Cloud computing is an important technology that contributes to improving the efficiency and scalability of corporate IT infrastructure. As the use of major cloud services such as AWS, Azure, and Google Cloud expands, there is a demand for practical learning of these services. This article introduces the structure of a practical curriculum on cloud computing and effective learning methods for major cloud services.
1. Basic Understanding of Cloud Computing
1.1 Fundamental Knowledge of Cloud Computing
- Cloud Computing Concepts: Learn about basic concepts of cloud computing, service models (IaaS, PaaS, SaaS), and deployment models (public, private, hybrid).
- Cloud Benefits and Challenges: Understand the benefits of cloud (scalability, cost efficiency, flexibility) and challenges (security, compliance, dependency).
1.2 Basic Cloud Services
- Computing Services: Learn about virtual servers, containers, and serverless computing.
- Storage Services: Understand the differences and uses of object storage, block storage, and file storage.
- Database Services: Learn basic understanding and usage of relational databases and NoSQL databases.
2. Learning Methods for Major Cloud Services
2.1 Amazon Web Services (AWS)
- AWS Basic Services: Learn about major AWS services such as EC2 (Elastic Compute Cloud), S3 (Simple Storage Service), RDS (Relational Database Service), and Lambda.
- Hands-on Exercises: Experience actual setup and operations using AWS official training and free workshops.
- AWS Certifications: Aim for official certifications such as AWS Certified Solutions Architect and AWS Certified Developer. For certification, it’s good to utilize online courses and practice exams for test preparation.
2.2 Microsoft Azure
- Azure Basic Services: Learn about major Azure services such as Virtual Machines, Blob Storage, SQL Database, and Azure Functions.
- Hands-on Labs: Perform practical labs using Azure services on Microsoft Learn and Azure’s official training platform.
- Azure Certifications: Take certification exams such as Microsoft Certified: Azure Fundamentals and Microsoft Certified: Azure Administrator Associate to prove practical skills.
2.3 Google Cloud Platform (GCP)
- GCP Basic Services: Learn about GCP’s major services such as Compute Engine, Cloud Storage, Cloud SQL, and Cloud Functions.
- Practical Projects: Hone skills through actual projects using Google Cloud’s free training resources and Qwiklabs labs.
- GCP Certifications: Aim for certifications such as Google Cloud Certified - Associate Cloud Engineer and Google Cloud Certified - Professional Data Engineer.
3. Project-Based Learning Aligned with Practice
3.1 Cloud Architecture Design
- Architecture Design: Learn about system design and deployment strategies in cloud environments and perform architecture design in actual projects.
- Security and Compliance: Learn cloud security best practices and compliance requirements, and implement projects with security measures.
3.2 Cloud Operations and Management
- Operations Management Tools: Learn about tools for managing and monitoring cloud resources (CloudWatch, Azure Monitor, Stackdriver, etc.).
- Automation and Scripting: Learn methods for automating and managing resources using Infrastructure as Code (IaC) tools (Terraform, CloudFormation, etc.).
4. Continuous Learning and Skill Updates
Cloud computing is a rapidly evolving field, so continuous learning is necessary.
- Tracking Latest Information: Follow official blogs, newsletters, and forums of cloud service providers to catch up on the latest services and features.
- Community Participation: Participate in communities and events related to cloud computing to learn about practical use cases and best practices.
Conclusion
A practical curriculum for cloud computing covers everything from understanding basic theory, hands-on learning of major cloud services, to project-based experience aligned with practice. Through specialized learning in AWS, Azure, and Google Cloud services, you can enhance practical skills and build a career as a cloud computing specialist.