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lynnlangit

learning-cloud

Courses, sample code, articles & screencasts - AWS, Azure, & GCP.

TutorialsTool-specific tutorialsJupyter Notebook
Open on GitHub
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699
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237
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1
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Created 2020-07-25 · Updated 2026-09-30 · #14843 today
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lynnlangit

lynnlangit/learning-cloud is ranked 14,843 with 699 stars.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguageJupyter Notebook
CategoryTutorials
SubcategoryTool-specific tutorials
Stars699
Forks237
Contributors1
Created date2020-07-25
Updated date2026-09-30
Stars in 1 day0
Stars in 7 days0
Rank14,843
Previous rank14,684
Rank change-159
7-day stars rank14,679
Previous 7-day stars rank14,692
7-day stars rank change13
Total stars rank14,907
Previous total stars rank14,879
Total stars rank change-28
README summary

Learning Cloud What's in this Repo This Repo contains links to **100+ resources** I've created for you to learn to work on AI in the public cloud. Links, examples, short explanations and architectures are included for AWS, Azure, or GCP & more. Content List I have published more than 30 courses on AI, Cloud and Data topics on LinkedIn Learning - here Most Viewed AI Courses & Topics Course: **'Google Gemini v 2. ) - link All Cloud Screencasts, Sample Data and Slide Decks 🗣️ my

**screencasts/talks** on YouTube (50+) - cloud topics and more - link 🗄️ my **sample data** in GitHub repo (10+) kinds of sample data - link 🗣️ my **slide decks** on Slides.

Frequently asked questions

How many stars and forks are recorded?

lynnlangit/learning-cloud has 699 stars and 237 forks.

What is the repository rank?

lynnlangit/learning-cloud is ranked 14,843.

What language and category are recorded?

lynnlangit/learning-cloud has 699 stars, uses Jupyter Notebook and belongs to Tutorials.

Which repository is closest in rank?

lynnlangit/learning-cloud is compared with qiwihui/reinforcement-learning-an-introduction-chinese, ranked 14,846 with 699 stars.

README

Learning Cloud

What's in this Repo

This Repo contains links to 100+ resources I've created for you to learn to work on AI in the public cloud.
Links, examples, short explanations and architectures are included for AWS, Azure, or GCP & more.

Content List

I have published more than 30 courses on AI, Cloud and Data topics on LinkedIn Learning - here

Most Viewed

AI Courses & Topics

GCP Topics

  • 🧬 📺 :octocat: GCP-for-Bioinformatics FREE course on GitHub
  • 📺 :octocat: Serverless Architecture course - link & repo
  • 📺 :octocat: GCP Essentials and GCP Enterprise courses on LI_L - see repo for updates - link
  • 📺 :octocat: GCP Tools course on LI_L & associated repo examples in tools folder at link
  • 📺 :octocat: GCP Cost Control course on LI_L, see repo link too

Data, Machine Learning and More

ALL CONTENT: 100+ Cloud Courses, Articles

All Cloud Content

All Cloud Courses

  • 📚 my cloud courses on LinkedIn Learning (30) - link
  • :octocat: my example code in Github repos (10+) - link
  • 📖 my system visualization tools, talks and examples (list) - link
  • 🧬 :octocat: my course on bioinformatics for cloud on GitHub (TeamTeri) - link

Cloud Architectures, Patterns and Articles

  • :octocat: My CLOUD-PATTERNS section to share best practice patterns and tools for cloud workloads - link
  • 📺 :octocat: My Serverless Architecture companion repo to my course on LI_L - link
  • 📚 Lynn Langit's Cloud World on Substack
  • 📖 my technical articles on Medium (40) - cloud topics - link
  • 📖 my micro-blogging on Dev.to (many...) - link

All Cloud Screencasts, Sample Data and Slide Decks

  • 🗣️ my screencasts/talks on YouTube (50+) - cloud topics and more - link
  • 🗄️ my sample data in GitHub repo (10+) kinds of sample data - link
  • 🗣️ my slide decks on Slides.com (many...) - link

TL;DR: "How do I get started in cloud?"

If you are completely new to cloud, you might want to go here first --> link
Also see my ⭐⭐⭐ - FAQ course - Insights on Cloud Computing ⭐⭐⭐

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