Google Cloud
Fundamentals
HANDS-ON LABS (IN-PERSON!)
Dec 8th, 2022

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Starting with Google Cloud? 

 

This is your opportunity to learn the basics of Google Cloud’s services and get real hands-on experience with Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, BigQuery, and more. You will also get the chance to sit down with a certified Solution Architect to review your current cloud architecture.

  • Prerequisites – Familiarity with application development, systems operations, and Linux operating systems is helpful in understanding the technologies covered.
  • Level – Beginner
  • Important note: The class will be delivered in Hebrew. Participants must bring laptops to participate.

COURSE SYLLABUS

Module 1: Introducing Google Cloud Platform
  • Module 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
  • Classify the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS)
Module 2: Resources & Access in the Cloud
 
  • 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
  • Lab: Getting Started with Cloud Marketplace
Module 3: Virtual Machines & Networks in the Cloud
 
  • Identify the purpose of and use cases for Google Compute Engine
  • Networking, operational tools and services
  • Lab: Getting Started with VPC Networking
Module 4: Storage in the Cloud
 
  • Understand the purpose of and use cases for Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore
  • Learn how to choose between the various storage options on Google Cloud Platform
  • Lab: Cloud Storage and Cloud SQL
Module 5: Containers in the Cloud
 
  • Define the concept of a container and identify uses for containers
  • Identify the purpose of and use cases for Google Kubernetes Engine and Kubernetes
  • Lab: Kubernetes Engine
Module 6: Applications in the Cloud
 
  • Understand the purpose of and use cases for Google App Engine
  • Contrast the App Engine Standard environment with the App Engine Flexible environment
  • Understand the purpose of and use cases for Google Cloud Endpoints
  • Lab: App Engine
Module 7: Developing, Deploying, and Monitoring in the Cloud
 
  • Learn about options for software developers to host their source code
  • Learn about the purpose of template-based creation and management of resources
  • Learn about the purpose of integrated monitoring, alerting, and debugging
  • Lab: Deployment Manager and Stackdriver
Module 8: Big Data and Machine Learning in the Cloud
 
  • Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms
  • Lab: BigQuery

AGENDA

09:30- 10:00

Gathering & Breakfast

10:30- 13:00

Introducing Google Cloud Platform

10:00- 13:00

- Resources & Access (Lab: Getting Started with Cloud Marketplace) - Virtual Machines & Networks (Lab: Getting Started with VPC Networking) - Storage & Databases (Lab: Cloud Storage and Cloud SQL)

13:00- 13:45

Lunch

13:45- 16:45

Google Cloud Platform Labs - Part II

- Containers (Lab: Kubernetes Engine)
- Applications (Lab: App Engine)
- Development, Deployment & Monitoring (Lab: Deployment Manager & Stackdriver)
- Big Data & Machine Learning (Lab: BigQuery)

16:45- 17:00

Course Summary

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