System Design for the LLM Era
Patterns and principles for production-grade AI architecture
Created by Sampriti Mitra
Explore the essential patterns and principles for designing robust AI systems powered by large language models. Through detailed technical explanations and real-world case studies, you'll learn how to move from prototype to production-ready architecture with confidence.
Packt | Jun 2026 | 272 min
What You Will Learn
You'll start by building a solid understanding of LLM fundamentals before diving into core design patterns and principles for AI architecture. Each section builds on the last, with practical case studies that show how to apply these concepts to real-world scenarios. By the end, you'll have a toolkit for architecting reliable, scalable AI solutions.
Key Features
- Master architectural patterns for scalable, resilient LLM-based applications
- Apply proven strategies to manage cost, latency, and security in AI systems
- Gain hands-on insight from practical case studies across multiple domains
Target Audience
Ideal for engineers, architects, and technical leads with some experience in AI or software development. If you're looking to integrate LLMs into your systems or scale up from prototypes to production, you'll find actionable guidance and practical examples tailored to your needs.
