lynnlangit/learning-cloud

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

57
/ 100
Established

This collection provides over 100 resources, including courses, code examples, articles, and screencasts, to help you learn about applying AI in public cloud environments like AWS, Azure, and GCP. It offers structured learning paths and practical examples for various cloud services and AI topics. This is for cloud architects, data scientists, and developers looking to build and deploy AI solutions on major cloud platforms.

679 stars.

Use this if you need a curated collection of learning materials and practical examples to understand and implement AI and data solutions on public cloud platforms.

Not ideal if you are looking for a single, comprehensive textbook or a highly theoretical academic resource.

cloud-architecture AI-engineering data-platform-development cloud-skills-training MLOps
No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

How are scores calculated?

Stars

679

Forks

237

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Dec 26, 2025

Commits (30d)

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