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A complete roadmap for learning AI Agent development from scratch, covering Python & LLM basics, five core skills, and hands-on RAG projects in 1-2 months.

A deep dive into the AI product manager industry's three-layer pyramid — from infrastructure to models to applications — helping traditional PMs find the best career transition track.

A complete roadmap for learning AI Agent development from scratch. Covers Python basics, LLM concepts, five core capabilities, mainstream frameworks, and RAG knowledge base projects.

A comprehensive guide to AI Agent full-stack development covering LangChain, LangGraph, MCP protocol, and LLM deployment, with a hands-on Vue3 project demo showcasing the perception-decision-action loop.

Indie developer Marc Lou was fired 6 times before pivoting to digital products, achieving $1.5M+ annual revenue with 95% profit margins. Learn his business model, pricing strategy, and AI marketing tactics.

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.

A practical guide for Java developers transitioning to AI app development. Includes a 45-day learning plan covering Spring AI, RAG, Agent skills, plus resume and interview strategies.
Industry InsightsIn-depth analysis of switching to AI with zero background: insights from 300+ job descriptions, tailored advice for different backgrounds, and realistic expectations for the three-month timeline.
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Deep analysis of 5 AI micro-startup directions for 2026: developer career pivot tools, EV residual value calculators, SaaS privacy compliance, skill matching, and founder mental health platforms.