#learning path
3140 related articles
·3 min
Should Developers Learn Machine Learning? A Rational ROI Analysis and Learning Path Guide
Should full-stack developers learn machine learning? This article analyzes the difference between applied ML and research ML, breaks down the ROI at each stage, and offers a concrete action path.
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·3 min
Getting Started with AI Agent Development: A Complete Learning Path to Building Intelligent Applications from Scratch
AI Agents are reshaping software development with 42.8% market CAGR. Learn the difference between Agents and traditional AI, plus a complete LangChain-based curriculum to launch your career in intelligent agent development.
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·4 min
AI Agent Learning Path for Beginners: From Theory to Real-World Practice
A complete AI Agent learning roadmap covering BDI theory, core components (Perception/Planning/Execution), AutoGen multi-agent frameworks, and DeepSeek RAG projects for beginners.
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·4 min
AI Agent Development Deep Dive: Opportunities, Real Entry Barriers, and Learning Paths
A deep dive into AI Agent development: real architecture, entry barriers, and learning paths. From ReAct to multi-agent systems and LangChain — cut through the hype.
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·3 min
A Beginner's Guide to Affective Computing: Learning Paths, Datasets, and Technical Challenges
A complete guide to getting started with Affective Computing: from deep learning foundations and classic papers to hands-on practice with FER2013 and IEMOCAP datasets, covering multimodal fusion, emotion recognition challenges, and real-world applications.
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·7 min
21-Day Python Automation Testing Crash Course: A Complete Breakdown of the Three-Stage Learning Path
Learn automation testing from scratch! This article breaks down a three-stage path: Selenium/Appium tools, Requests+PyTest API testing, performance testing and CI/CD, with real projects—build a complete skill set in 21 days.
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·7 min
The Four-Stage Learning Path for AI Agent Development: From Beginner to Real-World Deployment
A systematic four-stage roadmap for AI Agent development: fundamentals, core principles, enhancement, and real-world deployment. Build complete Agent skills.
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·7 min
Zero-Basis Learning Path for AI Agents: A Three-Stage Journey from Beginner to Deployment
A systematic zero-basis learning path for AI Agent development, covering Python and LLM fundamentals, five core capabilities like task planning and RAG, and LangChain hands-on practice.
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·4 min
Getting Started with AI Agent Development: Core Mindset and Learning Path for Beginners
Intimidated by AI Agent development? This article breaks down the two biggest beginner pain points and reveals why the real skill isn't memorizing APIs, but mastering requirement decomposition, workflow design, and problem-solving.
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·4 min
Python Learning Path for Absolute Beginners: A Science-Based Guide to Avoid Common Pitfalls
How can beginners learn Python without getting lost? This guide outlines a 3-stage learning path covering basics, advanced topics, and hands-on practice in web scraping, data analysis, and office automation.
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·7 min
Learning Python from Scratch: A Complete Guide to the Three-Stage Learning Path
Want to learn Python from scratch but don't know where to begin? This article breaks down three stages—basic syntax, advanced mastery, and hands-on practice—with real projects in crawling, automation, and data analysis to help you build programming thinking.
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·3 min
LLM Development Learning Path: From Zero to Enterprise-Level Projects
A complete LLM development learning roadmap covering prompt engineering, RAG, AI Agents, and fine-tuning — helping beginners master LangChain, LlamaIndex, and more.
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·2 min
AI Large Model Development Learning Path: A Complete Guide from Zero to Enterprise Projects
A complete learning roadmap for AI large model development — covering Transformer, Prompt Engineering, RAG, LangChain, Agent development, fine-tuning, and deployment.
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·3 min
Learn Python from Scratch: A Three-Phase Systematic Learning Path and Practical Guide
How to efficiently learn Python from scratch? This guide covers a three-phase learning path—fundamentals, intermediate, and practical—including environment setup, OOP, web scraping, office automation, and data analysis.
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·3 min
LangGraph Beginner's Guide: Core Advantages, Deployment Options, and Complete Learning Path
A comprehensive guide to LangGraph's core advantages, storage mechanisms, differences from LangChain, and private deployment options for building production-ready AI agents.
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·3 min
AI Agent Beginner's Guide: A Complete Four-Stage Learning Path
A complete learning path for AI Agent development from scratch, covering core theory, ReAct paradigm, multi-agent collaboration, Prompt optimization, and hands-on projects across four stages.
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·3 min
AI Agent Learning Path from Zero: A Complete Guide from Principles to Practice
A systematic AI Agent learning path covering core principles, dev environment setup, memory management, multi-agent collaboration, and hands-on projects for beginners.
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·4 min
Learn to Code with AI from Scratch: A Complete Learning Path from Beginner to Deployment
A complete learning path for coding with AI from scratch — from concepts and environment setup to using Cursor, Claude, and other AI tools to build and deploy your first project.
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·3 min
AI Agent Hands-On Learning Path: A Complete Guide from Beginner to Enterprise-Level Development
A systematic AI Agent development learning roadmap covering prompt engineering, RAG, multi-Agent collaboration, tool calling, and more—with phased learning advice and 28 hands-on project references.
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·3 min
A Three-Month Roadmap to LLM Development: A Deep Dive into the Learning Path from Zero to Freelancing
A deep dive into the three-step LLM development learning path: from prompt engineering and RAG knowledge bases to AI Agent development, with realistic timelines for beginners and experienced developers.
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