Google Cloud Platform Fundamentals for AWS Professionals

The best course to get started on Google Cloud if you already know AWS

1 day (7 hours)

Webinar gratuit

9 Juillet 2020

Migration vers Google Cloud

Inscrivez-vous gratuitement

Course overview

This 1-day instructor led course introduces AWS professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database.

It is designed for AWS system administrators, Solution Architects and SysOps Administrators familiar with AWS features and setup; and want to gain experience configuring Google Cloud products immediately.

With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly.

Learning outcomes

This course teaches participants the following skills:

  • Identify Google Cloud counterparts for AWS IaaS, AWS PaaS, AWS SQL, AWS Blob Storage, AWS Application Insights, and AWS Data Lake
  • Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more
  • Manage and monitor applications
  • Explain feature and pricing model differences

Prerequisites

To get the most out of this course, participants should have:

  • Have basic proficiency with networking technologies like subnets and routing
  • Have basic proficiency with command-line tools
  • Students are expected to have experience with Amazon VPC, Amazon EC2 instances, and disks.
  • Familiarity with Amazon S3 and AWS database technologies is recommended.

Target audience

This course is intended for the following participants:

  • individuals planning to deploy applications and create application environments on Google Cloud.
  • developers, systems operations professionals, and solution architects getting started with Google Cloud.
  • executives and business decision makers evaluating the potential of Google Cloud to address their business needs.

Course Outline

  1. Introducing Google Cloud
  2. Explain the advantages of Google Cloud.
  3. Define the components of Google’s network infrastructure, including: Points of presence, data centers, regions, and zones.
  4. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS).

  5. Getting Started with Google Cloud

  6. Identify the purpose of projects on Google Cloud Platform.

  7. Understand how AWS’s resource hierarchy differs from Google Cloud’s.

  8. Understand the purpose of and use cases for Identity and Access Management.

  9. Understand how AWS IAM differs from Google Cloud IAM.

  10. List the methods of interacting with Google Cloud Platform.

  11. Launch a solution using Cloud Marketplace.

  12. Virtual Machines in the Cloud

  13. Identify the purpose and use cases for Google Compute Engine.

  14. Understand the basics of networking in Google Cloud Platform.

  15. Understand how Amazon VPC differs from Google VPC.

  16. Understand the similarities and differences between Amazon EC2 and Google Compute Engine.

  17. Understand how typical approaches to load-balancing in Google Cloud differ from those in AWS.

  18. Deploy applications using Google Compute Engine.

  19. Storage in the Cloud

  20. Understand the purpose of and use cases for: Cloud Storage, Cloud SQL, Cloud Bigtable and Cloud Datastore.

  21. Understand how Amazon S3 and Amazon Glacier compare to Cloud Storage.

  22. Compare Google Cloud’s managed database services with Amazon RDS and Amazon Aurora.

  23. Learn how to choose among the various storage options on Google Cloud Platform.

  24. Load data from Cloud Storage into BigQuery.

  25. Perform a query on the data in BigQuery.

  26. Containers in the Cloud

  27. Define the concept of a container and identify uses for containers.

  28. Identify the purpose of and use cases for Google Container Engine and Kubernetes.

  29. Understand how Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) differ from GKE.

  30. Provision a Kubernetes cluster using Kubernetes Engine.

  31. Deploy and manage Docker containers using kubectl.

  32. Applications in the Cloud

  33. Understand the purpose of and use cases for Google App Engine.

  34. Contrast the App Engine Standard environment with the App Engine Flexible environment.

  35. Understand how App Engine differs from Amazon Elastic Beanstalk.

  36. Understand the purpose of and use cases for Google Cloud Endpoints.

  37. Developing, Deploying and Monitoring in the Cloud

  38. Understand options for software developers to host their source code.

  39. Understand the purpose of template-based creation and management of resources.

  40. Understand how Cloud Deployment Manager differs from AWS CloudFormation.

  41. Understand the purpose of integrated monitoring, alerting, and debugging.

  42. Understand how Google Monitoring differs from Amazon CloudWatch and AWS CloudTrail.

  43. Create a Deployment Manager deployment.

  44. Update a Deployment Manager deployment.

  45. View the load on a VM instance using Google Monitoring.

  46. Big Data and Machine Learning in the Cloud

  47. Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms.

  48. Understand how Google Cloud BigQuery differs from AWS Data Lake.

  49. Understand how Google Cloud Pub/Sub differs from AWS Event Hubs and Service Bus.

  50. Understand how Google Cloud’s machine-learning APIs differ from AWS’s.

  51. Load data into BigQuery from Cloud Storage.

  52. Perform queries using BigQuery to gain insight into data.

  53. Summary and Review

  54. Review the products that make up Google Cloud and remember how to choose among them

  55. Understand next steps for training and certification

  56. Understand, at a high level, the process of migrating from AWS to Google Cloud.

€700 ex. VAT

Suggested courses

GCP300ANT
Architecting Hybrid Cloud Infrastructure with Anthos
This two-day instructor-led course prepares students to modernize, manage, and observe their applications using Kubernetes whether the application is deployed on-premises or on Google Cloud Platform (GCP). Through presentations, and hands-on labs, participants explore and deploy using Kubernetes Engine (GKE), GKE Connect, Istio service mesh and Anthos Config Management capabilities that enable operators to work with modern applications even when split among multiple clusters hosted by multiple providers, or on-premises.
GCP200AGCE
Architecting with Google Compute Engine
This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
GCP200AGKE
Architecting with Google Kubernetes Engine
This three-day instructor-led class introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. This course also covers deploying practical solutions including security and access management, resource management, and resource monitoring.
GCP200AZURE
Google Cloud Fundamentals for Azure Professionals

This 1-day instructor led course introduces Azure professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database.

It is designed for Azure system administrators, Solution Architects and SysOps Administrators familiar with Azure features and setup; and want to gain experience configuring Google Cloud products immediately.

With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly.

GCP100A
Google Cloud Platform Fundamentals: Core Infrastructure
This one-day instructor-led class provides an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and hands-on labs, participants learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.
GCPCERT-ACE
Preparing for the Associate Cloud Engineer Examination
This one day course helps prospective candidates structure their preparation for the Associate Cloud Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, demos and hands-on labs, candidates will familiarize themselves with the domains covered by the examination. This course by itself will not prepare a candidate to pass the Associate Cloud Engineer certification exam. It will, however, help the candidate better understand the areas covered by the exam and navigate the recommended resources provided by Google and Qwiklabs for preparing to take the exam, so they can formulate their own personal study plan.
GCPCERT-A
Preparing for the Professional Cloud Architect Examination
This course provides information, tips, and advice on taking the Google Cloud Certified – Professional Cloud Architect exam. Identify skill gaps and further areas of study and be pointed to appropriate target learning resources. The best preparation is real-world experience combined with training. Make certification your goal!

Contact us

You can unsubscribe from our communications at any time.

In order to take into account your request, we must store and process your personal data. If you authorize us to store your personal data for this purpose, check the box below.

By clicking on « Send » below, you authorize SFEIR to store and process the personal data submitted above so that it can provide you with the requested content.