Cloud Training and Education

Cloud Training and Education (60-Hour Course)

Module 1: Introduction to Cloud Computing (6 hours)

• Understanding Cloud Computing: Definition, key concepts, and the evolution of cloud technologies.
• Cloud Deployment Models: Public, Private, Hybrid, and Multi-cloud.
• Cloud Service Models: IaaS, PaaS, SaaS.
• Benefits and Challenges of Cloud Adoption.

Module 2: Cloud Infrastructure Fundamentals (8 hours)

• Virtualization and Cloud Infrastructure: Understanding hypervisors, VMs, and containers.
• Networking in the Cloud: Virtual private networks, subnets, load balancing, and security groups.
• Storage Solutions in Cloud: Block storage, file storage, object storage, and data redundancy.

Module 3: Cloud Security and Compliance (6 hours)

• Security Principles in the Cloud: Encryption, IAM (Identity and Access Management), multi-factor authentication.
• Compliance and Regulatory Requirements: GDPR, HIPAA, and industry standards for cloud compliance.
• Cloud Security Best Practices.

Module 4: Cloud Service Providers Overview (8 hours)

• AWS Overview: Core services, AWS ecosystem, and practical applications.
• Microsoft Azure Overview: Key features, cloud services, and common use cases.
• Google Cloud Overview: Features and differentiators from other providers.
• Comparing Major Cloud Providers: Pricing models, feature sets, and strengths.

Module 5: Cloud Architecture and Design (7 hours)

• Designing Cloud Solutions: Architecture frameworks, reference architectures.
• Building Scalable and Resilient Cloud Systems.
• Serverless Computing and Microservices.
• Architecting for High Availability and Disaster Recovery.

Module 6: Cloud Migration Strategies (8 hours)

• Migration Planning and Readiness: Assessment, roadmap creation, and tools for migration.
• Lift-and-Shift vs Refactor: When to choose each approach.
• Data Migration: Strategies for database, storage, and application migration.
• Cost Management during Migration.

Module 7: Cloud Automation and DevOps (6 hours)

• Automation in Cloud: Infrastructure as Code (IaC) using Terraform, CloudFormation.
• CI/CD Pipelines: Continuous integration and deployment using Jenkins, GitLab, or others.
• Monitoring and Logging: Tools like CloudWatch, ELK Stack, and monitoring metrics.

Module 8: Advanced Topics in Cloud Computing (7 hours)

• Edge Computing and IoT: Integrating cloud with edge technologies and IoT devices.
• Artificial Intelligence and Machine Learning in Cloud.
• Containers and Kubernetes: Managing containers in the cloud, Kubernetes orchestration.
• Blockchain and Cloud Integration: Overview and use cases.

Module 9: Cloud Case Studies and Hands-on Labs (4 hours)

• Real-World Cloud Migration Projects: Discussing case studies from different industries.
• Lab Work: Deploying cloud infrastructure, configuring security, and running a migration simulation.
• Problem-Solving Workshops: Troubleshooting migration and deployment challenges.