Private Cloud)
• Subnets, IPs, DNS, Load Balancers
• Firewalls & Security Groups

LAB 4

• Create a VPC in AWS / Azure / GCP
• Deploy a simple web server with Public IP

Module 5: Cloud Security & Identity Management

• Shared Security Model
• IAM (Identity & Access Management)
• Cloud Security Best Practices

LAB 5

• Create IAM Users & Roles in AWS
• Apply Permissions & Policies

Module 6: Compute Services & Auto Scaling

• EC2, Compute Engine, Azure VM
• Auto Scaling & Load Balancing
• Spot Instances & Reserved Instances

LAB 6

• Deploy a Web Application on AWS EC2
• Configure Auto Scaling Group

Module 7: Containers & Kubernetes

• Introduction to Docker & Containerization
• Kubernetes Architecture & Orchestration
• Minikube for Local Testing

LAB 7

• Run Docker Hello World
• Deploy a Containerized App on Minikube
• Use Google Kubernetes Engine (free credits)

Module 8: Cloud Databases

• RDS, Cloud SQL, DynamoDB, CosmosDB, BigQuery
• SQL vs NoSQL in Cloud
• Scaling Databases in Cloud

LAB 8

• Create a Free Cloud SQL / RDS Instance
• Connect Database with Python Application

Module 9: Serverless Computing & Cloud Functions

• What is Serverless? (FaaS Model)
• AWS Lambda, Google Cloud Functions, Azure Functions
• Use Cases: Event-Driven Apps, Chatbots, API Automation

LAB 9

• Deploy a Hello World Lambda Function
• Trigger Function on File Upload (S3 / Cloud Storage)

Module 10: DevOps & Cloud Automation

• CI/CD Pipelines
• Infrastructure as Code (IaC) with Terraform
• Cloud Monitoring Tools (CloudWatch, Stackdriver, Azure Monitor)

LAB 10

• Build a CI/CD Pipeline using GitHub Actions + AWS
• Write a Simple Terraform Script to Deploy a VM

Module 11: Big Data & AI in Cloud

• Cloud-Based Big Data Systems (Hadoop, Spark)
• AI/ML Services: AWS Sagemaker, Google AI Platform, Azure ML Studio
• Designing Cloud Data Pipelines

LAB 11

• Run BigQuery Query in Google Cloud Free Tier
• Train ML Model in Google Colab + GCP AI

Module 12: Cloud Projects & Deployment

• End-to-End Cloud Project Workflow
• Cloud Cost Management & Optimization
• Certification Guidance: AWS / Azure / GCP

LAB 12

• Deploy a Complete Application (Web App + Database + Storage + CI/CD)
• Host on Streamlit Cloud / Heroku / AWS Free Tier

Learning Outcome

Master cloud-native application development, secure multi-cloud environments, manage large-scale data workflows, and deploy real-world enterprise cloud solutions with automation and best practices.

Enroll Now → →