20 free pathways · No account needed to read
Short, plain-language reading tracks that take you from curious to confident — whatever your role. Pick a path, read at your own pace, come back when you have ten minutes.
BeginnerUnderstand what AI actually is — tokens, transformers, agents, and the landscape. Start here if you're new.
BeginnerGo from vague requests to precise, reproducible AI outputs. The skill that underpins everything.
BeginnerPractical AI adoption for your specific function — marketing, engineering, HR, finance, and more.
BeginnerThe technical foundations every AI builder needs — APIs, Git, Docker, Python, Next.js, and modern web.
BeginnerImage generation, video, music, and voice — tools and workflows for creative AI production.
BeginnerDiscover, install, and publish agent skills — the reusable capability layer that makes AI agents infinitely extensible.
BeginnerRaise a kid who commands AI instead of consuming it — screen-free games, a safe first chat, weekend builds, fake-spotting, and homework rules. For parents and educators of ages 5–14.
IntermediateGo from zero to productive with Claude Code — the terminal AI coding agent that ships real projects.
IntermediateUnderstand and build the loops, harnesses, and protocols that make AI agents reliable and autonomous.
IntermediateNavigate the crowded model market — Claude, GPT, Gemini, open-source — and understand the tradeoffs.
IntermediateAlignment, interpretability, bias, and the open questions every AI practitioner should grapple with.
IntermediateMaster the open protocol that connects AI agents to every tool, API, and data source — from setup to production security.
IntermediateDesign and ship reliable AI agent loops — from first iteration to self-correcting, production-grade autonomous workflows.
IntermediateMaster 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.
IntermediateEverything you need to pass Google Cloud's Generative AI Leader exam: gen AI fundamentals, Gemini and Gemini Enterprise, grounding and prompt engineering, SAIF, and responsible AI — for business-level, non-technical candidates.
AdvancedMemory systems, multi-agent orchestration, RAG pipelines, and production-grade agent infrastructure.
AdvancedDesign multi-agent organizations as programmable graphs — org graphs, work graphs, and the harnesses that hold them together after loops stop being enough.
AdvancedEverything you need to pass the Anthropic Claude Certified Architect exam: agentic loops, MCP tool design, Claude Code configuration, structured output, and context management.
AdvancedEverything you need to pass AWS AIP-C01: Bedrock RAG, Knowledge Bases, agents, Guardrails, cost optimization, and GenAI evaluation on AWS.
AdvancedEverything you need to pass Microsoft's AI-103 exam: Microsoft Foundry, Foundry Agent Service, RAG and agents, computer vision, text analysis, and information extraction on Azure.
Why people choose explainx.ai
Sequenced, not scattered
Each pathway is a curated reading order — not a topic dump. Articles build on each other so you finish with a complete mental model.
Written by a practitioner
Written by someone who builds AI products day to day — not instructional designers. Examples come from real work, not textbooks.
Exam-aligned where it counts
The certification pathways map to the official exam guides, domain weights, and scenario types — with quiz questions built in.
Ready to start?
Yes. All pathway articles are free to read. A subscription unlocks mock certification tests, the AI chat tutor, and progress tracking — but the core curriculum is fully free.
If you're new to AI: start with AI Foundations or Prompt Engineering. If you're a developer building with Claude: start with Building AI Agents or Context Engineering. If you're preparing for the Anthropic certification: go to Claude Certified Architect — Foundations.
Each pathway is a curated sequence of articles — not a video course. You read at your pace, skip what you know, and come back to what matters. Every article is written for practitioners: no filler, no padding, just the information you need to ship.
Yes. The Claude Certified Architect — Foundations pathway maps directly to Anthropic's official exam guide: all five domains, task statements, and scenario types. It includes embedded quiz questions and links to timed mock tests.
Pathways range from 3 hours (AI Skills) to 15 hours (Building AI Agents). Most practitioners complete a pathway in 1–3 weeks, reading 1–2 articles per session alongside their regular work.
