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.
Design & Secure LLM APIs for Scalability
Design & Secure LLM APIs for Scalability
This course is part of Build Next-Gen LLM Apps with LangChain & LangGraph Specialization
Instructors: Starweaver
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Intermediate level
Recommended experience
4 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
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.
Skills you'll gain
- Security Controls
- Python Programming
- Cloud Management
- Application Performance Management
- Load Balancing
- GitHub
- Redis
- Performance Testing
- AI Security
- API Design
- Amazon CloudWatch
- Incident Response
- MLOps (Machine Learning Operations)
- Network Monitoring
- Machine Learning
- Cloud API
- Skills section collapsed. Showing 11 of 16 skills.
Details to know
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Assessments
1 assignment
Taught in English
Recently updated!
December 2025
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This course is part of the Build Next-Gen LLM Apps with LangChain & LangGraph Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
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.
What's included
4 videos2 readings1 peer review
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.
What's included
3 videos1 reading1 peer review
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.
What's included
4 videos1 reading1 assignment2 peer reviews
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