Essential Google Cloud Training: Deploy, Analyze, and Secure Your Cloud Environment

Course details

This course is designed to introduce the knowledge and skills you will need to deploy infrastructure, develop applications, manage networks, and use specialized services, such as AI and serverless data warehousing on the Google Cloud Platform. Google Cloud expert Dan Sullivan takes you through the essential skills and services you need to get you up and running on the Google Cloud.

Throughout the course, Dan uses demos and labs to cement your understanding and provide you with hands-on experience in the Google Cloud Platform. Learn how to start using Google Cloud, how to decide which computing service is right for your needs, how to create virtual machines, and use serverless functions for event driven processing. Dan also explains running containers in Cloud Run and Google Kubernetes Engine, covers hot topics like AI and machine learning on Google Cloud, and explores using Google BigQuery for a wide range of analytics workloads.

Learning objectives
Deploy virtual machines and serverless functions in Google Cloud.
Deploy a database using Cloud SQL.
Query data in Google BigQuery, a managed data warehouse and analytics platform.
Create firewall rules and assign roles to grant permissions to users.
Create event driven workflows using Cloud Functions.

Concepts

0. Introduction

01 - Google Cloud essentials - Introduction

Lesson 1 - Overview of Google Cloud

02 - Learning objectives
03 - Compute services
04 - Storage services
05 - Networking services
06 - Data services

Lesson 2 - Working with Cloud Console

07 - Learning objectives
08 - Getting started with Google Cloud Console
09 - Finding services in the console
10 - Enabling APIs
11 - Checking the status of Google Cloud services
12 - Lab - Using Google Cloud Console for the first time

Lesson 3 - Understanding Cloud SDK Basics

13 - Learning objectives
14 - Components of the Cloud SDK
15 - Using the Cloud SDK in the command line
16 - Using Cloud Shell

Lesson 4 - Deploying Virtual Machines with Compute Engine

17 - Learning objectives
18 - Create a virtual machine in Google Cloud
19 - Configure a virtual machine in Google Cloud
20 - Log into a virtual machine on Google Cloud
21 - Lab - Deploy a virtual machine in Google Cloud

Lesson 5 - Working with Serverless Functions

22 - Learning objectives
23 - Understand serverless functions and their benefits
24 - Create a serverless function in Google Cloud
25 - Review the limitations of Cloud Functions
26 - Demo - Testing a deployed Cloud Function

Lesson 6 - Cloud Run for Containerized Applications

27 - Learning objectives
28 - Know when to use Cloud Run
29 - Deploy a service in Cloud Run
30 - Logs and security

Lesson 7 - Google Kubernetes Engine

31 - Learning objectives
32 - Know when to use Kubernetes clusters
33 - Create an auto-pilot Kubernetes cluster
34 - Create a standard Kubernetes cluster
35 - Monitor the state of a Kubernetes cluster

Lesson 8 - Object Storage in Google Cloud

36 - Learning objectives
37 - Know when to use Cloud Storage
38 - View objects in Cloud Storage
39 - Use the command line utility to work with Cloud Storage
40 - Apply data lifecycle management concepts
41 - Create a Cloud Storage bucket
42 - Lab - Create a storage bucket

Lesson 9 - Managed Database Services in Google Cloud

43 - Learning objectives
44 - Understand the variety of managed database services
45 - Create a PostgreSQL database in Cloud SQL
46 - Use a NoSQL database to store semi-structured data
47 - Demo - Clone a Cloud SQL database
48 - Lab - Create a PostgreSQL database

Lesson 10 - BigQuery

49 - Learning objectives
50 - Review the benefits of BigQuery
51 - View data in BigQuery using the console
52 - Use datasets, tables, and views to work with data in BigQuery
53 - Use BigQuery ML to create and use a machine learning model
54 - Search for and add datasets from Analytics Hub
55 - Lab - Query data in BigQuery

Lesson 11 - AI and Machine Learning

56 - Learning objectives
57 - Use Vertex AI to create a data set
58 - Use Vertex AI to create a machine learning model
59 - Use a Vertex AI model to generate predictions

Lesson 12 - Security with Identity and Access Management

60 - Learning objectives
61 - Understand different types of identities in Google Cloud
62 - View predefined roles and permissions in Google Cloud
63 - Assign roles to identities
64 - View permissions recommendations and custom roles
65 - Lab - Review roles and permissions

Lesson 13 - Networking

66 - Learning objectives
67 - Explore the structure of a virtual private cloud
68 - Create a VPC network
69 - Create a firewall rule
70 - Lab - Create a firewall rule

Lesson 14 - Deploying Applications in Google Cloud

71 - Learning objectives
72 - Work with Artifact Registry
73 - Work with Cloud Build

Lesson 15 - Google Cloud Marketplace

74 - Learning objectives
75 - Review the purpose of Google Cloud Marketplace
76 - Search Google Cloud Marketplace
77 - Install an application from Google Cloud Marketplace
78 - Lab - Deploy a service from the Google Cloud Marketplace

Lesson 16 - Troubleshooting Your Google Cloud Operations and Resources

79 - Learning objectives
80 - Monitor cloud resources using Cloud Monitor
81 - Create an alert in Cloud Monitoring
82 - Search Cloud Logging messages
83 - Lab - Search Cloud log messages

Lesson 17 - Google Cloud Billing

84 - Learning objectives
85 - Review cloud billing concepts
86 - Create budgets and billing alerts
87 - Tips for controlling costs
88 - Lab - Create a budget

Summary

89 - Google Cloud essentials - Summary