Introduction to GCP
Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.
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Course Description
Understanding the Google Cloud Platform
This initial section of the course introduces Google Cloud Platform (GCP), providing an in-depth look at its architecture, core components, and how these services interconnect. Students will learn about cloud data storage options, virtual machines, container orchestration, and serverless computing within the GCP ecosystem. This part lays the foundational knowledge necessary for understanding the full capabilities of GCP.
GCP's Data Handling and Compute Services
In the second part, the course focuses on GCP's robust data handling and analytics capabilities. Topics include an exploration of storage solutions like Cloud Spanner and BigQuery, and the business benefits these services offer. The course also covers compute services such as Kubernetes Engine and the integration of AI and ML technologies, highlighting how these features distinguish Google Cloud in practical business applications.
Modernizing Business with GCP
The final section discusses the transformational impact of GCP on modern businesses. It addresses the challenges of legacy infrastructures, the advantages of upgrading to GCP, and different cloud setups. The course also explores the motivations behind application modernization, the shift in expenditure and responsibilities in cloud models, and the process of selecting the appropriate cloud setup. It concludes with insights into how GCP facilitates digital and business transformation.
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Cloud basics and beyond
FreeThis chapter introduces Google Cloud Platform (GCP), highlighting its unique advantages and diverse servicesin storage, database, and compute. It explores GCP's architecture, core components, and service interconnectivity. The chapter also discusses cloud data storage, virtual machines, container orchestration, and serverless computing, emphasizing their applications in GCP.
Stepping onto the Google Cloud Platform (GCP)50 xpGoogle in the cloud50 xpThe value of GCP100 xpGCP's building blocks50 xpCore components of GCP50 xpBlock building100 xpCompute Engine versus App Engine100 xpThe GCP family50 xpThe capabilities of Bigtable50 xpContained benefits50 xpHosting web applications on GCP100 xp - 2
The GCP infrastructure
The chapter focuses on GCP's handling of data, highlighting storage solutions like Cloud Spanner and BigQuery. It explores business benefits of GCP data storage, analytics services, and integration strategies. It details GCP compute services like Kubernetes Engine and the application of AI and ML, emphasizing Google Cloud's unique strengths and practical business uses.
Data on GCP50 xpDecoding data-driven culture50 xpData types100 xpSmart analytics50 xpPower of the spanner50 xpAnalytics for social media100 xpThe goods of the warehouse100 xpGCP's compute services50 xpEssential GKE50 xpCompute options100 xpThe Anthos bridge50 xpAI and machine learning50 xpML with SQL50 xpTo train or not to train100 xp - 3
Modernizing businesses with GCP
This chapter discusses how to modernize a business with Google Cloud Platform (GCP). It addresses legacy infrastructure challenges, benefits of GCP upgrade, and distinctions between cloud setups. It explores motivations for application modernization and cloud-native applications. The effect of migration to cloud is also discussed, including expenditure shifts, responsibilities in cloud models, and selecting appropriate cloud setups . It concludes with GCP's role in facilitating digital and business transformations.
Why modernize?50 xpDrivers of transformation50 xpThe cloud strategy100 xpApps on GCP50 xpThe modern app50 xpCloud retail100 xpBusiness in the cloud50 xpFinancial advice50 xpEntrepreneurship on the cloud100 xpThe GCP transformation50 xpOperational benefits50 xpChatbot development50 xpQuick change100 xpCongratulations!50 xp
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prerequisites
Understanding Cloud ComputingNabeel Imam
See MoreData Scientist
Nabeel is a Senior Data Scientist with a background in biostatistics and genomics. As a self-taught programmer, he is passionate about making complex programming concepts accessible in an intuitive manner.
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