Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Digital Transformation Using AI/ML with Google Cloud 专项课程

位教师：Google Cloud Training

11,695 人已注册

包含在 Coursera Plus 中

了解更多

3 门课程系列

深入学习学科知识

4.7

（549 条评论）

初级等级

无需具备相关经验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

3 门课程系列

深入学习学科知识

4.7

（549 条评论）

初级等级

无需具备相关经验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

This series of courses begins by introducing fundamental Google Cloud concepts to lay the foundation for how businesses use data, machine learning (ML), and artificial intelligence (AI) to transform their business models.

The specialization is intended for anyone interested in how the use of AI and ML for the cloud, and especially for data, creates opportunities and requires change for businesses. No previous experience with ML, programming, or cloud technologies is required. The courses do not include any hands-on technical training.

应用的学习项目

要了解的详细信息

可分享的证书

添加到您的领英档案

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

精进特定领域的专业知识

向大学和行业专家学习热门技能
借助实践项目精通一门科目或一个工具
培养对关键概念的深入理解
通过 Google Cloud 获得职业证书

专业化 - 3门课程系列

应用的学习项目

Digital Transformation with Google Cloud

第 1 门课程2小时

您将学到什么

Explain why and how the cloud revolutionizes businesses.
Explain general cloud concepts.
Discuss the benefits and tradeoffs of using Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

您将获得的技能

类别：Cloud Computing

类别：Software As A Service

类别：Cloud Infrastructure

类别：Digital Transformation

类别：Infrastructure As A Service (IaaS)

类别：Platform As A Service (PaaS)

类别：Hybrid Cloud Computing

类别：Public Cloud

类别：Google Cloud Platform

类别：Cloud Services

类别：Multi-Cloud

类别：Technology Strategies

类别：Business Transformation

类别：Cloud Security

Modernize Infrastructure and Applications with Google Cloud

第 2 门课程1小时

您将学到什么

Understand the role that cloud modernization and migration plays in an organization's digital transformation.
Examine available options to run compute workloads in the cloud.
Explore the advantages of using containers, serverless computing, and APIs in application modernization.
Learn about the business reasons to choose hybrid or multi-cloud strategies, and how GKE Enterprise can help support these strategies.

您将获得的技能

类别：Microservices

类别：Hybrid Cloud Computing

类别：Kubernetes

类别：Cloud Computing

类别：Application Programming Interface (API)

类别：Multi-Cloud

类别：Serverless Computing

类别：Containerization

类别：Digital Transformation

类别：Technology Strategies

类别：Cloud-Native Computing

类别：Virtual Machines

类别：Google Cloud Platform

类别：Application Development

类别：Cloud Infrastructure

Managing Machine Learning Projects with Google Cloud

第 3 门课程13小时

您将学到什么

Explore common machine learning use cases implemented by businesses.
Assess the feasibility of your own ML use case and its ability to meaningfully impact your business.
Identify the requirements to build, train, and evaluate an ML model.
Define data characteristics and biases that affect the quality of ML models and recognize key considerations for managing ML projects.