Master the essential concepts and hands-on skills needed to understand cloud computing from multiple perspectives. This comprehensive course takes you from cloud computing history and definitions through advanced database technologies, providing both theoretical foundations and practical implementation experience.

Cloud Computing Fundamentals
本课程是 Cloud Computing for Data Science 专项课程 的一部分
访问权限由 New York State Department of Labor 提供
您将学到什么
Configure and deploy virtual machines to simulate cloud environments and understand IaaS, PaaS, and SaaS service models.
Differentiate between databases, data warehouses, and data lakes while applying Star and Snowflake schemas for optimal performance.
Compare MySQL, MongoDB, and Neo4j database technologies based on ACID and BASE properties to select optimal solutions for use cases.
Apply cloud computing principles through hands-on projects using Python, GitHub, and virtualization tools in real-world scenarios.
您将获得的技能
- Data Warehousing
- MongoDB
- Data Infrastructure
- Database Design
- Database Management
- MySQL
- Cloud Services
- Cloud Computing
- Application Programming Interface (API)
- Scalability
- Cloud Platforms
- Git (Version Control System)
- Cloud Computing Architecture
- Python Programming
- Virtual Machines
- Cloud Infrastructure
- Cloud Storage
- SQL
- NoSQL
- Virtualization
- 技能部分已折叠。显示 11 项技能,共 20 项。
要了解的详细信息

添加到您的领英档案
14 项作业
February 2026
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有4个模块
In this introductory module, you'll get to know your instructor and the course structure before diving into the foundations of cloud computing. You'll explore its history, key definitions, and broad impact across industries. You'll also set up a Python virtual environment and begin working with GitHub to prepare for hands-on cloud-based development throughout the course.
涵盖的内容
5个视频3篇阅读材料2个作业
In this module, you'll explore the core technologies that make cloud computing possible, including virtualization, networking, and storage. You'll also dive into the three main cloud service models—Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS)—and assess their benefits and risks. Through hands-on activities, quizzes, and a real-world case study, you’ll strengthen your understanding of how these models are applied in practice.
涵盖的内容
7个视频2篇阅读材料4个作业
In this module, you'll build on your understanding of relational databases and explore how cloud-based data infrastructure supports modern data management. You'll learn to differentiate between databases, data warehouses, and data lakes, and discover when to apply de-normalized schemas like Star and Snowflake. Through hands-on activities and real-world scenarios, you'll gain the skills to design scalable, cloud-ready data systems tailored to specific business needs.
涵盖的内容
10个视频7篇阅读材料5个作业
In this module, you'll explore the fundamentals of cloud databases and how they support scalable, high-performance applications. You'll learn to distinguish between ACID and BASE properties, understand horizontal vs. vertical scaling, and compare the strengths and trade-offs of MySQL, MongoDB, and Neo4j. Through real-world scenarios and hands-on demos, you’ll gain the skills to evaluate and select the most appropriate database technologies for various cloud-based use cases.
涵盖的内容
7个视频11篇阅读材料3个作业
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
攻读学位
课程 是 University of Pittsburgh提供的以下学位课程的一部分。如果您被录取并注册,您已完成的课程可计入您的学位学习,您的学习进度也可随之转移。
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