Cloud Computing
Course Name: Cloud Computing Total Classes: 40 Classes Per Class Duration: 2 Hours Class Type: Online Live Class About This Course The Cloud Computing Professional course is designed to provide a strong foundation in cloud computing concepts, technologies, services, and industry best practices. Whether you are a student, IT professional, system administrator, software developer, DevOps engineer, or someone looking to build a career in cloud technologies, this course will help you develop the knowledge and skills required to work confidently in cloud environments. The course covers all key aspects of cloud computing, including cloud fundamentals, cloud service models, deployment models, virtualization, networking, storage, security, monitoring, automation, and cost optimization. Each topic is explained in a practical and easy-to-understand manner, allowing participants to understand how cloud technologies are used in modern organizations. This comprehensive training program combines theoretical knowledge with practical examples, real-world scenarios, hands-on demonstrations, and industry best practices. Participants will gain exposure to leading cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). The course is suitable for System Administrators, Network Engineers, DevOps Engineers, Software Developers, Technical Support Engineers, IT Professionals, Business Professionals, and fresh graduates interested in cloud computing. No prior cloud experience is required. By the end of this course, participants will have a clear understanding of cloud computing principles and will be able to deploy, manage, secure, and monitor cloud resources while preparing for cloud certification pathways and real-world cloud roles. What You Will Get in This Course Cloud Computing Fundamentals (15%) • Introduction to Cloud Computing • Benefits of Cloud Computing • Characteristics of Cloud Computing • Cloud Computing Evolution • Cloud Adoption Strategies • Common Cloud Use Cases Cloud Service Models and Deployment Models (15%) • Infrastructure as a Service (IaaS) • Platform as a Service (PaaS) • Software as a Service (SaaS) • Public Cloud • Private Cloud • Hybrid Cloud • Multi-Cloud Environments Cloud Infrastructure and Virtualization (15%) • Virtual Machines (VMs) • Hypervisors and Virtualization Concepts • Containers and Containerization • Serverless Computing • Resource Provisioning • Scalability and High Availability Cloud Storage and Database Services (15%) • Object Storage • Block Storage • File Storage • Cloud Databases • Backup and Recovery • Data Lifecycle Management Cloud Networking (15%) • Virtual Private Cloud (VPC) • Subnets and Routing • Internet Gateway and NAT Gateway • DNS Services • Load Balancing • Content Delivery Network (CDN) • Network Security Fundamentals Cloud Security and Identity Management (15%) • Shared Responsibility Model • Identity and Access Management (IAM) • Authentication and Authorization • Multi-Factor Authentication (MFA) • Encryption at Rest and In Transit • Security Best Practices • Compliance and Governance Cloud Monitoring and Automation (5%) • Monitoring and Logging Services • Cloud Auditing • Infrastructure as Code (IaC) • Terraform Fundamentals • Cloud Automation Concepts Cloud Cost Management and Optimization (5%) • Cloud Pricing Models • Cost Monitoring and Budgeting • Resource Optimization • Cost-Saving Strategies • Billing and Usage Analysis Cloud Platforms Overview (5%) • Amazon Web Services (AWS) Fundamentals • Microsoft Azure Fundamentals • Google Cloud Platform (GCP) Fundamentals • Comparison of Major Cloud Providers • Cloud Career Paths and Certification Roadmaps
AI Readiness
Good foundation, but some important product data is still missing.