0 XPPT

Your progress

Curious

Everything is saved in this browser, no account needed. Finish the lessons, answer the checks, pass the final exam, and earn a certificate for each track.

0 XP

0

Pages read to the end

0

Pages mastered

0

Checks answered

0%

First-try accuracy

0

Day streak

0

Best run

Tracks and certificates

  1. 01

    LLM foundations for engineers

    Start here. What changes when a model becomes part of your system: prompts as interfaces, structured output, tools, and when a fixed workflow beats an agent.

    Start
  2. 02

    Evals and reliability

    How to know an LLM feature works before your users tell you: evals, golden datasets, structured contracts, and deterministic work moved back into code.

    Start
  3. 03

    RAG and context

    Give the model the right information at the right time: embeddings, retrieval, hybrid search, reranking, chunking, and long conversations that do not rot.

    Start
  4. 04

    Building agents

    Give the model autonomy without the classic accidents: loops with a budget, a small toolset, subagents, and multiple agents only when they pay off.

    Start
  5. 05

    Securing AI systems

    For whoever answers for what the agent does with money, data, and customers: prompt injection, least privilege, human approval, and an audit trail.

    Start
  6. 06

    Production: cost, latency, and operations

    Cheap, fast, and observable: tracing, parallel steps, caching, model cascades, a fallback when the provider goes down, and a stack without vendor lock-in.

    Start

Achievements

  • First pageRead a page to the end.
  • First hitGot a check right on the first try.
  • Five in a rowFive first-try answers in a row.
  • Ten in a rowTen first-try answers in a row.
  • Perfect pageGot every check on a page right on the first try.
  • Solid foundationMastered every fundamental.
  • Smell snifferMastered 5 smell pages.
  • Hands on the codeMastered 5 refactorings.
  • Pattern repertoireMastered 5 design patterns.
  • Production eyeMastered 3 real-world scenarios.
  • First architectureSubmitted a final exam in the LangGraph Lab.
  • PassedPassed a final exam with a score of 70 or more.
  • Ideal architectureScored 100 on a final exam.
  • Track completeCompleted your first track.
  • All six tracksCompleted every track.
  • Three-day streakStudied three days in a row.
  • One-week streakStudied seven days in a row.
How certificates are earned
  1. Finish every lesson in the track: each check must be answered.
  2. Pass the final exam, the track lab, with a score of 70 or more. Retake it as often as you like; your best score counts.
  3. Final grade = 40% first-try accuracy on checks + 60% final exam. The certificate needs 70 or more; 90 or more earns distinction.
  4. Retaking checks is practice: first-try accuracy stays as your first answer.
  5. At issue time, the ai-guru server reruns your exam, recomputes your grade, and signs the certificate. A signed certificate cannot be altered.
How XP works
  • +10 XP per page read to the end
  • +20 XP per check right on the first try
  • +5 XP per check right after a miss
  • +25 XP per page with every check answered
  • +15 bonus XP if every check was right on the first try
  • +50 XP for the first submission of each final exam
  • +150 XP for passing a final exam, +50 XP for a 100
  • +150 XP per completed track
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