Programador de Cursos de IA Basado en Cursos Prerrequisitos Completados (Google Sheets + OpenAI)

Intermedio

Este es unautomatización que contiene 13 nodos.Utiliza principalmente nodos como Set, SplitOut, GoogleSheets, ManualTrigger, Agent. Programador de Cursos de IA Basado en Cursos Prerrequisitos Completados (Google Sheets + OpenAI)

Requisitos previos
  • Credenciales de API de Google Sheets
  • Clave de API de OpenAI

Categoría

-
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "meta": {
    "instanceId": "ad0113c344ee237399e44e9f11798b05baeb83a6196d514a9ae9d2ad71c3b5c9",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "5432b2ed-adde-4021-b6b3-e75e43bd102c",
      "name": "Al hacer clic en ‘Execute workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -1936,
        6608
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "d25eca2c-90bb-4888-b474-8e433089ffb2",
      "name": "OpenAI Chat Model2",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -1328,
        6880
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o",
          "cachedResultName": "gpt-4o"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "4l6TDfLZVFS24g3X",
          "name": "OpenAi account 4"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "735096be-4698-4f16-9ba3-0f4e22d1b96e",
      "name": "Nota adhesiva66",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1408,
        6592
      ],
      "parameters": {
        "color": 3,
        "width": 224,
        "height": 400,
        "content": "### 3) Connect OpenAI (API Key)\n1. In **n8n → Credentials → New → OpenAI API**  \n2. Paste your **OpenAI API key**  \n3. In **OpenAI Chat Model**, select your credential and a **vision-capable** chat model (e.g., `gpt-4o-mini`, `gpt-4o`, or your configured vision model)\n"
      },
      "typeVersion": 1
    },
    {
      "id": "adc4b2bc-5927-409e-809f-bcaf9dd09ab5",
      "name": "Analizador de salida estructurada",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        -1008,
        6592
      ],
      "parameters": {
        "jsonSchemaExample": "[\n  {\n    \"StudentID\": \"S001\",\n    \"Term\": \"Fall 2025\",\n    \"Selected\": [\n      \"CS-201 | Computer Systems | 3\",\n      \"CS-220 | Databases | 3\",\n      \"CS-210 | Web Development | 3\",\n      \"GEN-107 | Introduction to Sociology | 3\",\n      \"GEN-109 | Environmental Science | 4\"\n    ],\n    \"Rationale\": \"Student met prerequisites for sophomore-level Computer Science courses and added two Gen Eds for balance.\"\n  }\n]\n"
      },
      "typeVersion": 1.3
    },
    {
      "id": "6dc807d0-5f0d-4b88-8e37-3e05890b6f55",
      "name": "Nota adhesiva67",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1728,
        6160
      ],
      "parameters": {
        "color": 3,
        "width": 224,
        "height": 656,
        "content": "### 1) Connect Google Sheets (OAuth2)\n1. In **n8n → Credentials → New → Google Sheets (OAuth2)**  \n2. Sign in with your Google account and grant access  \n3. In each Google Sheets node, select your **Spreadsheet** and the appropriate **Worksheet**:  \n   - **data** (raw spend)  \n   - **Lookup** (channel reference table)  \n   - **render pivot** (output tab)  \n\nhttps://docs.google.com/spreadsheets/d/10IMnD8JhiR4lTlNFQTG_Auopg8haAiEt3_G9EKWTqLw/edit?gid=572766543#gid=572766543\n"
      },
      "typeVersion": 1
    },
    {
      "id": "abb848f7-0819-423c-8e24-3541f469d5d0",
      "name": "Agente de programación",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -1168,
        6384
      ],
      "parameters": {
        "text": "=\n    \"StudentID\": \"{{$json.StudentID}}\",\n    \"Name\": \"{{$json.Name}}\",\n    \"Program\": \"{{$json.Program}}\",\n    \"Year\": \"{{$json.Year}}\",\n    \"CompletedCourses\": \"{{$json.CompletedCourses}}\"\n\n",
        "options": {
