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    SwiftSchema

    Intuitive Schema Generation at Your Fingertips

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      Stack

      Education Schema Stack

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

      Open generatorValidate in Rich Results Test

      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

      What's included

      • Core course entity with name, description, provider, and outcomes.

      • Course Instance
        Open generator

        Scheduled cohort/section with dates, mode, and offers.

      • Frequently Asked Questions
        Open generator

        Answer enrollment, prerequisites, schedule, and payment questions.

      • Breadcrumb
        Open generator

        Navigation context within the catalog.

      Required properties (stack union)

      Ensure every applicable required property is present in your implementation. Nested props reference their parent objects (for example, `offers.priceCurrency`).

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

      Recommended properties (stack union)

      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

      Combined JSON-LD

      Paste as a single script tag. Keep product details, offer data, shipping/returns, and FAQ answers in sync with the page.

      Validate
      [
        {
          "@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" }
          ]
        }
      ]

      Implementation steps

      1. Start from your live product detail page content; ensure titles, prices, and availability match the page.
      2. Embed one JSON-LD script in the head or just before the closing body tag using the combined example as a template.
      3. Fill shipping details for each region you serve and keep them aligned with on-page shipping tables.
      4. Attach your canonical MerchantReturnPolicy URL and keep the policy text in sync with Merchant Center.
      5. Add 3–6 FAQs that address purchase blockers (shipping, returns, compatibility) and keep answers consistent with visible content.
      6. Validate in the Rich Results Test and revalidate after price/availability/policy changes.

      Common errors and fixes

      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.

      References