Virtual Class
- This class has passed.
Jan
1
Google Cloud Fundamentals: Core Infrastructure
January 1 @ 9:00 AM - 5:00 PM AEST
Virtual Class
Free
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GOOGLE CLOUD FUNDAMENTALS: CORE INFRASTRUCTURE
This instructor led live training uses lectures, demos, and hands-on labs to give you an overview of Google Cloud products and services so that you can learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies.
What you Will learn
- Identify the purpose and value of Google Cloud products and services
- Interact with Google Cloud services
- Describe ways in which customers have used Google Cloud
- Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine
- Choose among and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore
- Make basic use of BigQuery, Google’s managed data warehouse for analytics
What's Included?
Instructor Live Training
An instructor will answer your questions
OFFICIAL GOOGLE CLOUD CONTENT
Course content reflects the latest google cloud class
hands on labs
Real world hands on labs provided by Qwiklabs and supported by instructor
CertIficate of completion
Receive official certificate on completion of 80% of labs
Who's this course for?
- 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
Level
- Beginner
Language
- Delivered in English
Duration
- 1 x 8 hour session
Prerequisites
- Familiarity with application development, systems operations, Linux operating systems, and data analytics/machine learning is helpful in understanding the technologies covered.
products
- Google Cloud IAM
- Cloud Marketplace
- BigQuery
- Compute Engine
- Cloud Storage
- Cloud Bigtable
- Cloud SQL
- Cloud Spanner
- Firestore
- Kubernetes Engine
- App Engine
- Cloud Source Repositories
- Cloud Functions
- Deployment Manager
Course Content
Objectives
- 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)
Objectives
- 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.
Activities
- Lab: Getting Started with Cloud Marketplace
Objectives
- Identify the purpose of and use cases for Compute Engine
- Understand the basics of networking in Google Cloud
Activities
- Lab: Getting Started with Google Compute Engine
Objectives
- 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
Activities
- Lab: Getting Started with Cloud Storage and Cloud SQL.
Objectives
- 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)
Activities
- Lab: Getting Started with Kubernetes Engine.
Objectives
- 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.
Activities
- Lab: Getting Started with App Engine.
Objectives
- Understand how Cloud Source Repositories, Cloud Functions, and Deployment Manager support development in the cloud
- Understand the purpose of integrated monitoring, alerting, and debugging
Activities
- Lab: Getting Started with Deployment Manager and Cloud Monitoring.
Objectives
- Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms
Activities
- Lab: Getting Started with BigQuery.
Objectives
- Summary and Review.
- What’s Next?
Ref: T-GCPFCI-B-01