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

File Name:	Cloud Out Loud – Multi-Cloud with AI/ML and Big Data
Content Source:	https://www.udemy.com/course/cloud-out-loud
Genre / Category:	Other Tutorials
File Size :	22.6 GB
Publisher:	Michelle Sollicito
Updated and Published:	July 22, 2025

Product Details

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:

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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.