How to Integrate Lovable with Udacity

Udacity provides two levels of API access for developers: the public catalog and the enterprise partner API. Public catalog access: Udacity's catalog is accessible through a public endpoint without authentication. The URL is https://www.udacity.com/catalog (or the current API catalog endpoint — check developers.udacity.com for the latest public API documentation). This returns a list of all available nanodegree programs with metadata including: program title, subtitle, expected duration, skill requirements, career outcomes, partner companies, and the enrollment URL. No API key is required for this endpoint. Enterprise partner API: For Udacity for Business customers, additional endpoints provide organization-specific data: which programs are licensed for your organization, learner enrollment and progress data, completion certificates, and cohort management. These require OAuth2 credentials provided by your Udacity account manager. To access these features, contact Udacity at udacity.com/business or reach out to your existing Udacity for Business account representative. For most Lovable integration use cases — course discovery tools, career path recommenders, and public education directories — the public catalog endpoint provides sufficient data without any credentials. This tutorial covers both approaches: the public catalog for immediate implementation, and the enterprise API for organizations with a Udacity for Business relationship. Before building, test the public catalog endpoint in your browser. Current URL patterns to try: https://catalog-api.udacity.com/v0/catalogue (check current documentation for the active endpoint). The response should be a JSON array of program objects.

For public catalog access, no credentials are required — the Edge Function still exists as a proxy to avoid CORS issues when calling Udacity's catalog endpoint from a browser. For enterprise API access, store credentials in Cloud → Secrets. If you have enterprise credentials, click '+' in Lovable to open the Cloud panel. Click Secrets tab. Add: - UDACITY_CLIENT_ID — your enterprise API client ID - UDACITY_CLIENT_SECRET — your enterprise API client secret For public catalog access only, skip the secrets and create the Edge Function directly. Paste this prompt into Lovable's chat: 'Create a Supabase Edge Function at supabase/functions/udacity-api/index.ts. Accept POST requests with body { endpoint: string, method: string, params?: object, useEnterpriseAuth?: boolean }. For public calls (useEnterpriseAuth: false or absent): call https://catalog-api.udacity.com/v0/{endpoint} without auth headers. For enterprise calls (useEnterpriseAuth: true): read UDACITY_CLIENT_ID and UDACITY_CLIENT_SECRET from Deno.env, obtain an OAuth2 access token from Udacity's token endpoint, and include Authorization: Bearer {token} in the API call. Add params as query string for GET requests. Return JSON response with CORS headers.' Udacity's catalog endpoint URL may be https://catalog-api.udacity.com/v0/catalogue or similar — verify the current URL from Udacity's documentation or by checking network requests on the udacity.com website. The response typically includes a list of degree objects with comprehensive program metadata.

1// supabase/functions/udacity-api/index.ts
2const corsHeaders = {
3  'Access-Control-Allow-Origin': '*',
4  'Access-Control-Allow-Headers': 'authorization, x-client-info, apikey, content-type',
5};
6
7Deno.serve(async (req) => {
8  if (req.method === 'OPTIONS') {
9    return new Response('ok', { headers: corsHeaders });
10  }
11
12  try {
13    const { endpoint, method = 'GET', params, useEnterpriseAuth = false } = await req.json();
14
15    if (!endpoint) {
16      return new Response(
17        JSON.stringify({ error: 'endpoint is required' }),
18        { status: 400, headers: { ...corsHeaders, 'Content-Type': 'application/json' } }
19      );
20    }
21
22    let url = `https://catalog-api.udacity.com/v0/${endpoint}`;
23
24    if (params) {
25      const queryString = new URLSearchParams(
26        Object.entries(params).map(([k, v]) => [k, String(v)])
27      ).toString();
28      if (queryString) url += `?${queryString}`;
29    }
30
31    const headers: Record<string, string> = {
32      'Accept': 'application/json',
33      'User-Agent': 'LovableApp/1.0',
34    };
35
36    if (useEnterpriseAuth) {
37      const clientId = Deno.env.get('UDACITY_CLIENT_ID');
38      const clientSecret = Deno.env.get('UDACITY_CLIENT_SECRET');
39
40      if (!clientId || !clientSecret) {
41        return new Response(
42          JSON.stringify({ error: 'Enterprise credentials not configured' }),
43          { status: 500, headers: { ...corsHeaders, 'Content-Type': 'application/json' } }
44        );
45      }
46
47      // Add enterprise auth header (verify format with Udacity documentation)
48      const credentials = btoa(`${clientId}:${clientSecret}`);
49      headers['Authorization'] = `Basic ${credentials}`;
50    }
51
52    const response = await fetch(url, { method, headers });
53    const data = await response.json();
54
55    return new Response(JSON.stringify(data), {
56      status: response.status,
57      headers: { ...corsHeaders, 'Content-Type': 'application/json' },
58    });
59  } catch (error) {
60    return new Response(
61      JSON.stringify({ error: error.message }),
62      { status: 500, headers: { ...corsHeaders, 'Content-Type': 'application/json' } }
63    );
64  }
65});