          "systemMessage": "You are a registrar scheduling assistant. Using ONLY the provided Students sheet (10 sophomores with pipe-separated CompletedCourses), generate exactly FIVE courses per student for the current term (Fall 2025) from the catalog below, following all constraints.\n\nCATALOG\n# Format: CourseID | Title | Credits | Program | Category | Prereqs(pipe-separated AND) | Offered(Fall/Spring/Both)\nGEN-101 | College Writing I | 3 | GenEd | Gen Ed |  | Both\nGEN-102 | College Writing II | 3 | GenEd | Gen Ed | GEN-101 | Both\nGEN-103 | Quantitative Reasoning | 3 | GenEd | Gen Ed |  | Both\nGEN-104 | Introduction to Philosophy | 3 | GenEd | Gen Ed |  | Both\nGEN-105 | Public Speaking | 3 | GenEd | Gen Ed |  | Both\nGEN-106 | World History Since 1500 | 3 | GenEd | Gen Ed |  | Both\nGEN-107 | Introduction to Sociology | 3 | GenEd | Gen Ed |  | Both\nGEN-108 | General Psychology | 3 | GenEd | Gen Ed |  | Both\nGEN-109 | Environmental Science | 4 | GenEd | Gen Ed (Lab) |  | Both\nGEN-110 | Introduction to Statistics | 3 | GenEd | Gen Ed | GEN-103 | Both\n\nCS-101 | Intro to Programming (Python) | 4 | Computer Science BS | Major Core |  | Both\nCS-102 | Data Structures | 4 | Computer Science BS | Major Core | CS-101 | Both\nCS-103 | Discrete Mathematics | 3 | Computer Science BS | Major Core | GEN-103 | Both\nCS-201 | Computer Systems | 3 | Computer Science BS | Major Core | CS-102 | Fall\nCS-202 | Algorithms | 4 | Computer Science BS | Major Core | CS-102|CS-103 | Spring\nCS-210 | Web Development | 3 | Computer Science BS | Major Elective | CS-101 | Both\nCS-220 | Databases | 3 | Computer Science BS | Major Core | CS-102 | Both\n\nDS-101 | Intro to Data Science | 3 | Data Science BS | Major Core | GEN-110|CS-101 | Both\nDS-201 | Linear Algebra for DS | 3 | Data Science BS | Major Core | GEN-103 | Both\nDS-202 | Probability & Statistics II | 3 | Data Science BS | Major Core | GEN-110 | Both\nDS-210 | Data Visualization | 3 | Data Science BS | Major Elective | DS-101 | Both\n\nBUS-101 | Principles of Management | 3 | Business Administration BBA | Major Core |  | Both\nBUS-102 | Microeconomics | 3 | Business Administration BBA | Major Core |  | Both\nBUS-103 | Macroeconomics | 3 | Business Administration BBA | Major Core |  | Both\nBUS-201 | Financial Accounting | 3 | Business Administration BBA | Major Core | GEN-110 | Both\nBUS-202 | Marketing Principles | 3 | Business Administration BBA | Major Core | BUS-101 | Both\nBUS-210 | Business Analytics with Excel | 3 | Business Administration BBA | Major Elective | GEN-110 | Both\n\nPSY-101 | Introduction to Psychology | 3 | Psychology BA | Major Core |  | Both\nPSY-201 | Research Methods in Psychology | 3 | Psychology BA | Major Core | GEN-110|PSY-101 | Both\nPSY-210 | Cognitive Psychology | 3 | Psychology BA | Major Elective | PSY-101 | Fall\n\nBIO-101 | General Biology I (Lab) | 4 | Biology BS (Pre-Med) | Major Core |  | Fall\nBIO-102 | General Biology II (Lab) | 4 | Biology BS (Pre-Med) | Major Core | BIO-101 | Spring\nCHM-101 | General Chemistry I (Lab) | 4 | Biology BS (Pre-Med) | Major Core |  | Fall\nCHM-102 | General Chemistry II (Lab) | 4 | Biology BS (Pre-Med) | Major Core | CHM-101 | Spring\nBIO-201 | Genetics | 3 | Biology BS (Pre-Med) | Major Core | BIO-102|GEN-110 | Fall\nBIO-210 | Cell Biology | 3 | Biology BS (Pre-Med) | Major Elective | BIO-102 | Spring\n\nENGR-101 | Intro to Engineering | 3 | Mechanical Engineering BS | Major Core |  | Both\nENGR-102 | Engineering Graphics | 3 | Mechanical Engineering BS | Major Core |  | Both\nMTH-121 | Calculus I | 4 | Mechanical Engineering BS | Major Core | GEN-103 | Both\nMTH-122 | Calculus II | 4 | Mechanical Engineering BS | Major Core | MTH-121 | Both\nPHY-151 | Physics I (Calc-Based, Lab) | 4 | Mechanical Engineering BS | Major Core | MTH-121 | Fall\nPHY-152 | Physics II (Calc-Based, Lab) | 4 | Mechanical Engineering BS | Major Core | PHY-151|MTH-122 | Spring\nME-201 | Statics | 3 | Mechanical Engineering BS | Major Core | PHY-151|MTH-122 | Fall\nME-210 | Materials Science | 3 | Mechanical Engineering BS | Major Elective | CHM-101 | Spring\n\nNUR-101 | Foundations of Nursing | 4 | Nursing BSN | Major Core |  | Fall\nNUR-102 | Health Assessment | 3 | Nursing BSN | Major Core | NUR-101 | Spring\nNUR-201 | Pathophysiology | 3 | Nursing BSN | Major Core | CHM-101|BIO-101 | Fall\nNUR-210 | Pharmacology | 3 | Nursing BSN | Major Core | NUR-201 | Spring\n\nENG-101 | Intro to Literary Studies | 3 | English Literature BA | Major Core | GEN-101 | Both\nENG-201 | British Literature I | 3 | English Literature BA | Major Core | ENG-101 | Fall\nENG-210 | Creative Writing Workshop | 3 | English Literature BA | Major Elective | ENG-101 | Both\n\nECON-101 | Principles of Microeconomics | 3 | Economics BA | Major Core |  | Both\nECON-102 | Principles of Macroeconomics | 3 | Economics BA | Major Core |  | Both\nECON-201 | Intermediate Microeconomics | 3 | Economics BA | Major Core | ECON-101|GEN-110 | Fall\nECON-202 | Intermediate Macroeconomics | 3 | Economics BA | Major Core | ECON-102|GEN-110 | Spring\n\nART-101 | Design Foundations | 3 | Graphic Design BFA | Major Core |  | Both\nART-102 | Drawing I | 3 | Graphic Design BFA | Major Core |  | Both\nART-201 | Typography | 3 | Graphic Design BFA | Major Core | ART-101 | Fall\nART-210 | Digital Imaging | 3 | Graphic Design BFA | Major Elective | ART-101 | Both\n\nCONSTRAINTS\n1) Exactly 5 courses per student; target total 15–17 credits.