Everything Under the Cloud – AI,ML,certs,data, infra,etc.

Now updated with info about:

• Gemini Enterprise,

• GEAP (Gemini Enterprise AI Platform – used to be Vertex AI),

• Agent Gateway,

• Gemini Argon 4,

• AIStudio,

• Antigravity,

• Claude Fable,

• Azure Fabric AI,

• OpenClaw, OpenShell etc.

Pass AI Certs like:

• Google Generative AI Leader (GAIL)

• Google Agentic Architect

• Google Machine Learning Engineer

• Google Professional Architect

• AWS Certified Solutions Architect – Professional

• AWS Security Specialty

• AWS Data Analytics Specialty

• Azure (Fabric|Databricks) Data Engineer

• Azure Administrator

• Azure Solutions Architect Expert and DevOps Engineer Expert * most content is here

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/AI 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.

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