Cloud Out Loud - Multi-Cloud with AI/ML and Big Data
1 month ago
IT & Software
[100% OFF] Cloud Out Loud - Multi-Cloud with AI/ML and Big Data

AWS, Azure and GCP - Including AI/ML and Big Data - To Professional Architect Level

4.8
518 students
26h total length
English
$0$44.99
100% OFF

Course 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 Architecture

  • General principles of designing Cloud systems, such as de-coupling, redundancy, load balancing etc.

  • Learn about the types of Cloud systems including public, private and hybrid

  • Learn what types of services are provided in the cloud - IAAS, PAAS, SAAS, CAAS, FAAS and more.

  • Learn AWS from 101 to Solution Architect Professional level

  • Learn Google Cloud from 101 to Google Cloud Professional Architect level

  • Learn many aspects of Azure Cloud and how it compares to AWS and Google Cloud

  • Reference architectures for many application types in AWS, Azure and GCP and how to determine the best components in those architectures to meet your requirements

  • Compare components in the different clouds:

    • Database options in AWS vs Azure vs GCP

    • File storage and data lake options in the three clouds compared

    • Network components compared across all three clouds

    • Security issues in the three main clouds (including Zero trust principles)

    • Identity and Access Management, Authentication, Authorization and MFA

  • Big data - how to implement it in the different clouds

    • Data lakes

    • Data pipelines/ETL

    • Data warehousing

  • IOT systems in the different clouds

  • Compliance/Governance issues and how to use Cloud components to make Compliance easy

  • Explore Hybrid/Multi-cloud architecture issues and migrations

  • Learn all about DevOps, CI/CD and DevSecOps - what it is and why you need it for Cloud systems

  • How to get certified in AWS, Google Cloud and Azure

  • Learn about monitoring, testing and security in all three clouds

  • Learn deployment strategies and which meet your needs best

  • Learn principles of testing and how to build testing into your CI/CD pipeline effectively

  • Plus many Tools, tricks, ebooks, links and other sources of information about the cloud

How to determine requirements of your Cloud Architecture

General principles of designing Cloud systems, such as de-coupling, redundancy, load balancing etc.

Learn about the types of Cloud systems including public, private and hybrid

Learn what types of services are provided in the cloud - IAAS, PAAS, SAAS, CAAS, FAAS and more.

Learn AWS from 101 to Solution Architect Professional level

Learn Google Cloud from 101 to Google Cloud Professional Architect level

Learn many aspects of Azure Cloud and how it compares to AWS and Google Cloud

Reference architectures for many application types in AWS, Azure and GCP and how to determine the best components in those architectures to meet your requirements

Compare components in the different clouds:

  • Database options in AWS vs Azure vs GCP

  • File storage and data lake options in the three clouds compared

  • Network components compared across all three clouds

  • Security issues in the three main clouds (including Zero trust principles)

  • Identity and Access Management, Authentication, Authorization and MFA

Database options in AWS vs Azure vs GCP

File storage and data lake options in the three clouds compared

Network components compared across all three clouds

Security issues in the three main clouds (including Zero trust principles)

Identity and Access Management, Authentication, Authorization and MFA

Big data - how to implement it in the different clouds

  • Data lakes

  • Data pipelines/ETL

  • Data warehousing

Data lakes

Data pipelines/ETL

Data warehousing

IOT systems in the different clouds

Compliance/Governance issues and how to use Cloud components to make Compliance easy

Explore Hybrid/Multi-cloud architecture issues and migrations

Learn all about DevOps, CI/CD and DevSecOps - what it is and why you need it for Cloud systems

How to get certified in AWS, Google Cloud and Azure

Learn about monitoring, testing and security in all three clouds

Learn deployment strategies and which meet your needs best

Learn principles of testing and how to build testing into your CI/CD pipeline effectively

Plus many Tools, tricks, ebooks, links and other sources of information about the cloud

PLEASE NOTE that I am now employed by Google Cloud!  This content was created before I became employed by Google Cloud but I have to make sure you know I am employed by Google Cloud at this point so that you are aware, as it is company policy.

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