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19 free learning pathways · No account required to read

Pick your path.

AI user to practitioner — agents, MCP, context engineering, certification prep.

19pathways
249articles
120+hours of content
350K+students
Browse pathways ↓View pricing
Not sure where to start?
New to AI →I use Claude daily →
Building agents →
Claude Architect prep →
AWS GenAI Developer prep →
Google Cloud Gen AI Leader prep →
Azure AI-103 prep →

Beginner

7 tracks

AI Foundations

B

Understand what AI actually is — tokens, transformers, agents, and the landscape. Start here if you're new.

11 articles~4h
Start →

Prompt Engineering

B

Go from vague requests to precise, reproducible AI outputs. The skill that underpins everything.

13 articles~5h
Start →

AI Tools by Role

B

Practical AI adoption for your specific function — marketing, engineering, HR, finance, and more.

10 articles~4h
Start →

Developer Fundamentals

B

The technical foundations every AI builder needs — APIs, Git, Docker, Python, Next.js, and modern web.

10 articles~6h
Start →

AI for Creatives

B

Image generation, video, music, and voice — tools and workflows for creative AI production.

9 articles~5h
Start →

AI Skills

B

Discover, install, and publish agent skills — the reusable capability layer that makes AI agents infinitely extensible.

12 articles~3h
Start →

AI for Kids & Families

B

Raise 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.

7 articles~3h
Start →

Intermediate

8 tracks

Claude Code Mastery

I

Go from zero to productive with Claude Code — the terminal AI coding agent that ships real projects.

15 articles~7h
Start →

Building AI Agents

I

Understand and build the loops, harnesses, and protocols that make AI agents reliable and autonomous.

16 articles~6h
Start →

Advanced

4 tracks

Advanced Agent Architecture

A

Memory systems, multi-agent orchestration, RAG pipelines, and production-grade agent infrastructure.

13 articles~8h
Start →

Claude Certified Architect — Foundations

A

Everything you need to pass the Anthropic Claude Certified Architect exam: agentic loops, MCP tool design, Claude Code configuration, structured output, and context management.

26 articles~10h
Start →

Why practitioners choose explainx.ai

Structured depth.
Zero fluff.

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.

Practitioner-written

Written by someone who builds AI products — not instructional designers. The examples come from real systems, not textbooks.

Exam-aligned where it counts

The CCA pathway maps to Anthropic's official exam guide, domain weights, and scenario types — with embedded quiz questions throughout.

Ready to start?

Pick a track. Read the first article. That's it.

✓All pathway articles are free
✓249 articles across 19 tracks
✓No account needed to read
✓AI tutor + mock tests with subscription
Start with AI Foundations →Create free account

Frequently asked questions

Are the AI learning pathways free?+

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.

Which pathway should I start with?+

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.

How are these pathways different from YouTube tutorials?+

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.

Do the pathways cover the Claude Certified Architect exam?+

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.

How long does a pathway take to complete?+

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.

AI Model Landscape

I

Navigate the crowded model market — Claude, GPT, Gemini, open-source — and understand the tradeoffs.

13 articles~6h
Start →

AI Safety & Ethics

I

Alignment, interpretability, bias, and the open questions every AI practitioner should grapple with.

11 articles~4h
Start →

MCP: Model Context Protocol

I

Master the open protocol that connects AI agents to every tool, API, and data source — from setup to production security.

12 articles~6h
Start →

Loop Engineering

I

Design and ship reliable AI agent loops — from first iteration to self-correcting, production-grade autonomous workflows.

12 articles~4h
Start →

Context Engineering

I

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.

12 articles~6h
Start →

Google Cloud Generative AI Leader

I

Everything 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.

15 articles~8h
Start →

AWS Certified Generative AI Developer — Professional

A

Everything you need to pass AWS AIP-C01: Bedrock RAG, Knowledge Bases, agents, Guardrails, cost optimization, and GenAI evaluation on AWS.

18 articles~12h
Start →

Azure AI Apps and Agents Developer — Associate (AI-103)

A

Everything 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.

14 articles~13h
Start →