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TranslatedAI Agent Development Guide | Agent Harness | Context Engineering | Advanced RAG | MCP | Agentic RL Reinforcement Learning | LangGraph in Practice | 12,000+ Large Model Interview Questions | Job Hunting for Algorithm / Development Roles | Switching Careers to Large Models

TranslatedProgrammer Yupi's (程序员鱼皮) programming handbook ⭐️ The most complete programming learning roadmap for 2026! Includes learning roadmaps for Java, front-end, Python, C++, algorithms, computer fundamentals, AI application development, AI Agent development, and more. Provides programming beginner tutorials, AI large model application development tutorials, hands-on RAG development, MCP development tutorials, Prompt engineering guides, LLM application development, technical knowledge sharing, learning resource recommendations, hands-on project tutorials, popular interview questions, job-hunting experience, résumé optimization, programming self-study guides, and more. Suitable for everyone who is learning programming from zero, learning AI development, switching careers to become a programmer, computer science students, and anyone looking for a job 💎 To learn programming, come to 编程导航 (Programming Navigation)!

Translated🚀 The most systematic crash course on AI Agents in 2026 | Agent hands-on tutorial · Complete learning path + hands-on projects + interview question bank · Aligned with LLM application development engineer job roles · Covers LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / prompts · Enterprise-grade deployment and fine-tuning · From 0 to enterprise-level implementation + from learning to launching projects + interview preparation, all in one

Translated[Three Years of Interviews, Five Years of Mock Interviews] An interview resource platform for AIGC/LLM/AI Agent algorithm engineers. It covers practical interview and written-test experience and core, cross-cycle knowledge for the AI industry, including AIGC, LLM large models, AI Agents, embodied intelligence, traditional deep learning, computer vision, natural language processing, autonomous driving, machine learning, reinforcement learning, big data mining, world models, the metaverse, AGI, and more.

TranslatedThe complete AI Agent interview guide: from zero to Offer, including 200+ interview questions, enterprise-level projects (Python/Java/Go), resume templates, STAR interview scripts, and Doraemon comic illustrations

TranslatedFull-stack learning roadmap and Chinese tutorials for large language models (LLM)🔥: covers Prompt Engineering, RAG, AI Agent, MCP, fine-tuning, model deployment, Transformer, AI programming, and interviews at major tech companies, from beginner level to production practice.

Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.

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AI Roadmap 2026: a beginner's path through Foundations, LLM Engineering, Agents, Evaluation, and Production, with verified free resources and a mini-project per layer