Google Cloud Fundamentals: Core Infrastructure

Course Certification

This course helps you prepare to take the:
Google Cloud Certified Associate Cloud Engineer Exam;

Course Outline

Module 1: Introducing Google Cloud

• Explain the advantages of Google Cloud.
• 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).

Module 2: Getting Started with Google Cloud

• Identify the purpose of projects on Google Cloud.
• Understand the purpose of and use cases for Identity and Access Management.
• List the methods of interacting with Google Cloud.
• Lab: Getting Started with Cloud Marketplace.

Module 3: Virtual Machines in the Cloud

• Identify the purpose of and use cases for Google Compute Engine.
• Understand the basics of networking in Google Cloud.
• Lab: Getting Started with Google Compute Engine.

Module 4: Storage in the Cloud

• Understand the purpose of and use cases for: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore.
• Learn how to choose between the various storage options on Google Cloud.
• Lab: Getting Started with 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.
• Introduction to Hybrid and Multi-Cloud computing (Anthos).
• Lab: Getting Started with Kubernetes Engine.

Module 6: Applications in the Cloud

• Understand the purpose of and use cases for App Engine.
• Contrast the App Engine standard environment with the App Engine flexible environment.
• Understand the purpose of and use cases for Cloud Endpoints.

• Lab: Getting Started with App Engine.

Module 7: Containers in the Cloud

• Understand how Cloud Source Repositories, Cloud Functions, and Deployment Manager support development in the cloud.
• Understand the purpose of integrated monitoring, alerting, and debugging.
• Lab: Getting Started with Deployment Manager and Cloud Monitoring.

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: Getting Started with BigQuery.

Module 9: Summary and Review

• Summary and Review.
• What’s Next?

Course Mode

Instructor-Led Remote Live Classroom Training;

Trainers

Trainers are GCP Official Instructors and certified in other IT technologies, with years of hands-on experience in the industry and in Training.

Lab Topology

For all types of delivery, the Trainee can access real Cisco equipment and systems in our laboratories or directly at the Cisco data centers remotely 24 hours a day. Each participant has access to implement the various configurations thus having a practical and immediate feedback of the theoretical concepts.
Here are some Labs topologies available: