A Practical Guide To Google Cloud From Scratch

Deploy your application on GCP, a stable and robust platform

What you'll learn

Deploy an application with multiple components to GCP using GCE, GAE, and GKE.

Choose the right storage and database technology for your application.

Focus on the actions you need to know to build scalable, reliable applications using GCP.

Build faster, more responsive applications by balancing the load.

Design your own storage in GCP and store your data in it.

Secure your data on the cloud using security scanner, IAM, and Splunk.

Requirements

No prior knowledge about Google Cloud Platform is required.

Description

The Google Cloud Platform provides auto-scaling compute power and distributed in-memory caches, task queues, and datastores to write, build, and deploy cloud-hosted applications. So are you willing to learn how to architect and deploy applications on Google Cloud Platform (GCP)? Then this course is for you!With this practical course, you will begin with learning about GCP basics where you will mainly focus on how to run the same application in different ways on GCP, choosing the right package and take advantage of the scale and reliability of GCP & much more. Once you are clear with basic, then you learn to launch your 1st Web Stack on GCP. Moving further, you will be learning to deploy your application on an infrastructure protected by more than 700 top experts in network security.By the end of this course, you’ll know how to architect and deploy applications on GCP & migrate your application to the Google Cloud Platform (GCP) and choose between different features when designing an application.Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Learning Google Cloud Platform you will run the same application in different ways on GCP. Then you’ll learn how to choose the right package and take advantage of the scale and reliability of GCP. Moving on, you’ll work with App Engine and Containers with a dash of Cloud Functions to discover the future of cloud computing. By the end of this course, you’ll know how to architect and deploy applications on GCP.The second course, Google Cloud Platform Development Essentials you will see how to interact with Google Cloud Platform services and explore ways to use Google Cloud Platform. The course teaches you how to grow your application in GCP without considering capacity, reliability, and performance. You'll see how to launch your web stack on Google Cloud Platform, and how to deploy your application on an infrastructure protected by more than 700 top experts in network security. By the end of the course, you will be able to take advantage of the most popular cloud computing services that run on the same infrastructure that Google uses internally for its end-users.About the Authors:Zandre Schalkwyk is a full-stack developer, a team lead, mentor, wannabe data engineer, and machine learning expert. He has more than 3 years’ experience in the field of technology. He is a certified GCP specialist and has recently started conducting lectures on it, where he trains others on how to pass the certification examAdam Frisbee is an instructor at a major US university, a course author on Udemy for Business, a former cloud system engineer, and a current director of information technology at a large biotech organization. He is passionate about education and enjoys creating and deploying cloud solutions.

Overview

Section 1: Learning Google Cloud Platform

Lecture 1 The Course Overview

Lecture 2 Google Cloud Platform Overview

Lecture 3 GCP Free Tier

Lecture 4 Access GCP Using GCP Web Console, CLI, and REST

Lecture 5 Importance of Networking in Cloud and GCP Uniqueness in Networking

Lecture 6 Networking Concepts 101 – Virtual Private Cloud, Firewall, and Routes

Lecture 7 Networking Concepts 102 – Shared VPC and VPC Peering

Lecture 8 Connect to GCP From An External Network

Lecture 9 Identity and Access Management (IAM) Overview

Lecture 10 IAM Roles, Policy

Lecture 11 Service Accounts

Lecture 12 Best Practice of IAM

Lecture 13 Demo

Lecture 14 Infrastructure as a Service – Google Compute Engine

Lecture 15 Container as a Service – Google Kubernetes Engine

Lecture 16 Platform as a Service – Google App Service

Lecture 17 Function as a Service – Google Cloud Function

Lecture 18 When to Use Which Compute Type?

Lecture 19 Demo

Lecture 20 File Storage –Google Cloud Storage, FileStore, and Persistent Disk

Lecture 21 Relational Database – Cloud SQL and Cloud Spanner

Lecture 22 NoSQL Database – DataStore and Bigtable Part One

Lecture 23 NoSQL Database – DataStore and Bigtable Part Two

Lecture 24 Demo

Lecture 25 Enterprise Data Warehouse – BigQuery

Lecture 26 Real-time Messaging Service – Cloud Pub/Sub

Lecture 27 Managed Apache Hadoop and Spark Cluster – Cloud DataProc

Lecture 28 Batch and Stream Data Processing – Cloud Dataflow

Lecture 29 Cloud IoT Core

Lecture 30 Demo

Lecture 31 Overview of Developer Focused AI and ML APIs

Lecture 32 Overview of AutoML

Lecture 33 Overview of Data Scientist Focused AI and ML Concepts

Lecture 34 Developer Tools

Lecture 35 Stackdriver

Lecture 36 Demo

Lecture 37 Cloud Migration

Lecture 38 Born in the Cloud Application

Lecture 39 Demo

Section 2: Google Cloud Platform Development Essentials

Lecture 40 The Course Overview

Lecture 41 Understanding the Google Cloud Platform

Lecture 42 Infrastructure-as-a- Service (IaaS) Versus Platform-as-a-Service (PaaS)

Lecture 43 Looking at the API-First Philosophy

Lecture 44 Demo – Google Cloud Shell

Lecture 45 Demo – Setup Your Free GCP Account

Lecture 46 Introduction to Google Cloud Launcher

Lecture 47 Launching an NGINX Instance

Lecture 48 Installing Wordpress on NGINX – Part 1

Lecture 49 Installing Wordpress on NGINX – Part 2

Lecture 50 Verifying Your Website

Lecture 51 Introduction to Virtual Machines

Lecture 52 Creating Your First Virtual Machine

Lecture 53 Introduction to Containers

Lecture 54 Docker and Kubernetes

Lecture 55 Creating Your First Kubernetes Cluster

Lecture 56 Introduction to Networking in GCP

Lecture 57 Setting Up Your First Network

Lecture 58 Exploring Load Balancing

Lecture 59 Setting Up a Load Balancer

Lecture 60 Deploying a VPN

Lecture 61 Introduction to Google Cloud Storage

Lecture 62 Building Storage Solutions with Cloud Storage

Lecture 63 Introduction to Google Cloud Datastore

Lecture 64 Building a Google Cloud Datastore – Part 1

Lecture 65 Building a Google Cloud Datastore – Part 2

Lecture 66 Introduction to Google Cloud Security Scanner

Lecture 67 Introduction to IAM

Lecture 68 IAM in the Google Cloud

Lecture 69 Introduction to Key Management Storage

Lecture 70 Overview of Google's Data Products

Lecture 71 BigQuery - Analyzing Weather Data

Lecture 72 DataProc – Create a Cluster and Run a Simple Spark job

Lecture 73 DataPrep – Creating a Flow

This course is open for all who are not only interested in architecting networking, loading balancing and other solutions using the GCP but also interested to take up the Data Engineer certification. It also targets developers and solution architect willing to deploy applications and create application environments on the Google Cloud Platform.