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This course uses lectures, demos, and hands-on labs to give you an overview of Google Cloud products and services so that participants can learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies.
Course Objectives
- 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.
Course Outline
Module 1: Introducing Google Cloud (GC)
- 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
- Understand the purpose of and use cases for Identity and Access Management and
- List the methods of interacting with GC.
- Lab: Getting Started with Cloud Marketplace.
Module 3: Virtual Machines in the Cloud
- Identify the purpose of and use cases for Google Compute Engine and the basics of networking in GC.
- 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
- 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
- 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 (Cont’)
- 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.
Date & Time
Date: 23 Nov 2024
Time: 09:30 – 17:00
Medium
Cantonese, supplemented with English terminology
Course Fee
FREE
Mode of Delivery
Online Broadcast
Prerequisite
Be familiar with application development, systems operations, Linux operating systems, and data analytics/ machine learning is helpful in understanding the technologies covered.
Who Should Attend?
- Planned 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