Google Cloud Platform Essential Training for Administrators

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Lynn Langit

3:35:05

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01 - Introduction

01 - Hosting your application on GCP.mp4

00:42

02 - What you should know.mp4

02:17

03 - Working with cloud services.mp4

03:08

02 - 1. Why Use Google Cloud

01 - Understanding Google Cloud Platform.mp4

03:28

02 - Save time and money with GCP.mp4

05:41

03 - Auto scale on Google Cloud Platform.mp4

05:02

04 - Services Compute, data, and more.mp4

04:33

05 - Architecture and patterns.mp4

01:59

06 - Tools and libraries.mp4

02:53

03 - 2. Getting Started

01 - Set up a Google Cloud Platform account.mp4

05:00

02 - Navigate the GCP console.mp4

05:05

03 - Work with projects.mp4

04:19

04 - Use regions and zones.mp4

04:05

05 - Understand Google Cloud billing.mp4

05:10

06 - Use Google Cloud Security, IAM.mp4

06:09

07 - Use integrated Google Cloud console.mp4

05:19

04 - 3. File Storage and Databases

01 - File and data service selection.mp4

04:55

02 - Use Google Cloud storage.mp4

05:01

03 - Configure Google Cloud storage.mp4

05:51

04 - Google Cloud SQL.mp4

06:35

05 - Google BigQuery.mp4

05:15

06 - Google Marketplace datasets.mp4

03:18

07 - Google Firestore.mp4

03:53

08 - Google PubSub.mp4

05:01

05 - 4. Compute

01 - Compute service selection.mp4

02:58

02 - Use Google Compute Engine.mp4

06:09

03 - Configure Google Compute Engine.mp4

08:59

04 - Use GCE resources.mp4

02:46

05 - GCP Marketplace to set up WordPress.mp4

03:58

06 - Google Cloud Functions.mp4

07:35

07 - Google Cloud Run.mp4

06:42

06 - 5. Developer Tools

01 - Developer Tools selection.mp4

01:39

02 - Cloud Logging.mp4

03:12

03 - Cloud Scheduler.mp4

02:27

04 - Cloud Code for Visual Studio Code for Compute Engine.mp4

04:19

05 - Cloud Code for Visual Studio Code for CloudRun.mp4

02:27

07 - 6. Data Evaluation

01 - Data evaluation services selection.mp4

02:02

02 - Google Dataprep.mp4

07:30

03 - Google Data Fusion.mp4

06:23

04 - BigQuery ad hoc visualizations.mp4

03:24

05 - BigQuery machine learning.mp4

05:07

08 - 7. Machine Learning

01 - ML model management tools selection.mp4

02:45

02 - Colab notebooks.mp4

02:33

03 - Vertex AI-managed notebooks.mp4

05:34

04 - Vertex AI user-managed notebooks.mp4

05:33

05 - Cloud Vision API.mp4

06:45

06 - Cloud AutoML for text analysis.mp4

06:56

09 - Conclusion

01 - Learning more about GCP.mp4

02:43

Description

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.

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Software Engineering

Kubernetes

Google Cloud

Lynn Langit

Instructor's Courses

Cloud Architect working with remote dev teams world-wide to build cloud solutions. Author of 30 LinkedIn Learning Cloud/Data courses with over 5 million student views. https://www.linkedin.com/learning/instructors/lynn-langit

Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.