AI Gateway Architecture
Build AI gateways with routing, rate limiting, model versioning, observability, and security layers.
Course Lessons
Follow these lessons in order for a complete understanding of ai gateway architecture.
1. AI Gateway Overview
Learn about ai gateway overview in the context of ai gateway architecture.
2. Request Routing and Load Balancing
Learn about request routing and load balancing in the context of ai gateway architecture.
3. Rate Limiting and Quotas
Learn about rate limiting and quotas in the context of ai gateway architecture.
4. Model Versioning via Gateway
Learn about model versioning via gateway in the context of ai gateway architecture.
5. Observability Layer
Learn about observability layer in the context of ai gateway architecture.
6. Security at the Gateway
Learn about security at the gateway in the context of ai gateway architecture.
7. Gateway Implementation
Learn about gateway implementation in the context of ai gateway architecture.
What You'll Learn
By the end of this course, you will be able to:
Understand Core Concepts
Gain deep understanding of the principles and patterns that define ai gateway architecture.
Apply in Practice
Implement real-world solutions using the architectural patterns and code examples from each lesson.
Make Architecture Decisions
Evaluate trade-offs and choose the right approaches for your specific requirements and constraints.
Build Production Systems
Design and implement production-ready AI systems that are reliable, scalable, and maintainable.
Lilly Tech Systems