Udemy - API Design Mastery - Architecting Production-Ready APIs
API Design Mastery: Architecting Production-Ready APIs
https://WebToolTip.com
Published 6/2026
Created by Rahul Rajat Singh
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 44 Lectures ( 6h 39m ) | Size: 2.9 GB
Design production-ready APIs with architect-level patterns, tradeoffs, governance, scalability, security, and resilience
What you'll learn
⚡ Design production-ready APIs using architect-level design principles and real-world tradeoff thinking
⚡ Choose the right API architecture style (REST, RPC, GraphQL, gRPC, event-driven) based on system constraints and business needs
⚡ Model APIs around business domains, resources, workflows, and long-lived contracts instead of implementation details
⚡ Design resilient APIs with proper error handling, idempotency, retries, timeouts, and failure-aware patterns
⚡ Architect secure APIs using modern authentication, authorization, OAuth 2.0, JWT, and trust boundary design principles
⚡ Design scalable API systems using caching, gateways, rate limiting, distributed systems thinking, and performance optimization strategies
⚡ Build robust async and event-driven API workflows using polling, callbacks, webhooks, streaming, and event contract design
⚡ Apply contract-first design, versioning, compatibility, lifecycle management, and developer experience best practices
⚡ Evaluate API designs using architect-level review checklists, decision frameworks, governance principles, and production failure analysis
Requirements
❗ Basic familiarity with APIs and HTTP concepts
❗ General backend software development experience is helpful
❗ Familiarity with software engineering fundamentals and distributed systems basics is beneficial
❗ No prior API architecture experience is required
❗ No framework-specific knowledge is required (Spring Boot, Node.js, FastAPI, etc.)
❗ No coding is required—this is a theory-first architecture and design course
❗ A willingness to think deeply about production systems, architectural tradeoffs, and API design decisions