Cloud Out Loud - Multi-Cloud with AI/ML and Big Data

Partner: Udemy
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Description: Featuring:-  The three main clouds to Professional Architect level - AWS, Azure and Google Cloud-   AI and ML in the cloud (and why Big Data/Data Analytics is so important for AI and ML)-  Cloud decision tree for AWS and for Azure!  Perfect for beginners - or those who know one cloud and wish to become multi-cloud experts!  Learn about:How to determine requirements of your Cloud ArchitectureGeneral principles of designing Cloud systems, such as de-coupling, redundancy, load balancing etc.Learn about the types of Cloud systems including public, private and hybridLearn what types of services are provided in the cloud - IAAS, PAAS, SAAS, CAAS, FAAS and more.Learn AWS from 101 to Solution Architect Professional levelLearn Google Cloud from 101 to Google Cloud Professional Architect levelLearn many aspects of Azure Cloud and how it compares to AWS and Google CloudReference architectures for many application types in AWS, Azure and GCP and how to determine the best components in those architectures to meet your requirementsCompare components in the different clouds:Database options in AWS vs Azure vs GCPFile storage and data lake options in the three clouds comparedNetwork components compared across all three cloudsSecurity issues in the three main clouds (including Zero trust principles)Identity and Access Management, Authentication, Authorization and MFABig data - how to implement it in the different clouds Data lakesData pipelines/ETLData warehousingIOT systems in the different cloudsCompliance/Governance issues and how to
Category: IT & Software > Other IT & Software > Cloud Computing
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Price: 39.99
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Source: Impact
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