UpSkillZone AI

Catalog · UpSkillZone AI

Three tracks. Each ships a portfolio a hiring manager can read, run, and verify.

UpSkillZone AI runs a small number of vertically-deep tracks instead of an endless catalog. Each is a 10–14 week cohort with a real capstone artifact, a calibrated mentor attached, and a public credential at the end. The point is not exposure to a topic — the point is to ship work that survives review.

Every credential below is W3C VC + Open Badges 3.0, signed by the issuer key, indexed in the public skills directory. If you do not place against the stated outcome inside the published window, the outcome credit is refunded — that clause is in the enrolment agreement, not a footnote.

Open for enrolment

1 live

  • production-ai-engineer · Cohort 04 opens 2026-06-03

    Production AI Engineer

    A 14-week program that turns a working software engineer into a Production AI Engineer.

    Duration
    14 weeks · 12–15 hrs/wk
    Prereqs
    2+ yrs shipping production code, comfort with Python and HTTP
    Credential
    Production AI Engineer — W3C VC + Open Badges 3.0
    Next start
    Wed, 3 Jun 2026

    Read the Production AI Engineer syllabus

On the roadmap

2 planned

Tracks below are spec'd and currently in build. We publish their cohort window before enrolment opens so the roadmap is legible, not aspirational.

  • llm-eval-engineer · Cohort 02 opens 2026-Q3

    Syllabus locked, mentors signed

    LLM Eval Engineer

    Capstone: a calibrated judge harness — golden sets, inter-rater agreement floors, and CI-graded regression dashboards for a production LLM feature.

    Duration
    10 wk · 10–12 hrs/wk
    Prereqs
    Shipped at least one LLM feature; comfort with pytest + GitHub Actions
    Credential
    LLM Eval Engineer — W3C VC
  • production-ml-ops · Cohort 03 opens 2027-Q1

    Spec in review

    Production ML Ops

    Capstone: a multi-region training pipeline — feature stores, reproducible runs, drift detection, zero-downtime model rollouts.

    Duration
    12 wk · 12–14 hrs/wk
    Prereqs
    Working knowledge of Docker, one cloud provider, and a model lifecycle tool
    Credential
    Production ML Ops — W3C VC

What we won't ship

  • No 4-week "become an AI engineer" track. Production competence does not compress to a month.
  • No "intro to" tracks. The catalog is for people who already write software and want to ship a specific thing.
  • No certificates without a signed credential. If a hiring manager cannot verify it from the URL, we did not issue it.

Background reading

The thesis behind picking three tracks instead of three thousand is on the manifesto.

Read why depth, not breadth

Verify what we issue

Every credential these tracks issue is queryable in the public ledger.

Browse verified skills