Many people can replicate code by following tutorials, yet find themselves at a loss when independently developing a project. After building the features, they get stuck at deployment, payment, and operational monetization, and their abundant ideas ultimately stop at a local Demo. This 8-week bootcamp directly addresses the pain points of AI developers, with 8 industry mentors deeply experienced in development and commercialization accompanying you throughout, closing the last mile of project implementation.

The course is divided into three major practical modules. First, systematic courses solidify foundational skills in development environments, databases, and web services. Then, 6 hands-on projects such as mini-games, voice assistants, and data analysis tools hone your practical skills. Finally, you delve into two heavyweight mainline products, building an AI coding platform and an enterprise-level knowledge management system from scratch, completing the entire process of requirements design → front-end and back-end development → RAG vector database integration → cloud deployment → payment integration and commercial closed loop, with an extra bonus of a WeChat official account AI content automation workflow.

The course is aimed at developers with AI coding fundamentals who want to launch products for monetization, entrepreneurial product builders, and workplace technical professionals. There is no paper assignment for graduation. The graduation criteria are a publicly accessible launched product, a connected payment channel, and a completed product roadshow, producing a real commercial project that can be written into your resume, truly achieving the leap from knowing how to write code to selling AI products for profit.

Through the systematic training of this course, you will gain complete project experience from requirements breakdown to product launch, and master core skills such as AI coding environment configuration, database design, front-end and back-end development, RAG retrieval-augmented generation, cloud deployment, and payment integration. More importantly, the 6 hands-on projects and 2 mainline products provided by the course all come from real commercial scenarios, which can help you gradually build your own portfolio during the learning process and accumulate demonstrable practical results for subsequent order-taking or entrepreneurship. For workplace professionals hoping to quickly transition to AI product development, this results-oriented bootcamp is a highly cost-effective acceleration channel.

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• 1.环境工具总览
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• 2.Introduction to Git: Download, Installation, and Configuration
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• 3.Introduction to Nodejs: Download, Installation, and Configuration
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• 4.Introduction to VSCode: Download and Installation
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• 5.GLM4.7 Chief AI Engineer
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• 6.cc-switch: The Lightweight Model Switching Tool
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• 7.Introduction to ClaudeCode: Installation and Configuration
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• 8.Chrome Browser Introduction and Installation
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• 9.Building Object-Oriented Programs and Automation Tools with AI
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• 10.Connecting Databases and API Services with AI
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• 11.Building an MVP (Minimum Viable Product)
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• 12.Introduction to the Web Development Trio
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• 13.Building Static Web Page Structure
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• 14.Migrating Static Web Pages into the Project Framework
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• 15.Introduction to Database and Cloud Storage Features
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• 16.Supabase Introduction, Account Registration, and Environment Setup
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• 17.Supabase Data Table Design
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• 18.Building the Admin Management System
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• 19.Introduction and Configuration of the chrome-devtools-mcp Tool
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• 20.Building a Dynamic Frontend Game Library
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• 21.Completing the Frontend Game Play Page Features
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• 22.Implementing Admin Backend Login
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• 23.Introduction to Vercel and Account Registration
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• 24.Deploying the Project on Vercel
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• 25.Domain Purchase and DNS Resolution – Solving Inaccessibility in China
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• 26.Course Introduction and Project Goals
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• 27.Development Environment Setup: Git, Node.js, and VSCode
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• 28.Development Environment Setup: Claude Code Installation and Configuration
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• 29.Development Environment Setup: API Key Configuration and Chrome Installation
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• 30.Basic Implementation of Core Features
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• 31.Packaging Project Code as an exe Executable
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• 32.Summary of Claude Programming Techniques
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• 33.Feishu Integration with Multi-Dimensional Table Configuration and Development
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• 34.Context Management and Feishu Graphical Configuration
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• 35.Installer Packaging and Release Testing
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• 36.Feature Enhancement: LLM Voice Result Correction
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• 37.LLM Error Correction and Model Selection Configuration
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• 38.Sensitive Information Protection and Project Directory Organization
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• 39.SF Express Logistics Data Analysis
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• 40.Office Supplies Procurement System
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• 41.Obsidian Daily Report Generator
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• 42.One-Stop Local Drawing Workflow
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• 43.Needs Analysis and Business Positioning
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• 44.Database Design
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• 45.Backend Development
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• 46.Frontend Development
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• 47.AI Integration & Deployment
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• 48.Monetization Loop
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• 49.Building the Content Collection Module
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• 50.Vector Database and Retrieval
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• 51.Developing Knowledge Base-Powered Intelligent Q&A
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• 52.Agent Workflow Automation
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• 53.Product Packaging and Deployment
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• 54.Bonus Case Study – Choosing the Right Dollar-Cost Averaging Fund for You
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💡 Learning Tip:Content reflects industry practices at time of publication. Please refer to the latest platform rules when learning.