Overall Duration : 11.30 Hours
110 Video Lessons
Google Cloud Platform Fundamentals
Duration : 5:00 Hours
1. Welcome to the Google Cloud Platform Fundamentals (9 min)
2. Introducing the Google Cloud Platform (7 min)
3. Google Cloud Platform Services (19 min)
4. Demo: Getting Started with the Google Cloud Launcher (8 min)
5. Examples of Using the Google Cloud Platform (5 min)
6. Lab: Register for the free trial and create a project (9 min)
7. Interacting with the Google Cloud Platform (15 min)
8. Demo: APIs Explorer & OAuth 2.0 Playground (11 min)
9. Lab: Configure the Cloud SDK on a Compute Engine Instance (13 min)
10. Getting Started with Projects (13 min)
11. Google Compute Engine (13 min)
12. Lab: Getting Started with Compute Engine (13 min)
13 Google Container Engine (22 min)
14. Lab: Getting Started with Container Engine (16 min)
15. Google App Engine (13 min)
16. Lab: Getting started with App Engine (19 min)
17. Google Cloud Datastore (11 min)
18. Lab: Getting started with Cloud Datastore (12 min)
19. the Google Cloud the Storage (11 min)
20. Lab: the Getting the Started with the Storage Cloud (11 min)
21. the Google Cloud the SQL (8 min)
22. Lab: the Getting the Started with the SQL Cloud (16 min )
23. Google BigQuery (7 min)
24. Lab: Getting started with BigQuery (9 min)
25. Support & Resources (5 min)
Google Cloud Platform Essential Training
Duration : 4:01 Hours
Introduction
Solution: Using the exercise Other files is
A note Note about working with services cloud is
1. for What Is the the Google Cloud Platform?
Understanding cloud services
Introducing compute services
Introducing storage services
Introducing database services
Introducing other services
2. Why Use the Google Cloud?
Saving time and money with cloud services
Exploring Google's autoscaling and infrastructure
Understanding Google's compliance options
Getting to know the personality of the Google Cloud Platform
Finding helpful tools and libraries
3. Getting Started with the Google Cloud
Setting up your account and working with the console
Working with location and projects
Understanding billing
Enabling services and APIs
Working with project security
Setting up command-line access with gcloud
Using walk-throughs and samples
Planning for cloud deployments with PlanForCloud
4. Using Google Compute Services
Understanding Compute Service options
Working with Google Compute Engine
Using WordPress server
Using GCE resources and scopes
Using App Engine
Using Endpoints
Using Docker and Container Engine
Understanding managed VMs in Google App Engine
Understanding Google compute services
5. Using Google Database and Storage Services
Understanding database and storage options
Using cloud storage
Using cloud SQL
Using Cloud Datastore
Using BigQuery
Using BigTable
Introducing Pub / Sub, Dataproc, and Dataflow
Using BIME to visualize BigQuery results
Understanding Google storage services and pricing
6. Using Other Services
Understanding other services
Using Google Cloud networking services
Using Cloud Monitoring and source code
Using Prediction API
Using Genomics API
7. Using Other Tools
The command gcloud Solution: Using-line tool
Solution: Using Cloud Playground's: Working with the Python
Solution: Using the Python Sublime with
Solution: Using the plugin the Eclipse with the Java
Solution: Using the Codenvy the IDE with the Java
Summary A of tools
8. Implementing Solutions: Architects and Practices
Using reference architectures
Using web application architecture
Using mobile and games architecture
Using real-time streams architecture
Exploring some best practices
Reviewing your launch checklist
Exploring some other resources
Up and Running with Google Cloud Platform
Duration : 2: 31 Hours
Introduction
1. Introduction to the the Google Cloud Platform
Understanding the the Google Cloud Platform
the Exploring the core components
the Getting underway to
Avoiding the unintended charges on the Google Cloud
2. Hosting the Web and Mobile Apps,
Understanding the the Google the App Engine
Deploying an example the app
Solution: Using the project console
Approaching App Engine services
3. Analyzing Massive Datasets
Working with BigQuery
Loading data
Querying data
Exporting data
Managing data projects
4. Enabling Multitiered Storage
Understanding Google Cloud Storage
Working with buckets
Manipulating objects in buckets
5. Managing Cloud-Based Applications
Understanding Google Compute Engine
Spinning up an instance
Working with resources
Managing instances
6. Developing Databases in the Sky
Understanding Google Cloud SQL
Managing database instances
Importing and exporting data
Querying the SQL database
Scheduling backups
Working with Google Cloud Datastore
Creating Datastore entities
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This DVDs are only suitable for a PC/laptop/Mac; it WILL NOT play on a TV
This DVDs are only suitable for a PC/laptop/Mac; it WILL NOT play on a TV
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