Cloud Computing Course Syllabus
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Learn Cloud Computing at SLA Institute, the leading institute for the Cloud Computing Syllabus. Our syllabus covers essential topics to build a strong foundation in cloud architecture, virtualization, deployment models, and cloud security. Explore key concepts such as IaaS, PaaS, SaaS, cloud storage, networking, DevOps integration, and multi-cloud strategies. Gain hands-on experience through real-world case studies and cloud-based project implementations. SLA Institute provides expert training and career support to help you excel in AWS, Azure, and Google Cloud roles. Download our Cloud Computing Syllabus PDF for a detailed course structure and topics. Join our Cloud Computing Certificate Course with 100% Placement Support and take the first step toward a successful career in cloud technology and infrastructure management. Start your journey with SLA Institute today!
Course Syllabus
Download SyllabusModule 1: Introduction to Cloud Computing
- Definition and Key Characteristics of Cloud Computing
- History and Evolution of Cloud Technology
- Benefits of Cloud Computing: Scalability, Cost Efficiency, and Flexibility
- Challenges and Risks in Cloud Adoption
- Overview of Public, Private, Hybrid, and Multi-Cloud Models
- Understanding Cloud Service Models (IaaS, PaaS, SaaS, FaaS)
Module 2: Virtualization and Cloud Infrastructure
- Introduction to Virtualization Technologies (VMware, Hyper-V, KVM)
- Virtual Machines (VMs) vs. Containers (Docker, Kubernetes)
- Cloud Storage Types: Block Storage, Object Storage, File Storage
- Load Balancing, High Availability, and Disaster Recovery in Cloud
- Serverless Computing Concepts
Module 3: Cloud Service Providers Overview
Amazon Web Services (AWS)
- Introduction to AWS EC2, S3, RDS, Lambda, and CloudFront
- AWS Identity and Access Management (IAM)
- Cloud Monitoring and Security in AWS
Microsoft Azure
- Overview of Azure Virtual Machines, Azure Blob Storage, Azure AD
- Understanding Azure DevOps and CI/CD Pipelines
- Security and Compliance in Azure
Google Cloud Platform (GCP)
- Introduction to Google Compute Engine, Kubernetes Engine (GKE)
- BigQuery and Cloud AI/ML Services
- Identity Management and Security in GCP
Module 4: Cloud Networking
- Virtual Private Cloud (VPC) and Subnetting
- IP Addressing and DNS in Cloud Environments
- Load Balancers and Auto Scaling Groups
- Cloud Content Delivery Networks (CDN)
- Cloud Firewalls and Security Groups
Module 5: Cloud Security and Compliance
- Introduction to Cloud Security Best Practices
- Identity and Access Management (IAM) Across Platforms
- Encryption Methods for Secure Cloud Storage
- Security Threats in Cloud (DDoS, Malware, Data Breaches)
- Compliance Standards (GDPR, HIPAA, ISO 27001, PCI-DSS)
- Cloud Auditing and Logging Tools
Module 6: Cloud DevOps and Automation
- Infrastructure as Code (Terraform, Ansible, CloudFormation)
- Continuous Integration/Continuous Deployment (CI/CD) in Cloud
- Kubernetes and Docker for Container Orchestration
- Serverless Architectures and Event-Driven Computing
- Monitoring and Logging Tools (AWS CloudWatch, Azure Monitor, GCP Stackdriver)
Module 7: Multi-Cloud and Hybrid Cloud Strategies
- Understanding Multi-Cloud vs. Hybrid Cloud Architectures
- API Integrations and Interoperability Across Cloud Platforms
- Workload Management and Data Migration Strategies
- Cost and Performance Optimization for Multi-Cloud Environments
Module 8: Cloud Cost Optimization and Performance Management
- Cloud Pricing Models: Pay-as-You-Go, Reserved Instances, Spot Instances
- Cost Monitoring and Management Tools (AWS Cost Explorer, Azure Cost Management)
- Performance Tuning and Resource Optimization
- Case Studies on Cost Reduction Strategies
Module 9: Cloud Computing Real-World Applications
- Cloud in Artificial Intelligence & Machine Learning
- Serverless Computing and Microservices Architecture
- Cloud-Based Big Data and Analytics
- Industry Use Cases: Healthcare, E-Commerce, Banking, IoT, Gaming
Module 10: Cloud Certification Preparation & Career Readiness
- AWS, Azure, and GCP Certification Guidance
- Hands-on Labs and Capstone Projects
- Resume Building and Cloud Job Interview Preparation
- Exploring Career Paths: Cloud Architect, Cloud Security Engineer, Cloud DevOps Engineer, Cloud Administrator
In conclusion, our Cloud Computing Syllabus equips learners with the essential skills to master cloud technologies and services. The course covers key topics such as cloud infrastructure, virtualization, cloud security, DevOps integration, and multi-cloud strategies, offering hands-on experience through real-world projects. With a structured curriculum, students will gain proficiency in deploying, managing, and optimizing cloud environments across leading platforms like AWS, Microsoft Azure, and Google Cloud Platform (GCP). This Cloud Computing Certificate Course is designed to prepare learners for careers in cloud computing, DevOps, cybersecurity, and cloud architecture. Start your journey today and become an expert in cloud computing!
