Google Cloud

Google Cloud Digital Leader Training 专业证书

Google Cloud

Google Cloud Digital Leader Training 专业证书

Boost your knowledge in cloud computing..

Prepare for the Google Cloud Digital Leader certification exam with this program.

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获得职业证书,展示您的专业知识

来自此计划中课程的 4,849 条评论

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4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
获得职业证书,展示您的专业知识

来自此计划中课程的 4,849 条评论

初级 等级

推荐体验

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

  • Recall fundamental cloud terminology.

  • Identify Google Cloud products and solutions that support digital transformation.

  • Explain how cloud technology and data can be leveraged to innovate within organizations.

  • Identify key change patterns and Google Cloud products for infrastructure and application modernization.

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授课语言:英语(English)

91%

of learners achieved a positive career outcome

了解顶级公司的员工如何掌握热门技能

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

专业认证 - 6门课程系列

Digital Transformation with Google Cloud

Digital Transformation with Google Cloud

第 1 门课程, 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:Software As A Service
类别:Cloud Computing
类别:Cloud Infrastructure
类别:Digital Transformation
类别:Infrastructure As A Service (IaaS)
类别:Public Cloud
类别:Hybrid Cloud Computing
类别:Cloud Services
类别:Operating Expense
类别:Technology Strategies
类别:Platform As A Service (PaaS)
类别:Multi-Cloud
类别:Cloud Security
类别:Business Transformation
Exploring Data Transformation with Google Cloud

Exploring Data Transformation with Google Cloud

第 2 门课程, 小时

您将学到什么

  • Explain how organizations unlock business value from data and differentiate between structured, semistructured, and unstructured data types.

  • Select the appropriate Google Cloud data management solution to meet specific organizational workloads.

  • Explain how to derive actionable business intelligence and evaluate the impact of real-time streaming analytics.

您将获得的技能

类别:Google Cloud Platform
类别:Data Storage
类别:Data Transformation
类别:Cloud Storage
类别:Looker (Software)
类别:Data Management
类别:Business Intelligence
类别:Data Governance
类别:Data-Driven Decision-Making
类别:Data Processing
类别:Data Warehousing
类别:Database Systems
类别:Dataflow
类别:Big Data
类别:Real Time Data
类别:Business Transformation
类别:Governance
类别:Digital Transformation
类别:Analytics
Innovating with Google Cloud Artificial Intelligence

Innovating with Google Cloud Artificial Intelligence

第 3 门课程, 小时

您将学到什么

  • Explore the fundamental concepts of artificial intelligence, machine learning, generative AI, and agentic AI.

  • Identify the specific business problems machine learning can solve, along with the importance of high quality data and responsible AI practices.

  • Describe the four distinct paths to building machine learning models on Google Cloud, and the AI Hypercomputer architecture that supports them.

  • Examine the strategic tradeoffs around speed, differentiation, expertise, and effort required to choose the right AI solution for an organization.

您将获得的技能

类别:Artificial Intelligence and Machine Learning (AI/ML)
类别:Data Quality
类别:Machine Learning
类别:Applied Machine Learning
类别:Artificial Intelligence
类别:Google Cloud Platform
类别:Responsible AI
类别:AI literacy
类别:Natural Language Processing
类别:Model Training
类别:Computer Vision
类别:Cloud API
类别:Data Ethics
类别:Digital Transformation
类别:Business Transformation
Modernize Infrastructure and Applications with Google Cloud

Modernize Infrastructure and Applications with Google Cloud

第 4 门课程, 小时

您将学到什么

  • Define cloud migration terminology and explain the value of shifting from traditional hardware to cloud computing models.

  • Explore the differences between virtual machine (VM), container, and serverless computing architectures.

  • Examine strategies for managing data and compute workloads across hybrid and multicloud distributed environments.

  • Compare traditional and modern cloud app development, and identify tools for rehosting legacy apps.

您将获得的技能

类别:Containerization
类别:Cloud Infrastructure
类别:Serverless Computing
类别:Multi-Cloud
类别:Application Programming Interface (API)
类别:Kubernetes
类别:Hybrid Cloud Computing
类别:Digital Transformation
类别:Cloud Deployment
类别:Google Cloud Platform
类别:Technology Strategies
类别:Business Transformation
类别:Cloud Computing
Trust and Security with Google Cloud

Trust and Security with Google Cloud

第 5 门课程, 小时

您将学到什么

  • Identify fundamental security concepts.

  • Explore the business value of Google’s defense-in-depth multilayered approach to infrastructure security.

  • Learn how Google Cloud works to earn and maintain customer trust in the cloud.

您将获得的技能

类别:Cloud Security
类别:Identity and Access Management
类别:Distributed Denial-Of-Service (DDoS) Attacks
类别:Information Privacy
类别:Threat Management
类别:Authorization (Computing)
类别:Infrastructure Security
类别:Cybersecurity
类别:Cyber Governance
类别:Data Storage
类别:Data Centers
类别:Security Controls
类别:Public Cloud
类别:Network Security
类别:Authentications
类别:Data Security
类别:Google Cloud Platform
类别:Cloud Services
类别:Cloud Computing
类别:Threat Detection
Scaling with Google Cloud Operations

Scaling with Google Cloud Operations

第 6 门课程, 小时

您将学到什么

  • Learn how Google Cloud can help organizations manage cloud finances and costs.

  • Explore the basic concepts of modern cloud operations, reliability, and resilience.

  • Learn how Google Cloud helps organizations reach their sustainability goals and reduce their environmental impact.

您将获得的技能

类别:Site Reliability Engineering
类别:Google Cloud Platform
类别:Corporate Sustainability
类别:Cost Management
类别:Cost Control
类别:Cloud Platforms
类别:Operational Excellence
类别:Operational Efficiency
类别:Cloud Infrastructure
类别:Cloud Computing
类别:Budget Management
类别:DevOps
类别:Sustainable Business
类别:Cloud Management
类别:Operations
类别:Customer Support
类别:Scalability

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¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (5/1/2025 - 5/1/2026)