Google Cloud Platform Essential Training for Administrators

Course details

Is Google Cloud Platform (GCP) right for your business? Explore the offerings of this leading cloud services provider. In this course, designed uniquely for IT professionals—architects, network admins, and technology stakeholders—join instructor Lynn Langit to learn how to evaluate GCP for your organization as well as those tasked with getting apps up and running on the Google cloud.

Discover how to set up an account and use the console, APIs, Cloud Shell, and other GCP tools. Then explore the core services—serverless computing, data storage, and machine learning—and the developer tools that Google provides for building your own custom solutions. Along the way, test out your new skills in real-world scenarios using GCP to manage virtual machines, Docker containers, Kubernetes clusters, functions, relational data stores, NoSQL data, and more. Lynn also shares practical tips for optimizing budgets and planning deployments, and reviews examples of common architectural patterns.

Concepts

0. Introduction

01 - Hosting your application on GCP
02 - What you should know
03 - Working with cloud services

1. Why Use Google Cloud

04 - Understanding Google Cloud Platform
05 - Save time and money with GCP
06 - Auto scale on Google Cloud Platform
07 - Services - Compute, data, and more
08 - Architecture and patterns
09 - Tools and libraries

2. Getting Started

10 - Set up a Google Cloud Platform account
11 - Navigate the GCP console
12 - Work with projects
13 - Use regions and zones
14 - Understand Google Cloud billing
15 - Use Google Cloud Security, IAM
16 - Use integrated Google Cloud console

3. File Storage and Databases

17 - File and data service selection
18 - Use Google Cloud storage
19 - Configure Google Cloud storage
20 - Google Cloud SQL
21 - Google BigQuery
22 - Google Marketplace datasets
23 - Google Firestore
24 - Google Pub Sub

4. Compute

25 - Compute service selection
26 - Use Google Compute Engine
27 - Configure Google Compute Engine
28 - Use GCE resources
29 - GCP Marketplace to set up WordPress
30 - Google Cloud Functions
31 - Google Cloud Run

5. Developer Tools

32 - Developer Tools selection
33 - Cloud Logging
34 - Cloud Scheduler
35 - Cloud Code for Visual Studio Code for Compute Engine
36 - Cloud Code for Visual Studio Code for CloudRun

6. Data Evaluation

37 - Data evaluation services selection
38 - Google Dataprep
39 - Google Data Fusion
40 - BigQuery ad hoc visualizations
41 - BigQuery machine learning

7. Machine Learning

42 - ML model management tools selection
43 - Colab notebooks
44 - Vertex AI-managed notebooks
45 - Vertex AI user-managed notebooks
46 - Cloud Vision API
47 - Cloud AutoML for text analysis

Conclusion

48 - Learning more about GCP