Design & Secure LLM APIs for Scalability

Coursera MOOC / Non-credit USD 49
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Design & Secure LLM APIs for Scalability

About this course

Master the art of building enterprise-grade LLM APIs that scale to millions of users while maintaining bulletproof security. This hands-on course transforms you from API developer to platform architect, teaching you to design microservices architectures that handle 10M+ daily requests with sub-100ms response times. You'll implement advanced security frameworks protecting against prompt injection and data exfiltration, master OAuth2/JWT authentication, and build comprehensive monitoring systems that ensure 99.9% uptime. Through real-world scenarios from companies like Stripe and Netflix, you'll learn cost optimization strategies, auto-scaling configurations, and disaster recovery protocols. This course is designed for developers, security engineers, and platform teams who want to design, secure, and operate large-scale enterprise LLM APIs. Learners should be familiar with Python programming, API usage, ML concepts,cloud basics, Git/GitHub usage, and general software knowledge. By course end, you'll architect production-ready LLM APIs that meet enterprise security standards (HIPAA, SOC 2) and scale seamlessly from startup to unicorn. Perfect for senior developers, platform engineers, and technical leads building the next generation of AI-powered applications.

What you'll learn

  • design enterprise-grade LLM APIs
  • implement security frameworks against prompt injection
  • master OAuth2/JWT authentication
  • build monitoring systems for high uptime
  • optimize costs and configurations for scaling

Course objectives

  • transform from an API developer to a platform architect
  • ensure APIs meet enterprise security standards
  • develop production-ready LLM APIs for high traffic

Skills you'll gain

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