Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
9 Hour(s) 57 Minute(s)
Language
English
Taught by
Eazy Bytes, Madan Reddy
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Cloud Computing basics with Google Cloud, Become Certified Cloud Digital Leader, Build as per official new syllabus
'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,
Define key terms such as cloud, cloud technology, data, and digital transformation
Compare and contrast cloud technology and traditional or on-premises technology
Explain the benefits of modernizing infrastructure with cloud technology
Differentiate between hybrid and multicloud infrastructures
Differentiate between virtual machines, containers, and serverless computing within business use cases
Identify the Google Cloud solutions that help businesses modernize their infrastructure
Explain the benefits of Google Kubernetes Engine, Anthos, and App Engine for application development
Explain how application programming interfaces (APIs) can modernize legacy systems
Explain the benefits of Apigee
Recognize examples of structured and unstructured data
Apply appropriate business use cases for databases, data warehouses, and data lakes
Explain the benefits of Google Cloud data products, including: Looker, BigQuery, Cloud Spanner, Cloud SQL, Cloud Storage
Define artificial intelligence (AI) and machine learning (ML)
Recognize the ways customers can use Google Cloud’s AI and ML solutions to create business value
Describe financial governance in the cloud and Google Cloud's recommended best practices for effective cloud cost management
Identify today's top cybersecurity challenges and threats to data privacy
Concepts of DevOps, site reliability engineering (SRE)
Define monitoring, logging, and observability within the context of cloud operations
Identify the Google Cloud resource monitoring and maintenance tools
Course Content
- 13 section(s)
- 102 lecture(s)
- Section 1 Welcome to the world of Cloud
- Section 2 Why Consider Google Cloud as a Cloud Provider
- Section 3 Cloud Computing Delivery models
- Section 4 Cloud Computing Service models
- Section 5 Introduction to Infrastructure and application modernization
- Section 6 Application modernization using Google Cloud
- Section 7 Innovating with data and Google Cloud
- Section 8 Google Cloud’s solutions for machine learning and AI
- Section 9 Financial Governance in the Cloud
- Section 10 Cloud security approach and Google Cloud security benefits
- Section 11 IT operations in Cloud
- Section 12 Next Steps & Certification guidance
- Section 13 Thank You & Congratulations
What You’ll Learn
- 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
Skills covered in this course
Reviews
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PPrakash Namde
Thank you for designing this course from us
-
WWai Wong
Great course
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JJuan José Sánchez Molina
Buen curso.
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LLuis Alberto Zarate Estacio
Muy buen contenido, las explicaciones con el nivel de detalle necesario
