explainx.ai · learning pathways
Structured learning tracks built for practitioners — not slides, not quizzes. Real articles, real skills, organized into cohesive pathways you can actually finish.
Understand what AI actually is — tokens, transformers, agents, and the landscape. Start here if you're new.
Go from vague requests to precise, reproducible AI outputs. The skill that underpins everything.
Practical AI adoption for your specific function — marketing, engineering, HR, finance, and more.
The technical foundations every AI builder needs — APIs, Git, Docker, Python, Next.js, and modern web.
Image generation, video, music, and voice — tools and workflows for creative AI production.
Discover, install, and publish agent skills — the reusable capability layer that makes AI agents infinitely extensible.
Go from zero to productive with Claude Code — the terminal AI coding agent that ships real projects.
Understand and build the loops, harnesses, and protocols that make AI agents reliable and autonomous.
Navigate the crowded model market — Claude, GPT, Gemini, open-source — and understand the tradeoffs.
Alignment, interpretability, bias, and the open questions every AI practitioner should grapple with.
Master the open protocol that connects AI agents to every tool, API, and data source — from setup to production security.
Design and ship reliable AI agent loops — from first iteration to self-correcting, production-grade autonomous workflows.
Master the full discipline of designing what an AI model sees — from context window anatomy to agentic context design, token budgets, RAG injection, and tool schemas.
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