From beginner to advanced — learn to use AI tools step by step
A six-layer map of machine learning, foundation models, RAG, agents, MCP, inference serving, and AI governance, with clear concept boundaries and learning paths for product, application, model, and governance roles.
A practical English guide to DeepSeek V4 covering sign-up, core features, reasoning, agents, web search, file analysis, and API use.
Happy-LLM is Datawhale's free LLM course and open book, not an AI tool. This guide reviews its seven chapters, CC BY-NC-SA license, 215M models, prerequisites, compute costs, and a practical study plan.
Datawhale Hello-Agents is a free AI-native agent course and open book, not a ready-to-use agent tool. This review covers its 16 chapters, CC BY-NC-SA license, model/API execution costs, safety boundaries, and a six-week plan.
A practical review of shareAI-lab's Learn Claude Code course, covering its 20-lesson harness curriculum, runnable exercises, API costs, MIT license, tool-execution risks, and educational-not-production boundary.
A practical beginner's guide to MCP (Model Context Protocol), including what it is, how it works, and how to configure it.
A practical beginner's guide to Cursor AI covering Tab completion, Composer, Agent mode, search, checkpoints, and the free vs paid plans.
A practical HeyEmmett review for founders, marketers, and small teams comparing its AEO content workflow, pricing, case-study data, free SEO tools, and alternatives such as Otterly, Peec AI, AthenaHQ, and Profound.
This site uses Cookies and Google Analytics to analyze traffic and improve your experience. By clicking “Accept” you consent to our use of Cookies. See our Privacy Policy.