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FDE(前沿部署工程师)从零入门指南(基于范冰《增长黑客》原书框架)
Research into AI engineering interview assignments, take-home challenges, and hiring practices from 2026
better agentic engineering
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Repo for the Complete Agentic AI Engineering Course
This repository will contain all of the resources for the Mage component of the Data Engineering Zoomcamp: https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
LinkedIn Learning course covering Python Unit Test with Pytest, Docker, and TDD principles
Automating AWS with Lambda, Python, and Boto3
Contains notebooks used in the Microsoft Azure Databricks Learning Paths modules.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Efficient Python Tricks and Tools for Data Scientists
🤖⚡ 50 scikit-learn tips
Techniques for deep learning with satellite & aerial imagery
A quick reminder of all SQL queries and examples on how to use them.
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Sequel to our infamous Your Path to AI Series. We are introducing this new advanced level series for audience interested to specialise in Deep Learning. This repository holds all the resources for …
Data visualization is the visual presentation of data or information. The goal of data visualization is to communicate data or information clearly and effectively to readers. Typically, data is vis…
Learn how to develop, deploy and iterate on production-grade ML applications.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

