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Il y a 3 modules dans ce cours
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.
Inclus
4 vidéos2 lectures1 évaluation par les pairs
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4 vidéos•Total 34 minutes
The LLM API Revolution: From Prototype to Production Scale•4 minutes
Microservices Architecture for LLM APIs: Design Patterns and Best Practices•7 minutes
Caching Strategies and Database Optimization for High-Performance APIs•9 minutes
Load Balancing and Auto-scaling: From 0 to Millions of Requests•15 minutes
2 lectures•Total 10 minutes
Welcome to the Course: Course Overview•5 minutes
Designing Data-Intensive Applications: API Architecture for Scale•5 minutes
1 évaluation par les pairs•Total 20 minutes
Hands-On-Learning: Refactor a Monolithic API into Domain-Driven Microservices •20 minutes
Enterprise Security and Authentication for LLM APIs
Module 2•1 heure à terminer
Détails du module
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.
Inclus
3 vidéos1 lecture1 évaluation par les pairs
Afficher les informations sur le contenu du module
3 vidéos•Total 27 minutes
Authentication and Authorization: OAuth2 JWT and API Key Management•7 minutes
Advanced Threat Protection: Prompt Injection Detection and Prevention•8 minutes
Security Monitoring and Incident Response: Real-time Threat Detection•11 minutes
1 lecture•Total 5 minutes
Case Study: Stripe Radar Technical Guide - Machine Learning for Fraud Protection•5 minutes
1 évaluation par les pairs•Total 20 minutes
Hands-On-Learning: Secure Authentication, Prompt Defense, and Monitoring for Healthcare APIs•20 minutes
Production Monitoring Performance Optimization and Cost Management
Module 3•2 heures à terminer
Détails du module
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.
Inclus
4 vidéos1 lecture1 devoir2 évaluations par les pairs
Afficher les informations sur le contenu du module
4 vidéos•Total 36 minutes
Monitoring and Observability: Metrics Dashboards and Alerting Systems•9 minutes
Performance Optimization: Caching Database Tuning and Code Optimization•9 minutes
Cost Optimization and Resource Management: Achieving 99.9% Uptime at Scale•13 minutes
From API Developer to Platform Engineer: Your Journey in Enterprise LLM APIs•5 minutes
1 lecture•Total 5 minutes
Case Study: How Netflix Optimized Their LLM-Powered Recommendation APIs for 200M+ Users•5 minutes
1 devoir•Total 20 minutes
LLM API Engineering Mastery: Scalable Secure and Optimized Systems•20 minutes
2 évaluations par les pairs•Total 80 minutes
Hands-On-Learning: Build a Production Monitoring, Optimization, and Cost Control Workflow•20 minutes
Project: Design & Secure LLM APIs for Scalability •60 minutes
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