Describe some of the key ways an organization can modernize its infrastructure modernization with Google Cloud technology.
Explain Google Cloud's recommended patterns for modernizing and developing applications and how Google Cloud Platform services can help.
Explain what is meant by the term "machine learning" and identify good use cases for it.
Explain the common challenges when it comes to cloud cost management and recommended best practices to address these challenges.
This course builds on the Business Transformation with Google Cloud course by taking you on a journey into the technology lens of an organization’s transformation. Specifically, we’ll explain how an organization can achieve digital transformation using Google Cloud’s technology through the following categories: modernizing its IT infrastructure, upgrading the way in which its teams develop applications that run a business, how it can leverage machine learning and artificial intelligence to build new value, how using cloud-based productivity tools like GSuite are essential to the way work gets done, and understand the cost management opportunities and challenges that come with a changing cloud-based IT infrastructure.
Throughout the course, we’ll explain core concepts such as compute, applications, security, APIs, databases, and their roles in digital transformation. You’ll also learn about specific examples where different cloud technology has been used and the benefits they’ve created for individuals and companies globally. More importantly, we’ll equip you with the knowledge you’ll need to either lead or influence digital transformation projects, collaborating with the right stakeholders.
Welcome to Google Cloud Product Fundamentals
In this module, you'll meet your first instructor, learn about the course structure, and gain an overview of the content covered in the upcoming modules.
Module 1: Modernizing IT Infrastructure with Google Cloud Platform (GCP)
This module explores the value of modernizing a traditional company's IT infrastructure and the different ways business professionals can use public cloud providers to achieve their goals. It also explains how Google Cloud Platform (GCP) addresses common cyber security concerns and describes some of GCP's compute solutions and how they can bring value to an organization.
Module 2: Building Applications with Google Cloud Platform (GCP)
The previous module looked at infrastructure modernization with GCP. This module explores modernizing and building applications with GCP. Applications need data, so this module also looks at key aspects of data storage and discusses different GCP storage and database services.
Module 3: Transforming business with Artificial Intelligence and Machine Learning
This module explores what the term "machine learning" means. It looks the role of data to train machine learning models and the requirements for quality data, and then discusses common use cases for machine learning across a range of industries. Finally, it explains at how GCP can help with your machine learning projects.
Module 4: Transforming the way work gets done
Legacy tools limit people's ability to collaborate. This module investigates why collaboration is so transformative for the way people work and explores how G Suite can help you drive a collaborative culture within an organization. Finally, this module describes the impact of G Suite on both the individual and the overall organization with industry examples.
Module 5: Understanding cloud cost management
Financial planning and cost management procedures may change when an organization moves from an on-premises or to a cloud-based IT infrastructure or from single cloud to multi-cloud providers. This module explores the key changes, including looking at how to think about the total cost of ownership of your IT in various scenarios. Finally, it discusses GCP's recommended best practices for effective cloud cost management.
Find out about additional courses, resources, and professional services offered by Google Cloud that you can take advantage of.