Udacity

Udacity is an online tech-upskilling platform offering project-based Nanodegree programs, individual courses, and enterprise workforce development across Artificial Intelligence, Generative AI, Agentic AI, Data Science, Cloud Computing, Cybersecurity, Programming, Autonomous Systems, Product Management, and DevOps. Founded by Sebastian Thrun out of the Stanford CS221 free online AI course in 2011, Udacity pioneered the Nanodegree credential and partnered with industry leaders (AWS, Google, Meta, Microsoft, NVIDIA, Mercedes-Benz) to co-develop curriculum. In 2024 Accenture acquired Udacity for approximately $1B and folded the platform into LearnVantage, Accenture's enterprise learning and skilling business. Udacity reports 25M+ learners globally and remains best known for its Self-Driving Car, Deep Learning, and Generative AI Nanodegrees, with hands-on projects reviewed by human mentors and career services. Udacity does not publish a public developer API, SDK, or developer portal — enterprise customers integrate via Accenture LearnVantage sales channels rather than self-service APIs. Its public GitHub organization (github.com/udacity) hosts 1,100+ open-source classroom and course-content repositories (e.g. deep-learning-v2-pytorch, self-driving-car, cd13303-genai-c1-classroom) used as Nanodegree exercises, not as official platform APIs.

Udacity is profiled on the APIs.io network. Tagged areas include E-Learning, Upskilling, Nanodegrees, Tech Education, and Workforce Development.

Udacity’s developer surface includes pricing, engineering blog, privacy policy, GitHub presence, YouTube channel, and 19 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

12.1/100 emerging ▬ flat Agent 12/100 agent aware Front door AI 6/6 dominant Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 MCP Servers

E-Learning UpskillingNanodegreesTech EducationWorkforce DevelopmentGenerative AI TrainingAI Agents Data Science Cloud Computing Cybersecurity Autonomous SystemsSelf-Driving CarsAccentureLearnVantage

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 12.1/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 5.4 / 17

Operational Transparency 0.6 / 11

Contract Governance 0.0 / 10

Discoverability 4.5 / 9

Regulatory Posture 2.1 / 15

Agent readiness — 12/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Education & Research regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

11 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 2.4 — up to +19.5 composite points
Access Clarity scores 31.6 — up to +13.7 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/udacity/apis.yml: open an issue on github.com/api-evangelist/udacity to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Udacity MCP Server

Remote MCP server at mcp.udacity.com over HTTP.

MCP SERVER

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Udacity Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Build 1

SDKs, sample code, and the tooling you integrate with

GitHub

GitHub

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 2

Status, limits, changes, and where to get help

SupportCenter

SupportCenter

Contact

Contact

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

Privacy

Privacy

TermsOfService

TermsOfService

Company 8

The organization behind the API

Website

About

Newsroom

Blog

Careers

Twitter

LinkedIn

Facebook

Facebook

Scroll for all 8

Other 8

Properties that don't map to a standard resource type

Catalog

Enterprise

Government

Schools

GenerativeAI

Mentorship

ParentCompany

AcquisitionAnnouncement

AcquisitionAnnouncement

Scroll for all 8

Source (apis.yml)

aid: udacity
name: Udacity
description: Udacity is an online tech-upskilling platform offering project-based Nanodegree programs, individual courses,
  and enterprise workforce development across Artificial Intelligence, Generative AI, Agentic AI, Data Science, Cloud Computing,
  Cybersecurity, Programming, Autonomous Systems, Product Management, and DevOps. Founded by Sebastian Thrun out of the Stanford
  CS221 free online AI course in 2011, Udacity pioneered the Nanodegree credential and partnered with industry leaders (AWS,
  Google, Meta, Microsoft, NVIDIA, Mercedes-Benz) to co-develop curriculum. In 2024 Accenture acquired Udacity for approximately
  $1B and folded the platform into LearnVantage, Accenture's enterprise learning and skilling business. Udacity reports 25M+
  learners globally and remains best known for its Self-Driving Car, Deep Learning, and Generative AI Nanodegrees, with hands-on
  projects reviewed by human mentors and career services. Udacity does not publish a public developer API, SDK, or developer
  portal — enterprise customers integrate via Accenture LearnVantage sales channels rather than self-service APIs. Its public
  GitHub organization (github.com/udacity) hosts 1,100+ open-source classroom and course-content repositories (e.g. deep-learning-v2-pytorch,
  self-driving-car, cd13303-genai-c1-classroom) used as Nanodegree exercises, not as official platform APIs.
type: Index
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
position: Producing
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/udacity.png
tags:
- E-Learning
- Upskilling
- Nanodegrees
- Tech Education
- Workforce Development
- Generative AI Training
- AI Agents
- Data Science
- Cloud Computing
- Cybersecurity
- Autonomous Systems
- Self-Driving Cars
- Accenture
- LearnVantage
tags_raw:
- Online Learning
- Upskilling
- Nanodegrees
- Tech Education
- Workforce Development
- Generative AI Training
- Agentic AI
- Data Science
- Cloud Computing
- Cybersecurity
- Autonomous Systems
- Self-Driving Cars
- Accenture
- LearnVantage
url: https://raw.githubusercontent.com/api-evangelist/udacity/refs/heads/main/apis.yml
created: '2026-05-25'
modified: '2026-05-25'
specificationVersion: '0.23'
apis: []
common:
- type: DomainSecurity
  url: security/udacity-domain-security.yml
- type: Website
  url: https://www.udacity.com
- type: Catalog
  url: https://www.udacity.com/catalog
- type: Enterprise
  url: https://www.udacity.com/enterprise
- type: Government
  url: https://www.udacity.com/government
- type: Schools
  url: https://www.udacity.com/school
- type: GenerativeAI
  url: https://www.udacity.com/school/artificial-intelligence
- type: Mentorship
  url: https://www.udacity.com/mentorship
- type: Pricing
  url: https://www.udacity.com/pricing
- type: SupportCenter
  url: https://udacity.zendesk.com/hc/en-us
- type: About
  url: https://www.udacity.com/about
- type: Newsroom
  url: https://www.udacity.com/blog
- type: Blog
  url: https://www.udacity.com/blog
- type: Careers
  url: https://www.udacity.com/jobs
- type: Contact
  url: https://www.udacity.com/contact
- type: Privacy
  url: https://www.udacity.com/legal/privacy
- type: TermsOfService
  url: https://www.udacity.com/legal/terms-of-use
- type: ParentCompany
  url: https://www.accenture.com/us-en/services/learnvantage
- type: AcquisitionAnnouncement
  url: https://newsroom.accenture.com/news/2024/accenture-completes-acquisition-of-udacity-to-build-deep-learning-and-skilling-capability-to-help-clients-and-their-people-thrive-in-the-age-of-ai
- type: GitHub
  url: https://github.com/udacity
- type: Twitter
  url: https://twitter.com/udacity
- type: LinkedIn
  url: https://www.linkedin.com/school/udacity
- type: YouTube
  url: https://www.youtube.com/user/Udacity
- type: Facebook
  url: https://www.facebook.com/Udacity
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Udacity API — frequently asked questions

Does Udacity have an MCP server?

Yes. APIs.io lists 1 MCP server for Udacity: Remote MCP server at mcp.udacity.com over HTTP.

Is the Udacity API ready for AI agents?

Udacity has a Kin Score of 12.1 out of 100 (emerging) and an Agent Readiness score of 12.2 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

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Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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