#learn AI
22 related articles
·3 min
AI Agent Development Tutorial: A Practical Guide from Zero to One-Person Company
A systematic guide to AI Agent development covering the three-stage learning path, core tech stack including LLM, RAG, and LangChain, plus how to build a one-person company through automated Agent workflows.
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Will AI Replace Programmers? Here's Wh…
·3 min
Will AI Replace Programmers? Here's What a Senior Developer Who Started Coding at 30 Has to Say
Will AI replace software engineers? A senior developer who started coding at 30 shares his real-world perspective on AI's impact on programming and what makes developers irreplaceable.
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AI Large Language Model Learning Roadm…
·4 min
AI Large Language Model Learning Roadmap: A Complete Guide from Zero to Project Implementation
A systematic AI LLM learning roadmap covering prompt engineering, RAG, AI Agent development, and fine-tuning — with beginner-friendly paths and practical tips.
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Learning AI Agent Development from Scr…
·3 min
Learning AI Agent Development from Scratch: A Beginner's Path and Monetization Guide
A comprehensive guide to AI Agent development for beginners, covering low-code platforms, LangChain framework, and monetization strategies for building and deploying intelligent agents.
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Tutorials·2 min
Cursor AI Fully Auto-Generates a Xiaomi Store Clone: Deep Dive into a Full-Stack Practical Course
Deep dive into a full-stack course using Cursor AI and Figma AI to auto-generate a Xiaomi Store clone with Spring Boot, Vue3, and UniApp for Web and WeChat Mini Program.
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Tutorials·2 min
Cursor AI Fully Auto-Generates a Xiaomi Store Clone: Deep Dive into a Full-Stack Practical Course
Deep dive into a full-stack course using Cursor AI and Figma AI to auto-generate a Xiaomi Store clone with Spring Boot, Vue3, and UniApp for web and WeChat Mini Programs.
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Tutorials·3 min
Getting Started with AI Agent Development: A Complete Learning Path from Concepts to Practice
A comprehensive guide to AI Agent development for beginners, covering core concepts, market outlook, LangChain framework, RAG knowledge bases, and hands-on projects to systematically master intelligent agent development skills.
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Tutorials·2 min
Ollama Getting Started Guide: The Best Tool for Locally Deploying Open-Source LLMs
A detailed guide to Ollama's core features: free open-source local LLM management with cross-platform support, intelligent GPU/CPU scheduling, and API integration for running DeepSeek and other open-source models locally at zero cost.
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Tutorials·2 min
LangChain 1.0 Complete Guide: Architecture, Core Modules, and Learning Path
Deep dive into LangChain 1.0's three-layer architecture (LangChain, LangGraph, Deep Agents), core components like Models, Tools, and Memory, plus a complete learning path from semantic search to multi-agent collaboration.
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Tutorials·3 min
Why Learning AI from Scratch Leaves You More Confused — A Clear, Systematic Roadmap for Beginners
Confused learning AI from scratch? This guide breaks down why fragmented learning fails and provides a complete path from Python to deep learning with practical tips.
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Industry Insights·3 min
5 Actionable AI Money-Making Paths for Ordinary People: A Deep Dive
Deep analysis of 5 AI monetization paths for ordinary people: AI apps, account reselling, matrix accounts, lightweight paid services, and local model deployment.
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Deep Dives·2 min
Learning AI Isn't Just About Making Money — It's About Making Yourself More Valuable
AI has deeply penetrated healthcare, law, content creation, and more. Learning AI not only boosts efficiency but builds compound skills that make you more valuable in the job market.
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Tutorials·3 min
Learn AI Agents in 30 Days: A Four-Stage Learning Roadmap from Zero to Production
A systematic breakdown of the AI Agent learning roadmap covering core architecture, ReAct/CoT paradigms, multi-agent collaboration, and Prompt optimization across four stages with quality resource recommendations.
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Tutorials·1 min
AI Agent Learning Roadmap: A Complete Guide from LLM Fundamentals to Enterprise-Level Project Implementation
A systematic AI Agent learning roadmap covering Python setup, Prompt Engineering, RAG, LangChain, multi-Agent collaboration, with enterprise medical consultation system case study and phased learning plan.
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Tutorials·3 min
Getting Started with Spring AI Alibaba: The Go-To Framework for Java Developers Integrating LLMs
A deep dive into Spring AI Alibaba's core positioning and advantages, helping Java developers quickly understand how to integrate LLMs through this framework.
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Tutorials·3 min
Goodbye Excel: Building a Financial Portfolio App with AI Coding Tool Codex
See how finance professionals use AI coding tool Codex to build a portfolio management app with security master data, trade entry, and EOD valuation from a single natural language prompt.
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Tutorials
One Month Until CAICP Certification: A…
·2 min
One Month Until CAICP Certification: A Zero-to-Hero Python Sprint Guide
With one month until the CAICP AI certification exam, this guide offers a Python sprint strategy for beginners and C++ developers, covering a 4-week study plan, training options, and fees.
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Industry Insights
Deep Dive into Three Major LLM Career …
·3 min
Deep Dive into Three Major LLM Career Paths: Requirements, Tech Stacks, and Career Prospects
Deep analysis of three core LLM roles—Application Engineer, Development Engineer, and Algorithm Engineer—covering technical requirements, salary thresholds, and career prospects including RAG, fine-tuning, and inference deployment.
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Industry Insights
Can't Code but Uses AI to Build Websit…
·3 min
Can't Code but Uses AI to Build Websites for Clients — Nearly ¥10,000 Earned from Just 3 Videos: A Full Breakdown
A product manager with 10 years of experience who can't code uses Cursor AI to freelance website projects, earning nearly ¥10,000 from just 3 videos. Full breakdown of his model and industry impact.
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Tutorials
AI Agent Learning Roadmap: From Beginn…
·3 min
AI Agent Learning Roadmap: From Beginner to Enterprise-Level Development in Three Months
A detailed three-month AI Agent learning roadmap covering LLM basics, ReAct paradigm, LangChain, memory mechanisms, tool calling, and multi-agent collaboration with practical project suggestions.
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