Design & Secure LLM APIs for Scalability

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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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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

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

Tools you'll learn

Details to know

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Add to your LinkedIn profile

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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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Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in 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.

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

4 videosTotal 34 minutes

The LLM API Revolution: From Prototype to Production Scale4 minutes
Microservices Architecture for LLM APIs: Design Patterns and Best Practices7 minutes
Caching Strategies and Database Optimization for High-Performance APIs9 minutes
Load Balancing and Auto-scaling: From 0 to Millions of Requests15 minutes

2 readingsTotal 10 minutes

Welcome to the Course: Course Overview5 minutes
Designing Data-Intensive Applications: API Architecture for Scale5 minutes

1 peer reviewTotal 20 minutes

Hands-On-Learning: Refactor a Monolithic API into Domain-Driven Microservices 20 minutes

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

3 videosTotal 27 minutes

Authentication and Authorization: OAuth2 JWT and API Key Management7 minutes
Advanced Threat Protection: Prompt Injection Detection and Prevention8 minutes
Security Monitoring and Incident Response: Real-time Threat Detection11 minutes

1 readingTotal 5 minutes

Case Study: Stripe Radar Technical Guide - Machine Learning for Fraud Protection5 minutes

1 peer reviewTotal 20 minutes

Hands-On-Learning: Secure Authentication, Prompt Defense, and Monitoring for Healthcare APIs20 minutes

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

4 videosTotal 36 minutes

Monitoring and Observability: Metrics Dashboards and Alerting Systems9 minutes
Performance Optimization: Caching Database Tuning and Code Optimization9 minutes
Cost Optimization and Resource Management: Achieving 99.9% Uptime at Scale13 minutes
From API Developer to Platform Engineer: Your Journey in Enterprise LLM APIs5 minutes

1 readingTotal 5 minutes

Case Study: How Netflix Optimized Their LLM-Powered Recommendation APIs for 200M+ Users5 minutes

1 assignmentTotal 20 minutes

LLM API Engineering Mastery: Scalable Secure and Optimized Systems20 minutes

2 peer reviewsTotal 80 minutes

Hands-On-Learning: Build a Production Monitoring, Optimization, and Cost Control Workflow20 minutes
Project: Design & Secure LLM APIs for Scalability 60 minutes

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Instructors

Starweaver

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560 Courses1,110,383 learners

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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.