\n2) Enforce prerequisites: all listed prereqs must already be in CompletedCourses.\n3) Use only courses offered in Fall or Both for Fall 2025.\n4) Prioritize Major Core, then Major Elective, then Gen Ed. Include at least one Gen Ed if still needed.\n5) No duplicates or courses already completed.\n6) Prefer 200-level progression where available and allowed by prereqs.\n\nINPUT\n- Students: an array of records from the Google Sheet with fields:\n  StudentID, Name, Program, Year, CompletedCourses (pipe-separated CourseIDs)\n\nOUTPUT\nReturn a JSON array; one object per student:\n[\n  {\n    \"StudentID\": \"S001\",\n    \"Term\": \"Fall 2025\",\n    \"Selected\": [\n      \"CS-201 | Computer Systems | 3\",\n      \"CS-220 | Databases | 3\",\n      \"CS-210 | Web Development | 3\",\n      \"GEN-107 | Introduction to Sociology | 3\",\n      \"GEN-109 | Environmental Science | 4\"\n    ],\n    \"Rationale\": \"Student met prerequisites for sophomore-level Computer Science courses and added two Gen Eds for balance.\"\n  }\n]\n\n\nIMPLEMENTATION NOTES\n- Parse CompletedCourses by splitting on \"|\".\n- Treat Prereqs as AND (e.g., \"CS-102|CS-103\" requires both).\n- \"GenEd\" courses apply to any program.\n- If a student cannot reach 5 major-appropriate courses, fill remaining slots with Gen Eds without prerequisites that are offered in Fall/Both to stay within 15–17 credits.\n",
          "passthroughBinaryImages": true
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "executeOnce": false,
      "typeVersion": 2.2
    },
    {
      "id": "7e482cae-9c94-4b19-a828-e067fa7cbb1b",
      "name": "Establecer campos",
      "type": "n8n-nodes-base.set",
      "position": [
        -544,
        6384
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "f239fdfb-f2ed-4e30-bb81-560cb624cdb9",
              "name": "StudentID",
              "type": "string",
              "value": "={{ $json.output[0].StudentID }}"
            },
            {
              "id": "249bdf9e-6f9b-4e45-a5c9-288128c03e51",
              "name": "Schedule",
              "type": "string",
              "value": "={{ $json['output[0].Selected'] }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "de5141a8-d7d2-4392-b516-d3b48f565e5e",
      "name": "Borrar sheet1",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        -336,
        6384
      ],
      "parameters": {
        "operation": "clear",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": 572766543,
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/10IMnD8JhiR4lTlNFQTG_Auopg8haAiEt3_G9EKWTqLw/edit#gid=572766543",
          "cachedResultName": "schedule"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "10IMnD8JhiR4lTlNFQTG_Auopg8haAiEt3_G9EKWTqLw",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/10IMnD8JhiR4lTlNFQTG_Auopg8haAiEt3_G9EKWTqLw/edit?usp=drivesdk",
          "cachedResultName": "Student Details"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "HlBW2puZbuCCq8jJ",
          "name": "Google Sheets account 3"
        }
      },
      "typeVersion": 4.7
    },
    {
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      "name": "Nota adhesiva56",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "color": 7,
        "width": 2144,
        "height": 1056,
        "content": "### 🎓 AI Course Scheduler from Completed Prereqs (Google Sheets + OpenAI)\n\nCreate a **Fall 2025 course schedule** for each student based on what they’ve already completed, catalog prerequisites, and term availability (Fall/Both). Reads students from Google Sheets → asks an AI agent to select **exactly 5 courses** (target **15–17 credits**, no duplicates, prereqs enforced) → appends each student’s schedule to a **schedule** tab.\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "b55540c2-7e9d-4998-9c87-fa8ef37ff943",
      "name": "Nota adhesiva4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -2448,
        6016
      ],
      "parameters": {
        "width": 400,
        "height": 1056,
