Solution Developer Step 1 Platform Fundamentals (CP100A)

Solution Developer Learning Path

This 1 day instructor-led class introduces participants to Google Cloud Platform products and services. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.

Objectives

  • Identify the purpose and value of each of the Google Cloud Platform products and services
  • Explain the difference between Iaas and PaaS
  • List the methods of interacting with Google Cloud Platform services
  • Describe ways in which customers have used Google Cloud Platform to improve their businesses
  • Understand how to choose an appropriate application deployment environment on Google Cloud Platform: Google App Engine, Google Container Engine, or Google Compute Engine
  • Deploy an application to: Google App Engine, Google Container Engine, and Google Compute Engine
  • Compare the Google Cloud Platform storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore
  • Deploy an application that uses Google Cloud Datastore and Google Cloud Storage to store data
  • Load data into BigQuery and query it

Intended Audience

This class is intended for solutions developers, systems operations professionals, and solution architects planning to deploy applications and create application environments on Google Cloud Platform. This class is also suitable for executives and business decision makers evaluating the potential of Google Cloud Platform to address their business needs.

Prerequisites

None. Familiarity with application development, Linux operating systems, systems operations, and data analytics/machine learning is helpful in understanding the technologies covered.

Course Outline

  1. Introducing Google Cloud Platform
    • Explain the advantages of Google Cloud Platform
    • Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones
    • Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS)
    • Register for the GCP free trial
    • Create a project using the Cloud Platform Console
  2. Getting Started with Google Cloud Platform
    • Identify the purpose of projects on Google Cloud Platform
    • Understand the purpose of and use cases for Identity and Access Management
    • List the methods of interacting with Google Cloud Platform
    • Deploy a LAMP stack using Google Cloud Launcher
  3. Google App Engine and Google Cloud Datastore
    • Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore
    • Contrast the App Engine Standard environment with the App Engine Flexible environment
    • Understand the purpose of and use cases for Google Cloud Endpoints
    • Deploy a sample Python application called Bookshelf to the App Engine standard runtime environment
    • Test the Bookshelf application and inspect data saved to Cloud Datastore
  4. Google Cloud Platform Storage Options
    • Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, and Google Cloud Bigtable
    • Learn how to choose between the various storage options on Google Cloud Platform
    • Create a Google Cloud Storage bucket to store images
    • Deploy an App Engine application that uses Cloud Storage
    • Use the Cloud Storage Browser to view objects
  5. Google Container Engine
    • Define the concept of a container and identify uses for containers
    • Identify the purpose of and use cases for Google Container Engine and Kubernetes
    • Create a container cluster using the Cloud SDK
    • Build and push a Bookshelf image to Container Registry
    • Use kubectl to deploy the Bookshelf container
  6. Google Compute Engine and Networking
    • Identify the purpose of and use cases for Google Compute Engine
    • Understand the various Google Cloud Platform networking and operational tools and services
    • Create a Google Compute Engine instance
    • Deploy the Bookshelf application using a startup script
    • Add a firewall rule to allow HTTP traffic to the application
  7. Big Data and Machine Learning
    • Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms
    • Load a CSV file into a BigQuery table using the web UI
    • Query the data using the BigQuery web UI
    • Query the data using the CLI and the BigQuery shell