Design & Secure LLM APIs for Scalability

Overview

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.

Syllabus

LLM API Architecture and Scalability Design Patterns

This module distills scalable LLM API architecture into practical patterns for high‑throughput systems. Learners will move from monoliths to microservices, implement API gateways, define clean service boundaries, and apply caching to cut latency and cost. The module covers intelligent load balancing, auto‑scaling, and database optimization to handle traffic spikes while meeting sub‑100ms and 99.9% uptime targets. By the end, learners will design production‑ready architectures with clear scaling levers, SLOs, and rollback strategies for reliability.

Enterprise Security and Authentication for LLM APIs

This module unifies enterprise security for LLM APIs into a practical, defense‑in‑depth framework. Learners will implement OAuth2, JWT, and robust API key management; detect and prevent prompt injection and data exfiltration; and deploy real‑time security monitoring and incident response. The module also operationalizes GDPR, HIPAA, and SOC 2 controls to protect sensitive data, ensure API integrity, and maintain audit‑ready trails.

Production Monitoring Performance Optimization and Cost Management

This module turns production operations for LLM APIs into a practical playbook. Learners will instrument observability with custom metrics, real‑time dashboards, and proactive alerting; optimize performance via multi‑layer caching, database tuning, and code profiling; and manage costs through auto‑scaling, rightsizing, and capacity planning. The module culminates in operational runbooks, disaster recovery, and automated remediation to sustain 99.9% uptime and sub‑100ms targets at scale.