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Cloud Out Loud - Multi-Cloud with AI/ML and Big Data
Rating: 4.8 out of 5(26 ratings)
596 students

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
Created byMichelle Sollicito
Last updated 7/2025
English

What you'll learn

  • AWS 101 to Architect Level
  • Google Cloud 101 to Architect Level
  • Azure 101 to Architect Level
  • Multi Cloud
  • Comparing the Clouds - AWS, Azure and GCP compared
  • Docker, Kubernetes and More
  • Useful Software/IT tools, guides, ebooks and information
  • Amazon AWS
  • Cloud Computing
  • Data Analytics, Big Data and AI/ML

Course content

12 sections • 55 lectures • 26h 9m total length

  • Introduction to Cloud Out Loud1:04:48

    Introduction to the course and to Michelle Sollicito.

    Michelle Sollicito has 35+ years experience in the Software industry and is an AWS Solution Architect Professional as well as being certified in AWS Security specialty and AWS Data analytics specialty.  She is also a Google Certified Professional Architect.  She has a number of years experience in Microsoft technologies including 2 years in Azure Cloud, and is certified in Azure, C#, .Net and SQL Server 2014.  She is also certified in many other technologies.

    Michelle is a big proponent of Diversity Equity and Inclusion, hence the rainbow on the logo.  Michelle has a meetup group for Out Loud Cloud proponents to learn all about the cloud and a meetup group called WITCHES allowing women to learn all about the Cloud.  See resources.


  • Introduction to Cloud Architectures51:25

    This lecture takes you through some of the resources in lecture 4 - please make sure you see ALL the resources in ALL the lectures - as I think some of the best content is in the Resources!

  • Cloud architectures - principles41:03

    Cloud Architectures in  a little more depth - mostly Google Cloud but covers others also

  • Introduction to Cloud Architectures - Resources0:19

    This section has a number of resources that are useful to those looking at Cloud architectures or multi-cloud architectures.

  • Quiz 1: Architectures

Requirements

  • Updated 12/21/2023! Now with ML and AI content! Big Data for AI and ML content!
  • Anyone is welcome to learn!
  • Ideal for those who work in IT or Software who want to learn the cloud. Anyone can take the course but those with no IT/Software background may struggle

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

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.

Who this course is for:

  • Anyone who wants to learn all about the Cloud. All three clouds Amazon AWS, Google Cloud, Azure
  • From beginner to Solution Architect Professional in all three main cloud computing environments

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