@vintcessun: Found an AI introductory course, 12 weeks 24 lessons, covering from symbolism to neural networks, CNN, RNN, GAN, and even genetic algorithms and multi-agent systems. I used to think AI was too vast and didn't know where to start, but this course strings the entire knowledge tree together as "Understand - Hands-on - Ethics", with each l...
Summary
Shared an AI introductory course of 12 weeks and 24 lessons, covering from symbolism to neural networks, CNN, RNN, GAN, genetic algorithms, and multi-agent systems, with PyTorch and TensorFlow dual-version notebooks, suitable for systematic learning of AI knowledge.
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@Russell3402: A friend wanted to learn AI engineering, but I couldn't come up with a good learning path for a while. Here I recommend an open-source AI engineering learning curriculum! It aims to take you from the ground up, covering the complete AI engineering stack: from math, machine learning, deep learning, Transformers, LLMs, Agents, MCP, multi-agent…
Recommends an open-source AI engineering learning course, containing 20 stages and 503 lessons, covering from math fundamentals to production deployment, including Python and other languages, aiming to build a complete AI engineering system from scratch.
@wsl8297: Want to systematically learn AI Engineering without jumping between papers, tutorials, and repos? Check out rohitg00/ai-engineering-from-scratch. This course has 10k+ stars, 435 lessons, 20 stages, covering from math foundations, neural networks...
Recommends an open-source GitHub repo called ai-engineering-from-scratch, containing 435 lessons across 20 stages, systematically covering a complete learning path for AI engineering from math foundations to Agents.
@1YES_yes1: Today I found an incredible free resource - a set of AI courses released by Stanford University. In just 1.5 hours, it thoroughly dissects how Claude and ChatGPT work behind the scenes. Many people use AI every day: writing content, doing research, running workflows...
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@QingQ77: A full-stack AI engineering learning path from zero to mastery, 503 lessons covering from math basics to autonomous agent clusters, fully translated into Chinese with a dedicated website.
A full-stack AI engineering learning path from zero to mastery, containing 503 lessons covering from math basics to autonomous agent clusters, with full Chinese translation and a dedicated website.
microsoft/AI-For-Beginners
Microsoft's AI for Beginners is a 12-week, 24-lesson open-source curriculum covering AI fundamentals, TensorFlow, PyTorch, and ethics, with multi-language support.