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Learning Paths

A clear road from curious to capable

Five paths covering the directions AI takes you. Each one is multi-week, hands-on, and ends with something you can show.

  • 8paths
  • 4–12 weeksduration range
  • Beginner → Advancedlevel range
  1. 01
    Beginner

    AI Beginner Roadmap

    Zero to genuinely capable. The path I'd give my smart non-technical friend who wants to actually use AI well.

    4–6 weeks · 5 stages

    Start
  2. 02
    Beginner

    AI Creator Roadmap

    For writers, YouTubers, podcasters, and indie creators. Use AI to do more, better, faster — without becoming AI slop.

    6–8 weeks · 6 stages

    Start
  3. 03
    Intermediate

    AI Automation Engineer Roadmap

    Become the person who turns manual workflows into AI-powered automations. Highly hireable, instantly useful.

    8–10 weeks · 5 stages

    Start
  4. 04
    Intermediate

    AI Coding Roadmap

    Become 3x more effective with AI in your daily coding loop. Aimed at working engineers.

    4–6 weeks · 5 stages

    Start
  5. 05
    Intermediate

    AI Engineer Interview Prep Roadmap

    Four-week plan to go from 'I know the basics' to 'ready for AI Engineer onsite loops at competitive companies.' Daily-deliverable structure.

    4 weeks · 4 stages

    Start
  6. 06
    Intermediate

    AI Product Manager Roadmap

    Ship AI features users trust — without pretending to be an ML engineer. An 8-week path for PMs who need to spec, evaluate, and launch AI products in 2026.

    6–8 weeks · 8 stages

    Start
  7. 07
    Advanced

    AI Agent Builder Roadmap

    The path from 'I built a chatbot' to 'I built an agent that runs unsupervised.' For builders, not lurkers.

    10–12 weeks · 6 stages

    Start
  8. 08
    Advanced

    MLOps / LLMOps Engineer Roadmap

    Take LLM features from prototype to production — evals, observability, deployment, guardrails, and cost control. A 10-week path for engineers owning AI in prod.

    8–10 weeks · 10 stages

    Start