Phase 5: Enterprise Integration & Authentication · 55 min · Python · OIDC · OAuth 2.0
OIDC and OAuth 2.0 Token Management
Tokens expire. Refresh flows don't. Plan for both.
What you will learn
- Configure OIDC: ID tokens, userinfo endpoint, scopes, claims, discovery documents
- Implement OAuth 2.0 flows: authorization code with PKCE, client credentials, refresh token flow
- Manage tokens securely: storage, refresh token rotation, token revocation
- Handle credential rotation: rotating client secrets without downtime
- Support multiple IdPs: Microsoft Entra ID, Okta, Google Workspace, PingFederate
Objective
What you'll learn
This lesson takes approximately 55 min. By the end, you will be able to:
- Configure OIDC: ID tokens, userinfo endpoint, scopes, claims, discovery documents
- Implement OAuth 2.0 flows: authorization code with PKCE, client credentials, refresh token flow
- Manage tokens securely: storage, refresh token rotation, token revocation
- Handle credential rotation: rotating client secrets without downtime
- Support multiple IdPs: Microsoft Entra ID (formerly Azure AD), Okta, Google Workspace, PingFederate
The Problem
OIDC and OAuth 2.0 are the modern authentication and authorization protocols. Your AI platform likely uses OIDC for user authentication and OAuth 2.0 for API access. This lesson covers token flows (authorization code, client credentials, refresh), token validation, scope management, and managing token lifecycle in long-running AI services.
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