鱼皮 AI 导航 & 教程

★ 18kGetting Started

#guide#chinese#resources

Overview

A free AI knowledge base curated by programmer Yupi (18k+ stars), built around a zero-to-one 'Vibe Coding for Complete Beginners' course: thousands of images and hundreds of thousands of words aimed at 'getting even total beginners to ship a product and make money'. Beyond the course it's also an AI directory, aggregating prompt collections, tool reviews, hands-on projects and monetization guides — all free and open source.

Who it's for

Total beginners who want to build and monetize with AI, plus developers looking to systematically fill in AI coding knowledge and tool selection.

What you'll learn

01Structure: course / tools / practice / monetization in one track
The course is organized into seven blocks: fundamentals (make your first work in 10 minutes), programming tools (model selection, no-code platforms, agent platforms, editors, CLI tools, IDE plugins), project practice (personal tools, AI apps, full-stack apps, mini-programs), experience & skills (mindset, conversation engineering, context management, hallucination handling), product monetization (requirements analysis, profit models, SEO, social media operations), programming learning (learning paths, encyclopedia, MCP development), and a resource library (tool collections, prompt templates, FAQs).
02A learning path for complete beginners
The README lays out a clear rhythm: on day 1 finish the fundamentals and build your first work; during weeks 1-2 learn AI programming tools and make a few simple projects; afterwards learn experience tips and monetization as needed. It keeps insisting you can build a first work '10 minutes after opening the course', using quick wins to onboard people.
03A learning path for those with a programming background
If you already code, quickly go through the fundamentals on day 1 and finish the quick-start tutorial; in week 1 learn mainstream AI programming tools and try refactoring an old project; afterwards focus on improving conversation and context-management skills and move toward more complex engineering practices. This branching lets both kinds of readers find their own pace.
04Companion video course and the wider AI knowledge base
Besides the written course, there's a companion Bilibili video course 'AI Programming Practice for Absolute Beginners' that takes you through a complete project from zero. The repo also hosts directories on the AI guide, DeepSeek, AI use cases and industry news — a resource hub for keeping up with AI developments, ideal for long-term subscription-style use.

Practice tips

Follow the README path: on day 1 do just one thing — finish the fundamentals and build a first work for quick positive feedback.
Don't chase every tool at once — master one or two mainstream AI coding tools (e.g. Cursor / Claude Code), then practice by refactoring an old project.
If you have an idea, walk it through the 'project practice → monetization' chapters into a small shippable product, focusing on the requirements-analysis and business-model material.
Treat the repo as a living resource hub: check the news section regularly and search the existing collections whenever you face tool choices or need a prompt.