A curated list for DevOps learning resources. Join the slack channel to discuss more.

DevOps Tutorials

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

compilation of jupyter notebooks containing coding practices

Functions' cat bag for Machine Learning projects

Deploy your Deep learning container algorithms on Amazon Sagemaker. I have deployed Tensorflow based container trained on the famous titanic dataset.

Workshop content for Getting Started with Amazon SageMaker

Recommendation Systems With TensorFlow Recommenders and AWS SageMaker

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Tensorflow Recommenders with Example on Retail Data

Product Recommendation Using XGBoost

A _simple_ starter template for Snowflake Cloud Data Platform

Curated List of MuleSoft

Curated List of MuleSoft

C++ Client Libraries for Google Cloud Services

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

Data Structures and Algorithms Coursera Specialization from UC San Diego and HSE

Big Data for Data Engineers Coursera Specialization from Yandex

Study Notes for the Google Cloud Architect Certification.

The Data Engineering Cookbook

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Implementation of Algorithms and Data Structures, Problems and Solutions

Some Jupyter notebooks on quantum mechanics

IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)

Python and R Examples

General Assembly's 2015 Data Science course in Washington, DC

machine learning/artificial intelligence notes

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.