Overview

GCP: Database, Storage, and Networking is the first course of Exam Prep: Google Cloud Certified Associate Cloud Engineer Specialization. The course provides comprehensive coverage of Virtual Private Cloud (VPC), including VPC creation, firewall rules, VM setup, and VPC peering. Advanced networking topics, such as hybrid cloud integration with Cloud Interconnect and Cloud Load Balancing, are explained with practical examples. The course is divided into two modules, and Lessons and Video Lectures further segment each module. This course facilitates learners with approximately 2:00-2:30 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test the ability of learners. - Module 1: Database and Storage in Google Cloud - Module 2: Networking in Google Cloud The course is designed for professionals and learners aiming to master GCP architecture and services. It combines foundational concepts with real-world implementation scenarios for cloud infrastructure, networking, storage, and data management. - Associate Cloud Engineer - Cloud Support Engineer - Cloud Operations Engineer - Site Reliability Engineer (Junior/Associate level) By the end of the course, learners will be able to: - Manage databases using Cloud SQL, Spanner, BigTable, Datastore, and BigQuery. - Build data pipelines with DataFlow, Dataproc, and Cloud Storage. - Set up and secure VPC networks, firewall rules, VM instances, and VPC peering.

Syllabus

Database and Storage in Google Cloud

Welcome to Week 1. This week, we’ll begin with an introduction to Google Cloud Platform (GCP), including a breakdown of its services, regions, and zones, to help you understand how GCP delivers reliable and scalable solutions globally. Moving into GCP's powerful data services, we’ll explore Cloud SQL, its supported database engines, and how to leverage Cloud Spanner, BigTable, and Cloud Datastore for different data needs. Finally, you’ll be introduced to GCP’s robust analytics and data processing tools—BigQuery for large-scale data warehousing, DataFlow for stream and batch data processing, and Dataproc for running Apache Hadoop and Spark jobs. By the end of this module, you’ll have a solid grasp of GCP’s core data services and infrastructure fundamentals, setting the stage for more advanced topics ahead.

Networking in Google Cloud

Welcome to Week 2. This week, we’ll begin by unpacking the core elements of Virtual Private Cloud (VPC), learning how to create VPCs and configure firewall rules to control network access. As we progress, we’ll learn VPC Peering and Cloud Interconnect, laying the groundwork for a hybrid cloud environment. To help you manage complex cloud structures effectively, we’ll introduce the Resource Manager and GCP resource hierarchy, which are essential for organizing and governing cloud assets. We’ll examine the role of IP addressing in cloud networking and round out the week with a deep dive into Cloud Load Balancing and Cloud DNS, both of which are critical for delivering reliable, low-latency applications to users across the globe.