Course Intro

A hands-on AI-agent programming course for absolute beginners. Its core is running the efficient 'you describe, AI codes' workflow—no rote grammar, no thick textbooks—as you turn ideas step by step into running tools and live websites.

Starting from AI-coding basics, it sets up Python, walks through installing and using Trae, and builds a bookkeeping mini-app and batch-rename tool—teaching you to brief AI precisely so it builds what you want.

The advanced stage systematically covers Claude Code install/setup and CLI basics, starting with an image-watermarking tool and building up to frontend/backend, database and server concepts. Then, starting from a VM, it sets up Ubuntu Linux, builds a company portal from scratch—adjusting details and fixing bugs along the way—and finishes with deployment config, pushing your source code to a server and going live.

Fully project-driven, from desktop tools to live web, every step has reproducible demos—even if you've never written a line of code, you can complete the full AI-development loop.

Key Highlights

\
• Absolute-beginner friendly—skip dry grammar, go straight to AI-collaborative dev
\
• Two major AI coding tools: Trae and Claude Code, end-to-end
\
• Full chain: local coding, Linux setup, server deployment
\
• Real projects: bookkeeping, batch rename, watermark tool, company portal
\
• Hands-on environment setup—beginners won't get stuck on 'can't install'
\

Who It's For

\
1. Total beginners wanting AI-built practical tools fast
\
2. Office workers wanting automation tools without complex syntax
\
3. Enthusiasts starting web dev, using AI to speed 0-to-launch
\
4. Practitioners wanting agent workflows to speed daily dev
\

What You'll Learn

\
• Set up Python; master Trae and Claude Code
\
• Brief AI precisely so it implements your ideas
\
• Independently build desktop tools: bookkeeping, batch rename, watermark
\
• Grasp frontend/backend, DB, server basics; set up Linux
\
• Run a web project from dev, debug and bug-fix to live deployment
\

Its value is swapping 'learn programming' for 'deliver projects with AI.' You don't spend months on grammar; from day one you work on real needs: first AI writes a running mini-app, then you understand code structure and runtime, finally upgrading a local tool to a live website on a server. For efficiency-focused people without coding backgrounds, it's a time-saving path—and builds the briefing, debugging and verification habits that make later languages/frameworks easier.

\
• 1.AI Coding Intro
\
• 2.AI Coding Tools & Publishing Methods
\
• 3.Install the Python Dev Environment
\
• 4.AI Tool—Trae Install & Use
\

\
• 5.Build a Bookkeeping App with Trae
\
• 6.How AI Implements Requirements Precisely—Batch Rename Tool
\

\
• 7.Desktop Programs & Coding Software Intro
\
• 8.Install Coding Helper Software
\
• 9.Web Frontend/Backend, Database & Server Intro
\

\
• 10.Claude Code Install & Setup
\
• 11.Claude Code CLI Intro
\
• 12.First Claude Code—Image Watermark Program
\
• 13.Basic Web Concepts
\

\
• 14.Linux Intro & VMware Install
\
• 15.Install Windows 10
\
• 16.Install Ubuntu in VMware
\
• 17.Common Ubuntu Commands
\
• 18.Steps to Build a Website
\

\
• 19.Build a Company Portal with Claude Code
\
• 20.Portal Dev—Adjust & Fix Bugs
\
• 21.Install the Deployment Environment on Ubuntu
\
• 22.Upload Source & Deploy to the Server
\
• 23.Steps to Go Live
\

💡 Study tip: This tutorial reflects industry practices at the time of release; please align it with the latest platform rules while learning.