---
title: Training
summary: A self-paced 8-week intensive curriculum that condenses a full college-semester sweep of the FastYoke platform into ~160 hours. Sixteen modules, one capstone, every platform pillar.
order: 1
---

# Training

The reference docs answer "how does X work?" The tutorials
answer "how do I build my first X?" This section answers a
different question: **"How do I learn the whole platform
end to end?"**

The training section is a **self-paced 8-week intensive
curriculum** — 16 modules, one capstone, every platform
pillar — that condenses a full college-semester sweep of
FastYoke into roughly 160 hours of work.

## Jump to

::section-cards{section="training"}
::

## Who this is for

- An industry developer ramping on FastYoke in 4–8 weeks
  rather than learning piecemeal as tickets come in.
- A Strategic Partner engineer (see
  [iNetko](/partners/inetko)) onboarding to support or
  implement on FastYoke for customer engagements.
- An evaluator who wants to gauge how much surface there
  actually is to learn before committing.

## Delivery mode

**Self-paced.** There is no cohort schedule, no enrollment,
no proctored exam. A learner who can follow the syllabus
end-to-end has effectively completed the program. Run it
as fast or as slow as your workload allows; pause and
resume at module boundaries.

If you want to use this material to run a cohort or
in-house training engagement, the same content works as
the source-of-truth syllabus.

## Prerequisites

- **JavaScript** or **TypeScript** fluency.
- Comfort with **REST** + HTTP basics.
- A working **curl** + Unix shell.
- Familiarity with a relational-database concept (rows,
  foreign keys) and JSON.

No prior FastYoke knowledge is required.

## Cadence

- **8 weeks**, **16 modules** (two per week), **~20 hr/wk**
  workload — ~160 hours total.
- Each module follows a uniform five-section shape —
  learning objectives, assigned reading, lab title,
  project deliverable title, quiz topics — documented in
  the [Syllabus](/docs/training/syllabus).
- The capstone is a single multi-week project, default
  shape: ship a Tenant Yoke end-to-end. See
  [Capstone](/docs/training/capstone).

## What's in this section today

- This **index** — the framing you're reading.
- **[Syllabus](/docs/training/syllabus)** — 16 modules with
  learning objectives, reading lists, and lab/project
  titles per module.
- **[Lectures](/docs/training/lectures)** — short
  narrative explainers per module: the *why* behind each
  primitive, mental model, key concepts, common pitfalls.
- **[Labs](/docs/training/labs)** — hands-on exercises per
  module with verifiable checkpoints + answer-key
  solutions. Most carry Postman + `curl` paths side by
  side.
- **[Quizzes](/docs/training/quizzes)** — 10-question
  self-check banks per module (160 questions total) with
  reveal-style answers and brief explanations.
- **[Capstone](/docs/training/capstone)** — final
  integration project with a five-category self-grading
  rubric.
- **[Starter code](/docs/training/starter-code)** —
  skeleton scripts and JSON templates the labs reference.
  Parachute, not template.
- **[Certification](/docs/training/certification)** —
  sealed-PDF completion certificate issued via the M14
  e-sign trust model on capstone acceptance.

## How to use the syllabus self-paced

1. Read the syllabus end-to-end first to know where every
   module sits.
2. Pick a starting module — the syllabus order is the
   recommended order, but every module's reading list
   cross-links into reference docs you can also consume
   out of order.
3. For each module, work the lab (once labs ship) and
   submit the project deliverable to your own sandbox
   tenant.
4. The capstone is the final integration — see
   [Capstone](/docs/training/capstone).

## What's not in training today

Each item below is a deliberate follow-on:

- **Capstone walkthrough** — a worked reference Tenant
  Yoke that hits every rubric category. Deferred until
  real submissions land so it doesn't anchor early
  learners.
- **Centrally-graded submissions / auto-grader** — the
  rubric is self-graded; there is no platform-side
  grader and no LLM-graded path. Reviewers are humans.
- **Cohort delivery materials** — instructor guides,
  slide decks, recorded lectures. Only relevant if you
  run a live cohort. The existing content is the
  source-of-truth syllabus either way.

## See also

- [Tutorials](/docs/tutorials) — the 101/201/301 on-ramp
  for developers who want a guided build rather than a
  structured curriculum.
- [Recipes](/docs/recipes) — single-task snippets you can
  copy-paste during a module.
- [Developers](/docs/developers) — the day-1 API
  invariants every module assumes.