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Google Cloud Digital Leader Certification - For Beginners
Note : 4,7 sur 5(1,201 notes)
6 479 participants
Dernière mise à jour : 11/2025
Anglais

Ce que vous apprendrez

  • Define key terms such as cloud, cloud technology, data, and digital transformation
  • Compare and contrast cloud technology and traditional or on-premises technology
  • Identify common Google Cloud solutions for data management
  • Explain the benefits of Google Cloud data products, including: Looker, BigQuery, Cloud Spanner, Cloud SQL, Cloud Storage
  • Recognize the ways customers can use Google Cloud’s AI and ML solutions to create business value
  • Differentiate between virtual machines, containers, and serverless computing within business use cases
  • Explain the benefits of Google Kubernetes Engine, Anthos, and App Engine for application development
  • Define fundamental cloud security terms, including privacy, availability, security, and control

Contenu du cours

13 sections102 sessions9 h 57 min de durée totale
  • Course Introduction4:35
  • PDF Content & other important instructions for the course0:55
  • What is Cloud Computing9:04
  • Evolution of Cloud Computing5:33
  • Creating an account of Google Cloud8:12
  • Different ways to interact with Google Cloud6:31
  • CapEx expenditure Vs OpEx expenditure7:33
  • Is Cloud Technology another paradigm shift ?6:46
  • What makes Cloud sooo good ?9:20
  • Quiz related to "Cloud Computing"

Prérequis

  • Zero Knowledge of Cloud Computing & Google Cloud Platform is expected
  • Journey to become a Google Cloud Certified Cloud Digital Leader is NOT going to be easy one. You need a lot of patience and dedication!

Description

'Google Cloud Digital Leader Certification - For GCP Beginner' course will help in preparing and making you ready for the Google Cloud Digital Leader Certification

The curriculum of the course is inspired from the official Cloud Digital Leader certification exam guide. Below are the important topics that this course covers,


  1. Define key terms such as cloud, cloud technology, data, and digital transformation

  2. Compare and contrast cloud technology and traditional or on-premises technology

  3. Explain the benefits of modernizing infrastructure with cloud technology

  4. Differentiate between hybrid and multicloud infrastructures

  5. Differentiate between virtual machines, containers, and serverless computing within business use cases

  6. Identify the Google Cloud solutions that help businesses modernize their infrastructure

  7. Explain the benefits of Google Kubernetes Engine, Anthos, and App Engine for application development

  8. Explain how application programming interfaces (APIs) can modernize legacy systems

  9. Explain the benefits of Apigee

  10. Recognize examples of structured and unstructured data

  11. Apply appropriate business use cases for databases, data warehouses, and data lakes

  12. Explain the benefits of Google Cloud data products, including: Looker, BigQuery, Cloud Spanner, Cloud SQL, Cloud Storage

  13. Define artificial intelligence (AI) and machine learning (ML)

  14. Recognize the ways customers can use Google Cloud’s AI and ML solutions to create business value

  15. Describe financial governance in the cloud and Google Cloud's recommended best practices for effective cloud cost management

  16. Identify today's top cybersecurity challenges and threats to data privacy

  17. Concepts of DevOps, site reliability engineering (SRE)

  18. Define monitoring, logging, and observability within the context of cloud operations

  19. Identify the Google Cloud resource monitoring and maintenance tools

À qui ce cours s'adresse-t-il ?

  • For anyone who wishes to demonstrate their knowledge of cloud computing basics and how Google Cloud products and services can be used to achieve an organization’s goals
  • Developers, QA, Managers, Architects, Business Analysts, Cloud enthusiasts