Schema stack

    Education Schema Stack

    Course pages with scheduled CourseInstances, FAQs, and breadcrumb context for education programs.

    Included schema
    Course
    Course Instance
    Frequently Asked Questions
    Breadcrumb
    Fit

    When to use this stack

    • Course detail pages with upcoming cohorts or sections
    • Education program pages needing navigation and FAQs
    • Cohort-based offerings with schedule, mode, and instructor clarity
    Composition

    What is included

    Data contract

    Properties across the bundle

    Nested properties keep their parent path, such as offers.priceCurrency. Only publish values that match visible page content.

    Required properties

    • courseMode
    • description
    • itemListElement[].name
    • mainEntity[].@type=Question
    • mainEntity[].acceptedAnswer.text
    • name
    • provider.name
    • startDate

    Recommended properties

    • courseCode
    • endDate
    • instructor.name
    • itemListElement[].item
    • location.address
    • location.name
    • mainEntity[].acceptedAnswer.text
    • mainEntity[].author.name
    • mainEntity[].name
    • offers.availability
    • offers.price
    • offers.priceCurrency
    • provider.@type
    • provider.url
    Copy-ready example

    Combined JSON-LD

    Paste this as one script tag, then replace every example value with data from the live page.

    [
      {
        "@context": "https://schema.org",
        "@type": "Course",
        "@id": "https://www.example.com/courses/data-science-bootcamp#course",
        "name": "Data Science Bootcamp",
        "description": "Intensive 12-week program covering Python, SQL, statistics, and machine learning.",
        "provider": {
          "@type": "Organization",
          "name": "Example Academy",
          "url": "https://www.example.com"
        },
        "courseCode": "DS-401"
      },
      {
        "@context": "https://schema.org",
        "@type": "CourseInstance",
        "@id": "https://www.example.com/courses/data-science-bootcamp#spring24",
        "name": "Data Science Bootcamp — Spring 2026",
        "courseMode": "Online",
        "startDate": "2026-03-10",
        "endDate": "2026-06-02",
        "instructor": {
          "@type": "Person",
          "name": "Dr. Taylor Kim"
        },
        "location": {
          "@type": "VirtualLocation",
          "url": "https://classroom.example.com/ds-bootcamp-spring"
        },
        "offers": {
          "@type": "Offer",
          "price": "4900.00",
          "priceCurrency": "USD",
          "availability": "https://schema.org/InStock",
          "url": "https://www.example.com/courses/data-science-bootcamp#enroll"
        }
      },
      {
        "@context": "https://schema.org",
        "@type": "FAQPage",
        "mainEntity": [
          {
            "@type": "Question",
            "name": "Do I need prior coding experience?",
            "acceptedAnswer": {
              "@type": "Answer",
              "text": "Basic familiarity with Python is helpful but not required. Prep materials are provided after enrollment."
            }
          },
          {
            "@type": "Question",
            "name": "What is the weekly time commitment?",
            "acceptedAnswer": {
              "@type": "Answer",
              "text": "Expect 10-12 hours per week including live sessions, labs, and projects."
            }
          }
        ]
      },
      {
        "@context": "https://schema.org",
        "@type": "BreadcrumbList",
        "itemListElement": [
          { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://www.example.com" },
          { "@type": "ListItem", "position": 2, "name": "Courses", "item": "https://www.example.com/courses" },
          { "@type": "ListItem", "position": 3, "name": "Data Science Bootcamp", "item": "https://www.example.com/courses/data-science-bootcamp" }
        ]
      }
    ]
    Workflow

    Implement and verify

    1. 01

      Start with the live page

      Confirm titles, prices, availability, policies, and visible FAQ content before generating markup.

    2. 02

      Add one JSON-LD script

      Use the combined example as a template in the document head or before the closing body tag.

    3. 03

      Complete regional details

      Fill shipping destinations and timing for every region the page actually serves.

    4. 04

      Link the return policy

      Use a stable MerchantReturnPolicy URL and keep its terms synchronized with the page.

    5. 05

      Match visible answers

      Add only FAQs that users can read on the same page, with identical answers.

    6. 06

      Validate after changes

      Run Rich Results Test after implementation and whenever price, availability, or policy data changes.

    Quality check

    Common errors and fixes

    • Missing currency or availability

      Use ISO currency codes and complete schema.org availability URLs in Offer data.

    • Incomplete shipping details

      Include shippingDestination.addressCountry and deliveryTime.transitTime with units.

    • Return policy is not connected

      Reference MerchantReturnPolicy from the Offer and provide a stable public policy URL.

    • FAQ answers differ from the page

      Keep structured FAQ answers identical to visible answers.

    Questions

    Stack FAQs

    Can I list multiple CourseInstances?

    Yes. Use one CourseInstance per cohort or section and keep offers aligned to each instance.

    How do I mark in-person vs online?

    Use courseMode and set location to Place for in-person (with address) or VirtualLocation with a join URL for online.

    Primary sources

    References