What you'll learn

Learn the Key GCP Compute, Storage, Networking, Security, Database, Analytics & Monitoring Services
Learn an In-depth overview of the key building block services offered by the Google Cloud Platform
You will get an overall big picture of the Google Cloud Platform, and how each of its components fits together
Learn to use the key GCP services and integrate them into your cloud application
You will gain the knowledge to understand what services are needed for any specific application

Course content

9 sections • 55 lectures • 5h 11m total length

Introduction to the course5:10
Cloud Computing 1016:10
Google Cloud Platform Overview6:55
Explore the building blocks and key services of Google Cloud Platform, from compute and storage to AI and ML, with regions, zones, and data centers ensuring scalable deployment.
Setting up your GCP Account6:41
Quiz 1
Assignment 1

Overview of the Key GCP Compute Services7:07
Google Compute Engine4:23
Demo: Run a Simple Web Server on a Virtual Machine in GCP9:35
Configure a google cloud platform compute engine instance, install node.js and git, deploy a hello world node.js web server, and access it via the external ip.
Google Kubernetes Engine6:44
Explore Google Kubernetes Engine for deploying and managing containerized applications with clusters, nodes, pods, and container registry on Google Cloud, and learn container versus VM differences.
Demo: Creating a GKE Cluster & Deploying a Container9:06
App Engine5:43
Demo: Deploy & Run a Node.js Web Application on App Engine6:07
Learn to deploy and run a Node.js web app on App Engine's standard environment, using setup, three deployment methods, cloud shell, and gcloud deploy with app.yaml and dependencies.
What are Cloud Functions?5:00
How to select the correct service for your application?4:55
Assignment 2

Overview of the Key GCP Storage & Database Services11:48
Google Cloud Storage5:58
Learn how Google Cloud Storage provides a unified object storage API via rest to store and serve assets, with buckets, objects, access control, encryption, versioning, and storage classes.
Demo: Create a Google Cloud Storage Bucket4:32
Google Persistent Disk & Google Filestore Services4:32
Working with Google Persistent Disk and Google Filestore services7:47
Create and attach a persistent disk to a GCE VM and mount it. Then create a Filestore instance and mount it via NFS on the VM.
Google Cloud SQL4:25
Demo: Create a MySQL DB with Cloud SQL5:05
Google Cloud Bigtable4:57
Explore Google Cloud Bigtable, a petabyte-scale, low-latency storage system with a sparse, distributed, persistent multidimensional sorted map of rows, column families, and timestamps, aligned with cluster and tablet architecture.
Working with Google Cloud Bigtable5:17
Assignment 3

Overview of the Key GCP Networking Services5:02
Google Cloud Load Balancer4:57
Demo: Create a Load Balancer and connect it across 2 VMs9:29
Learn how to implement an HTTP(S) load balancer across two virtual machines, compare it with a network load balancer, and configure backend, health checks, and frontend settings.
Google Cloud DNS4:17
Demo: Use Cloud DNS to Expose Your Web Page to Internet9:58
Google Cloud CDN4:14
Demo: Integrating Cloud CDN to your Project6:20
Working with Google Cloud NAT and Cloud Traffic Director6:39
Explore Google Cloud NAT and Cloud Traffic Director to enable secure outbound internet access for private VMs without external IP addresses, using software-defined networking and service mesh concepts.
Assignment 4

Overview of the Key GCP Data Integration & Analytics Services5:08
Google Cloud Pub/Sub4:56
Explore Google Cloud Pub/Sub, a fully managed real-time messaging service that uses the publish-subscribe model with topics and subscriptions, enabling asynchronous, scalable communication between apps.
Google Cloud Dataflow4:36
Google BigQuery4:23
Google Data Studio4:01
Demo: Integrating all the Key Data Integration & Analytics Services5:14
Assignment 6

Overview of the Key GCP Management Tools & Monitoring Services5:13
Google Cloud Deployment Manager4:31
Learn how Google Cloud Deployment Manager enables infrastructure as code by using YAML configurations and templates (Python or Jinja) to deploy a Compute Engine instance and monitor deployment status.
Google Cloud Monitoring & Google Cloud Logging5:08
Working with Monitoring & Logging Services3:52
Google Cloud Cloud Trace & Google Cloud Debugger4:04
Google Cloud Error Reporting & Google Cloud Profiler4:40
Assignment 7

Project Overview4:16
Explore building a technical support web portal on Google Compute Engine, integrating persistence, Cloud DNS, load balancing, security services, and BigQuery analytics visualized in Data Studio.
Setting up the Technical Support Web Portal on GCE8:07
Integrating Persistence & Cloud DNS to the Project5:51
Learn to integrate persistence and cloud dns with a gce vm instance by configuring credentials, creating a datastore entity, registering a domain, and mapping dns records to the vm.
Integrating Load Balancing & Security Services to the Project5:06
Importing Dataset to BigQuery & Visualizing it using Data Studio3:38

Requirements

Functional knowledge of JavaScript, HTML, & Nodejs
Basic knowledge of Linux commands & Networking

Description

Hello learners, Welcome to MAKERDEMY's "Google Cloud Platform Essentials" course. This is an introductory course on one of the Top 3 Cloud Platforms. Google Cloud Platform is being used by many top companies like Twitter, 20th Century Fox, PayPal, eBay, HSBC, LG, just to name a few.

If you are a developer or an engineer who wants to get an in-depth overview of all the different services offered by the Google Cloud Platform or if you are preparing to write Google's Associate Cloud Engineer Exam, this course is right for you. Even though this is a beginner level course, to get the maximum value out of this course, you should have a functional knowledge of JavaScript, HTML, Node.js, Python, Linux Commands & Networking.

This course will teach you an overview of the key building block services offered by the Google Cloud Platform. You will also learn to use these key GCP services and integrate them into your cloud application. By the end of the course, you will get an overall big picture of the Google Cloud Platform, and how each of its components fits together. By the end of the course, you will develop the confidence to incorporate the GCP Services to your application. Throughout the course, we have provided a curated collection of resources. These resources include links to documents for in-depth learning, blog links, videos, and more. Furthermore, our Instructor team has an excellent track record of answering your queries and clearing your doubts. Thus, they will be ready to answer any of your course-related questions.

So, what are you waiting for?! Come, join me in this course. I'm looking forward to being your instructor and to teach the fundamentals of the Google Cloud Platform.

Who this course is for:

Any developer or an engineer who wants to get an in-depth overview of all the different services offered by the Google Cloud Platform
Anyone, who is preparing to write Google’s Associate Cloud Engineer Exam
Any developer, who has prior experience in other Cloud Platforms, but wants to migrate to GCP

What you'll learn

Explore related topics

Course content

Getting Started with Google Cloud Platform4 lectures • 25min

Compute Services9 lectures • 59min

Storage & Database Services9 lectures • 54min

Networking Services8 lectures • 51min

Security Services5 lectures • 24min

Data Integration & Analytics Services6 lectures • 28min

Management Tools & Monitoring Services6 lectures • 27min

Other Services3 lectures • 16min

Main Project5 lectures • 27min

Requirements

Description

Who this course is for: