Cloud Computing Course

Dive into the world of cloud computing with our comprehensive course designed to provide you with the knowledge and skills needed to leverage cloud technologies. Learn about various cloud service models, deployment strategies, and best practices to effectively use cloud platforms.

Course Curriculum:

• Hour 1: Introduction to Cloud Computing
• Hour 2: Cloud Service Models (IaaS, PaaS, SaaS)
• Hour 3: Cloud Deployment Models (Public, Private, Hybrid)
• Hour 4: Basics of Virtualization
• Hour 5: Introduction to AWS
• Hour 6: Introduction to Microsoft Azure
• Hour 7: Introduction to Google Cloud Platform
• Hour 8: Understanding Cloud Storage
• Hour 9: Cloud Networking Basics
• Hour 10: Cloud Security Fundamentals
• Hour 11: Identity and Access Management (IAM)
• Hour 12: Managing Cloud Resources
• Hour 13: Introduction to DevOps and Cloud
• Hour 14: Automating Infrastructure with IaC (Infrastructure as Code)
• Hour 15: Continuous Integration and Continuous Deployment (CI/CD)
• Hour 16: Monitoring and Logging in Cloud
• Hour 17: Cloud Cost Management
• Hour 18: Cloud Migration Strategies
• Hour 19: Cloud Governance and Compliance
• Hour 20: Serverless Computing
• Hour 21: Containerization with Docker and Kubernetes
• Hour 22: Introduction to Cloud Databases
• Hour 23: Implementing High Availability and Disaster Recovery
• Hour 24: Advanced Networking in Cloud
• Hour 25: Understanding Cloud APIs
• Hour 26: Introduction to Machine Learning in Cloud
• Hour 27: Big Data Analytics in Cloud
• Hour 28: Exploring Cloud Marketplaces
• Hour 29: Real-World Cloud Solutions
• Hour 30: Course Review and Final Assessment
• Project Work (10 Hours):
• Hour 31: Project 1: Setting Up a Virtual Machine in AWS
• Hour 32: Project 2: Deploying a Web Application on Azure
• Hour 33: Project 3: Implementing Cloud Storage Solutions
• Hour 34: Project 4: Configuring IAM Roles and Policies
• Hour 35: Project 5: Automating Infrastructure with Terraform
• Hour 36: Project 6: Setting Up a CI/CD Pipeline
• Hour 37: Project 7: Monitoring and Logging with CloudWatch
• Hour 38: Project 8: Migrating an On-Premise Application to Cloud
• Hour 39: Project 9: Implementing a Serverless Function
• Hour 40: Project 10: Deploying a Kubernetes Cluster