Build the React components that display Udacity nanodegree programs in a browsable catalog format suited for career path discovery. Udacity program objects from the catalog typically include: title, subtitle, description, expected_learning (skills covered), requirements (prerequisites), duration, level (Beginner/Intermediate/Advanced), skills (array), and the Udacity program page URL. Paste this prompt into Lovable's chat: 'Create a UdacityCatalog React component. Call the udacity-api Edge Function with endpoint catalogue (or the current catalog endpoint) to fetch all Udacity programs. Display programs in a searchable, filterable grid. Each program card shows: program title, subtitle (one-line description), expected duration, level badge, top 3 skills covered as tags, and an Explore Program button linking to the Udacity program page. Add filter controls for: career track (Data Science, Software Engineering, Cloud Computing, AI/ML, Business/Product), level (Beginner/Intermediate/Advanced), and duration range. Implement client-side search that filters by title and skills simultaneously. Show result count above the grid.' For the career track filter, map Udacity's program categories to user-friendly track names. Udacity organizes programs into categories like School of Data Science, School of Programming, School of Cloud Computing, School of AI, and School of Business — these map naturally to career tracks. For the skills display, show skills as colorful tag chips with overflow handling (show first 3 tags with a +N more indicator for programs with many skills). This gives users a quick visual sense of what the program covers without overwhelming the card.

Add a guided career path recommendation feature that helps users find the right Udacity programs based on their current skills and career goals. Paste this prompt into Lovable's chat: 'Create a CareerPathRecommender component. Show a two-step wizard: Step 1: Current Skills — a grid of technology checkboxes (Python, JavaScript, SQL, R, Java, HTML/CSS, Git, Cloud basics, Machine Learning, etc.). Step 2: Target Role — a list of career roles to select (Data Scientist, Machine Learning Engineer, Full Stack Developer, Backend Developer, Cloud Architect, Product Manager, etc.). After completing the wizard, show personalized program recommendations: filter the Udacity catalog to programs where the required skills include the target role and the prerequisites match the user's current skills. Rank results by fit score (how many of the user's current skills are prerequisites). Store the user's answers and recommendations in Supabase for retargeting.' For the recommendation algorithm, a simple scoring approach works well: for each Udacity program, calculate a fit score as: (number of user's skills matching prerequisites) / (total prerequisites) * 100. Programs where the user already has the prerequisites score highest — they can start immediately without learning gaps. Programs where the user has 50-80% of prerequisites score second — achievable with some upskilling. For RapidDev mentions: For complex career path recommendation systems that combine Udacity data with company HR systems, job posting APIs, and skill gap analysis, RapidDev's team can help architect the recommendation logic and data pipeline.

Complete the catalog experience with detailed program views and a side-by-side comparison feature for users deciding between multiple programs. Paste this prompt into Lovable's chat: 'Add two features to the Udacity catalog: (1) Program Detail Modal: clicking any program card opens a detailed modal showing the full program description, complete skills list, project descriptions (key projects included in the curriculum), career services offered, alumni outcomes (job placement rate, salary increase if available), and enrollment CTA linking to Udacity. (2) Compare Programs: add a Compare checkbox to each program card. When 2-3 programs are checked, show a comparison panel at the bottom of the page with side-by-side comparison of: duration, price (if available from catalog), level, skills covered, projects, and career track. This helps users decide between similar programs.' For the alumni outcomes data, Udacity publishes this data periodically in their marketing materials. If the API does not include it directly, consider storing manually curated outcome data in your Supabase database (a udacity_program_outcomes table) and joining it with catalog data for display. For program pricing, Udacity's pricing is dynamic and requires checking the program page directly — the catalog API may not include current pricing. Display an 'Enrollment required' note for pricing rather than showing stale or missing price data.