        "content": "### ⚙️ Setup (only 2 steps)\n\n#### 1) Connect Google Sheets (OAuth2)\n- In **n8n → Credentials → New → Google Sheets (OAuth2)**, sign in and grant access  \n- In the Google Sheets nodes, select your spreadsheet and these tabs:\n  - **Sheet1** (input students)\n  - **schedule** (output)\n\n> Example spreadsheet (replace with your own):  \n> - Input: `.../edit#gid=0`  \n> - Output: `.../edit#gid=572766543`\n\n#### 2) Connect OpenAI (API Key)\n- In **n8n → Credentials → New → OpenAI API**, paste your key  \n- In the **OpenAI Chat Model** node, select that credential and a chat model (e.g., `gpt-4o`)\n\n\n\n- 📧 **rbreen@ynteractive.com**  \n- 🔗 **Robert Breen** — https://www.linkedin.com/in/robert-breen-29429625/  \n- 🌐 **ynteractive.com** — https://ynteractive.com\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "b23e80f6-a848-4fdc-989d-f500fae50f8d",
      "name": "Obtener datos del estudiante",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        -1664,
        6672
      ],
      "parameters": {
        "options": {},
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/10IMnD8JhiR4lTlNFQTG_Auopg8haAiEt3_G9EKWTqLw/edit#gid=0",
          "cachedResultName": "Sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "10IMnD8JhiR4lTlNFQTG_Auopg8haAiEt3_G9EKWTqLw",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/10IMnD8JhiR4lTlNFQTG_Auopg8haAiEt3_G9EKWTqLw/edit?usp=drivesdk",
          "cachedResultName": "Student Details"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "HlBW2puZbuCCq8jJ",
          "name": "Google Sheets account 3"
        }
      },
      "typeVersion": 4.7
    },
    {
      "id": "e8c4be35-a682-43af-806c-4a0908fad56f",
      "name": "Dividir horario",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        -800,
        6384
      ],
      "parameters": {
        "include": "allOtherFields",
        "options": {},
        "fieldToSplitOut": "output[0].Selected"
      },
      "typeVersion": 1
    },
    {
      "id": "40109987-d4b5-48d5-aea6-1923956ad3e8",
      "name": "Anexar horario",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        -128,
        6384
      ],
      "parameters": {
        "columns": {
          "value": {},
          "schema": [
            {
              "id": "StudentID",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "StudentID",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Schedule",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Schedule",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "autoMapInputData",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "append",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": 572766543,
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/10IMnD8JhiR4lTlNFQTG_Auopg8haAiEt3_G9EKWTqLw/edit#gid=572766543",
          "cachedResultName": "schedule"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "10IMnD8JhiR4lTlNFQTG_Auopg8haAiEt3_G9EKWTqLw",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/10IMnD8JhiR4lTlNFQTG_Auopg8haAiEt3_G9EKWTqLw/edit?usp=drivesdk",
          "cachedResultName": "Student Details"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "HlBW2puZbuCCq8jJ",
          "name": "Google Sheets account 3"
        }
      },
      "typeVersion": 4.7
    }
  ],
  "pinData": {},
  "connections": {
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    "e8c4be35-a682-43af-806c-4a0908fad56f": {
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    "d25eca2c-90bb-4888-b474-8e433089ffb2": {
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            "type": "ai_outputParser",
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}
Preguntas frecuentes

¿Cómo usar este flujo de trabajo?

Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.

¿En qué escenarios es adecuado este flujo de trabajo?

Intermedio

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.

Información del flujo de trabajo
Nivel de dificultad
Intermedio
Número de nodos13
Categoría-
Tipos de nodos8
Descripción de la dificultad

Adecuado para usuarios con experiencia intermedia, flujos de trabajo de complejidad media con 6-15 nodos

Autor
Robert Breen

Robert Breen

@rbreen

Professional services consultant with over 10 years of experience solving complex business problems across industries. I specialize in n8n and process automation—designing custom workflows that integrate tools like Google Calendar, Airtable, GPT, and internal systems. Whether you need to automate scheduling, sync data, or streamline operations, I build solutions that save time and drive results.

Enlaces externos
Ver en n8n.io

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Categorías

Categorías: 34