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AI System Design — A Complete Guide (2026)

A comprehensive guide to designing production AI systems — covering data pipelines, model serving, agentic AI, MCP, scalability, caching, indexing, real-time inference, deployment, monitoring, privacy, security, and interview prep.

Table of Contents

Part I: Foundations & Architecture

• 1. Introduction Why AI system design matters, 2026 trends, MCP, multi-agent workflows
• 2. Problem Space Defining scope, clarifying constraints, functional vs non-functional requirements
• 3. Core Objectives Accuracy, scalability, latency, adaptability, observability
• 4. High-Level Architecture Data, model, serving, orchestration layers
• 5. Data Flow Ingestion, preprocessing, training, inference, feedback loops
• 6. Key Components Feature store, training pipeline, registry, serving, monitoring

Part II: Agentic AI & Pipelines

• 7. Agentic AI Orchestrator-worker, ReAct, Tree-of-Thought, memory subsystems
• 8. Offline vs Online Pipelines Batch vs real-time, Lambda/Kappa architectures
• 9. Scalability & Performance Sharding, distributed training, compression, load balancing
• 10. Caching Feature, model, prediction, semantic caching
• 11. Indexing & Retrieval Vector databases, HNSW, inverted indexes, tries
• 12. Real-Time Inference Pipeline API, micro-batching, fraud detection example

Part III: Operations, Security & Deployment

• 13. Data Freshness Streaming updates, micro-batching, versioned datasets
• 14. Deployment Strategies Canary, shadow, A/B testing
• 15. Fault Tolerance Redundancy, retries, circuit breakers, fallback models
• 16. Monitoring & Observability Latency, throughput, drift detection, Prometheus/Grafana
• 17. Privacy & Compliance GDPR, CCPA, differential privacy, AI TRiSM
• 18. Security Data poisoning, prompt injection, role-based access control

Part IV: Case Study, Interview Prep & Beyond

• 19. Case Study Recommendation engine design with retrieval + ranking + caching
• 20. Trade-Offs Accuracy vs latency, batch vs real-time, autonomy vs control
• 21. Interview Prep Structured answers, trade-offs, scaling estimates
• 22. Resources Courses, certifications, platforms
• 23. Wrap-Up Key takeaways, mindset, next steps