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.

您将学到什么
Design scalable LLM API architectures using microservices patterns, load balancing, and caching for high-throughput applications.
Implement enterprise security including authentication, authorization, rate limiting, and prompt injection protection.
Deploy monitoring systems and optimize performance achieving 99.9% uptime and sub-100ms response times.
您将获得的技能
要了解的详细信息

添加到您的领英档案
1 项作业
December 2025
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该课程共有3个模块
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.
涵盖的内容
4个视频2篇阅读材料1次同伴评审
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.
涵盖的内容
3个视频1篇阅读材料1次同伴评审
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.
涵盖的内容
4个视频1篇阅读材料1个作业2次同伴评审
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