Airtable as the CMS for 250-300 online courses with direct AWS sync
A private arts college uses Airtable as the operational content management system for its full online course catalog, tracking course creation, updates, and complex required materials through linked records, then pushing JSON payloads directly to AWS without manual re-keying between systems.
The challenge
Course Development and Technology teams managed course data across multiple systems with no shared record of truth. Creating or updating a course required manual entry in separate tools, with no reliable way to detect when content was duplicated, outdated, or inconsistent across the catalog.
Required materials for each course, such as syllabi, reading lists, and media assets, lived in disconnected files rather than linked records. Searching the curricula for overlapping or duplicate content was not possible without reviewing course records individually.
What they built
The team built an Airtable base that serves as the operational CMS for the full online course catalog. Each course record tracks creation status, update history, and all required materials through linked records, creating a structured and searchable content layer without a custom-built CMS.
A JSON export automation pushes course data directly to AWS on a defined schedule, syncing content to downstream systems without manual intervention. Proposed AI capabilities will add content summarization, duplicate detection, and curricula-wide search, making it possible to identify overlapping course content across the full catalog.
The outcome
Course Development and Technology teams share a single view of all 250-300 online courses. Required materials are linked directly to course records rather than maintained in separate files, and the catalog is searchable in a way that was not possible with the prior setup.
0 manual re-keying is needed between Airtable and AWS. The JSON export automation keeps downstream systems current, and proposed AI features will give teams the ability to surface duplicate content and summarize curricula without manually reviewing individual course records.
Inside the solution
Course Content Management and CMS
Content Production and Localization
Learning and Development
- Course creation and update tracking across the full catalog
- Required materials management via linked records
- JSON export to AWS for downstream system sync
- Cross-system content synchronization
- AI-driven content summarization and duplicate detection
- Fragmented course data spread across disconnected systems
- Manual content updates required across multiple tools
- No way to detect duplicate or overlapping course content at scale
- Lack of searchable curricula across the full course catalog
- Single source of truth for all course data and required materials
- Automated JSON sync to AWS eliminates manual re-keying
- AI-powered content insights for duplicate detection and summarization
- Consolidated materials management through linked records
- Course Development
- Technology
- Education Programs
- AWS
- Downstream course systems
- AI content analysis
Course Content Management and CMS
Run your entire online course catalog from one Airtable base: every course record carries its status, version history and required materials as linked records, so teams stop reconciling course data across disconnected systems. Built-in AI fields summarize courses, tag them for curricula-wide search and flag duplicate content, while sync-status fields and a payload log track each JSON push to downstream course systems.
How the course content management system was built
Centralize course records with linked materials
Push JSON directly to AWS
Extend with AI content insights
FAQ
Frequently asked questions
Each course record in the Airtable base holds the course's metadata, status, and all required materials through linked records. Course Development and Technology teams create, update, and review course records directly in Airtable, which then pushes structured JSON to AWS for downstream consumption. The base functions as the content creation and management layer, with AWS handling distribution.
Required materials such as syllabi, reading lists, and media assets are stored as linked records connected to their parent course record. This lets teams filter, search, and update materials independently of the course record itself, and gives the system a clear record of which materials belong to which course without duplicating data.
An Airtable automation serializes the course record and its linked materials into a structured JSON payload, then pushes the payload to the designated AWS endpoint on a defined schedule. No manual export, file transfer, or re-entry is required. The downstream system receives current course data without human intervention.
Proposed AI features include content summarization, which will generate short summaries of each course and its materials, duplicate detection, which will identify overlapping content across the full catalog, and curricula-wide search, which will make it possible to find specific topics or materials across all 250-300 courses without reviewing each record individually.
Yes. The linked record structure, JSON export automation, and proposed AI layer are adaptable to institutions managing large online or blended course catalogs. The base can be configured to match different course structures, material types, and downstream system requirements.