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
