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.

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.

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.

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.