choose it for a project-based engineering path in Python instead of the 12-week lesson-slide format; actively maintained.
Learn it. Build it. Ship it for others.
- 54.5k
- Python
- MIT
AI education / curriculum
A 12-week, 24-lesson beginner curriculum for artificial intelligence, with lessons, quizzes, and labs, covering TensorFlow, PyTorch, and AI ethics.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
choose it for a project-based engineering path in Python instead of the 12-week lesson-slide format; actively maintained.
Learn it. Build it. Ship it for others.
choose it for a self-directed daily study plan with external links, aimed at software engineers.
A complete daily plan for studying to become a machine learning engineer.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
choose it for an in-depth, video-based PyTorch deep learning course rather than a broad AI survey.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
choose it for a rigorous, university-style deep learning textbook with executable code, narrower than an AI survey.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
choose it for a top-down fastai library approach to deep learning, with a complete book and notebooks.
The fastai book, published as Jupyter Notebooks
These projects were analysed and named AI-For-Beginners among their alternatives. The relationship is not symmetric — how AI-For-Beginners rates them is a separate judgement, made when AI-For-Beginners is analysed in its own right.
calls AI-For-Beginners “For a complete beginner-level AI curriculum with lessons and labs.”
A resource for learning about Machine learning & Deep Learning
calls AI-For-Beginners “Use when you want a broader AI-for-Beginners course that also covers classical ML topics.”
21 Lessons, Get Started Building with Generative AI
calls AI-For-Beginners “Choose for a broad 12-week beginner AI course covering classical ML and deep learning, if you are a true beginner wanting a guided curriculum.”
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
calls AI-For-Beginners “Use the structured 12-week AI course if you want a guided beginner curriculum instead of a reference wiki.”
程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程,分享 OpenClaw 保姆级教程、大模型玩法(DeepSeek / GPT / Gemini / Claude / GLM)、最新 AI 资讯、Prompt 提示词大全、AI 知识百科(Agent Skills / RAG / MCP / A2A)、AI 编程教程(Harness Engineering)、AI 工具用法(Cursor / Claude Code / TRAE / Codex / Copilot)、AI 开发框架教程(Spring AI / LangChain)、AI 产品变现指南,帮你快速掌握 AI 技术,走在时代前沿。本项目为开源文档 aiguide,已升级为鱼皮 AI 导航网站
calls AI-For-Beginners “A comprehensive AI curriculum with lessons, a more structured course approach than the seed's reference guide.”
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
calls AI-For-Beginners “Choose when you want a broader beginner AI curriculum with 12 weeks of lessons rather than MIT's deep-learning-intensive labs.”
Lab Materials for MIT 6.S191: Introduction to Deep Learning
calls AI-For-Beginners “When you want a lesson-based curriculum with quizzes and assignments using multiple ML libraries, rather than the seed's open PyTorch notebooks.”
AI实战-practicalAI 中文版
calls AI-For-Beginners “Choose if you need a beginner-paced, broader AI curriculum with Microsoft-maintained lessons and labs.”
Machine Learning Course, Sharif University of Technology
calls AI-For-Beginners “choose for a quick, gentle 24-lesson intro to AI, not the full depth.”
Learn it. Build it. Ship it for others.