Certificate Course in Cloud Computing

Explore the foundational and advanced concepts of cloud technology with our comprehensive Certificate Course in Cloud Computing.

Course Modules

Module 1: Introduction to Cloud Computing

  • What is Cloud Computing?: Understand the fundamental concept of delivering computing services—like servers, storage, databases, networking, and software—over the internet (“the cloud”).
  • Benefits and Use Cases: Discover the advantages of cloud computing, including scalability, flexibility, and cost-efficiency. Explore real-world use cases across industries.
  • Service Models (IaaS, PaaS, SaaS): Learn about the three main service models—Infrastructure as a Service, Platform as a Service, and Software as a Service—and how organizations use them.
  • Deployment Models: Dive into different deployment models including Public Cloud, Private Cloud, Hybrid Cloud, and Multi-Cloud, and understand their strengths and trade-offs.
  • Key Terminologies and Trends: Get familiar with essential cloud terms like virtualization, elasticity, containers, edge computing, and the latest trends shaping the cloud industry.

Module 2: Getting Started with AWS & Azure

  • Introduction to AWS & Azure Interfaces: Get familiar with the graphical interfaces and dashboards of Amazon Web Services and Microsoft Azure to manage cloud services.
  • Setting Up Free Tier Accounts: Learn how to create and configure free-tier accounts on AWS and Azure to start exploring cloud features at no cost.
  • Navigating AWS Console & Azure Portal: Explore the layout, service menus, dashboards, and shortcuts in the AWS Management Console and Azure Portal.
  • Cloud Regions, Availability Zones & SLAs: Understand geographic distribution of cloud infrastructure, redundancy through availability zones, and service-level agreements (SLAs) for uptime and reliability.

Module 3: Core Cloud Services

  • Compute: EC2, Lambda, Azure VMs, Azure Functions: Learn to deploy and manage virtual servers and serverless functions across AWS and Azure for scalable compute power.
  • Storage: S3, EBS, Azure Blob Storage, Azure Files: Understand different cloud storage options, including object, block, and file storage solutions for varied data needs.
  • Databases: RDS, DynamoDB, Azure SQL, Cosmos DB: Explore managed relational and NoSQL database services to handle structured and unstructured data efficiently.
  • Networking: VPC, Subnets, Load Balancers, Azure VNets: Dive into cloud networking essentials, setting up secure virtual networks, subnets, and distributing traffic with load balancers.

Module 4: Cloud Management & Automation

  • IAM (Identity & Access Management): Learn to securely manage users, roles, and permissions in AWS and Azure to control access to cloud resources.
  • Resource Groups, Tags & Policies: Organize and manage cloud resources efficiently using grouping, tagging, and governance policies.
  • Auto Scaling & Load Balancing: Configure auto scaling and load balancing to ensure high availability, performance, and cost-efficiency of applications.
  • Infrastructure as Code (CloudFormation, ARM Templates): Automate cloud resource provisioning using IaC tools for repeatable and scalable deployments.
  • Monitoring & Alerts (CloudWatch, Azure Monitor): Set up monitoring and alerting tools to track performance, usage, and anomalies in your cloud environment.

Module 5: Security & Best Practices

  • Data Protection & Encryption: Understand how to secure data at rest and in transit using encryption tools and key management services.
  • Cloud Security Principles (Shared Responsibility Model): Learn the foundational security model and understand which responsibilities lie with the cloud provider vs. the customer.
  • Threat Detection (AWS GuardDuty, Azure Defender): Use built-in security services to detect, analyze, and respond to potential threats in real-time.
  • Compliance & Governance Tools: Explore tools and frameworks for regulatory compliance, audits, and governance in cloud environments.
  • Backup and Disaster Recovery Strategies: Design robust backup and disaster recovery plans to ensure business continuity during failures or data loss.

Module 6: Real-World Projects

  • Host a Website on AWS and Azure: Learn to deploy a static or dynamic website using services like S3 + CloudFront (AWS) and Azure App Service + CDN.
  • Deploy a Scalable Web Application: Build and launch a web app using auto-scaling EC2 instances or Azure App Service with load balancing and monitoring.
  • Implement a Multi-Region Failover Strategy: Set up high availability by deploying resources in multiple regions to ensure failover and minimize downtime.
  • Setup Identity Federation using Azure AD and AWS IAM: Integrate identity providers (like Google, Microsoft, etc.) to enable single sign-on and secure user access across cloud services.

Capstone Project

Students will design and implement a full-stack application that includes secure network architecture, cloud services, and integrated frontend/backend functionality.

Assessment and Certification

Assessment

Learners will be evaluated through a combination of module-wise quizzes, hands-on lab exercises, real-world project submissions, and a final capstone assessment. The focus is on practical skills, architecture design, deployment, and cloud security implementation across AWS and Azure platforms.

Certification

Upon successful completion, learners will receive a Level 7 Certificate in Advanced Cloud Computing, recognizing their expertise in multi-cloud environments, secure deployment practices, and enterprise-grade architecture design. This certificate aligns with NSQF standards and adds strong value to professional portfolios.