AI Programming Practicum: Launch an AI Product in Days
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📅 Published:
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2026-05-13
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📚 Course Type:
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AI Programming in Practice
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👥 Target Audience:
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Technical professionals hoping to transition into AI development, entrepreneurs with zero foundation who want to quickly launch AI products
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This is a goal-oriented, cutting-edge AI programming practicum designed to help you master the core ability to build AI products from scratch in an extremely short time. The course abandons tedious theoretical stacking and focuses directly on the most mainstream AI development tool stack today, including Claude Code, Cursor, Vercel AI SDK, and more. Through a large number of practical cases, you will quickly get started and understand the complete process of AI application development. Whether you want to build an agent, a web scraper, or a production-grade LLM application, this course can provide you with a clear path and directly reusable code templates.
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Another major highlight of the course is its systematicness and depth. It not only teaches you how to use tools, but also covers the full lifecycle from product planning, PRD document writing, UI design, front-end and back-end development, to deployment and launch. Through modules such as "Vibe Programming Workflow" and "Building Full-Stack Web Applications," you will learn how to efficiently turn an idea into a runnable product. In addition, the course also includes advanced content such as fine-tuning LLMs, the MCP protocol, and mobile model deployment, helping you deepen your understanding of the underlying AI technology and truly gain the potential to become a top 1% AI builder. All videos are equipped with Chinese and English bilingual subtitles, lowering the learning threshold.
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[Development Environment and Tool Fundamentals]
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- 1.My Claude Code Workflow
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- 2.Setting Up the Claude Code Environment
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- 3.Subagents
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- 4.Vercel AI SDK - Building Agentic Applications
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- 5.How to Stream Tool Responses with Vercel AI SDK
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- 6.Building Authentication
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- 7.Connecting the Backend (In Progress)
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- 8.Introduction to LearnTube: Turning YouTube Tutorials into Actionable Plans
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- 9.Product Planning and Documentation with NotebookLM and ChatGPT O3
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- 10.V0 UI Design: From Idea to Interface
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- 11.Implementing Code with Claude Code and Cursor
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- 12.Deploying with Vercel and Render
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Core Technical Applications
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- 13.How Playwright Works
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- 14.How to Handle Login
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- 15.Extracting Data with CSS/XPath Selectors
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- 16.Extracting Data with LLMs
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- 17.How to Configure Properly to Avoid Anti-Bot Mechanisms
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- 18.MCP Marketplace and Installation
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- 19.How to Test MCP in Inspector and Claude
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- 20.Recommended MCPs
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- 21.Playwright MCP
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- 22.Building Your Own MCP with fastMCP
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- 23.Building Your Own MCP with Cloudflare
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- 24.How to Build an Authentication System for MCP
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- 25.How to Integrate Stripe Payments for MCP
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- 26.Fine-Tuning LLM Overview
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- 27.Preparing Training Data
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- 28.Fine-Tuning OpenAI Models
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- 29.How to Deploy a Fine-Tuned LLM (Introduction and Modal Deployment)
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Production-Grade Application Building
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- 30.OpenAI Structured Outputs 101 with Examples (Web Scraper, Video to Blog, Dynamic UI Generation)
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- 31.CAG vs RAG Examples (Including Building an External Document Reader MCP with CAG)
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- 32.Building a Gemini 2.0 Multimodal E-Commerce App (Wan 2.1 Model, Streamlit App)
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- 33.Building an O1 Data Scientist App
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- 34.Realtime API: OpenAI Realtime API Demo
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- 35.Building a SAM2 AI App (Face Pixelation, Video Processing, Export)
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- 36.Running Local Models on Mobile Devices (Android-Termux, iOS-MLX)
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Cursor Ultimate Course and Project Practice
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- 37.Cursor Workflow: Writing PRDs, Breaking Down Tasks, Test-Driven Development, Memory Bank, Rules and Patterns
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- 38.Building Full-Stack Web Apps (Environment Setup, Frontend, Authentication, Backend, Deployment)
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- 39.Building Mobile Apps (Sweetpad Environment Setup, Xcode, Build, App Store Review)
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- 40.Building More Beautiful UIs (4-Step Process, Claude Prompts, Advanced V0 Techniques)
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- 41.Case Study: Building an AI Reddit Analysis Platform
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- 42.Case Study: Building an AI PDF Converter
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[Agent Development and Expert Workshops]
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- 43.Agent Workflows and Tool Calling
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- 44.Building Research Agents (Web Scraper Templates, Code Breakdown, Cross-Platform Price Comparison, Deep Research Replication)
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- 45.Building an O1 Data Scientist Agent
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- 46.Cursor Prompt Templates (Authentication, Payments)
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- 47.Weekly Workshops and Expert Interviews (Including Session Topics and Guest Sharing)
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- 48.Templates and Starter Kits: Paid MCP Templates and SaaS Starter Kits
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[Programming Fundamentals and Learning Path]
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- 49.Learning Roadmap and Introduction
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- 50.HTML Fundamentals for Beginners
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- 51.CSS Fundamentals for Beginners
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- 52.JavaScript Fundamentals for Beginners
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- 53.Building Your First MVP (Tech Stack, Git/GitHub)
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- 54.Frontend Development (Next.js, React.js, Tailwind CSS, Deployment)
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- 55.Backend Development (Supabase, Axios, API Routes, Authentication)
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- 56.Dynamic Routing and Authenticated Dashboard Management
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💡 Learning Tip: Tutorial content is based on industry practices at time of publication; please verify against current platform rules when learning.
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