Build & Deploy
Practical guides for building and shipping AI systems: deployment patterns, orchestration, infrastructure, and scaling.
Context Management: Handling Long Conversations and Documents
IntermediateMaster context window management for AI. Learn strategies for long conversations, document processing, memory systems, and context optimization.
Deployment Patterns: Serverless, Edge, and Containers
IntermediateHow to deploy AI systems in production. Compare serverless, edge, container, and self-hosted options.
Fine-Tuning vs RAG: Which Should You Use?
IntermediateCompare fine-tuning and RAG to customize AI. Learn when each approach works best, how they differ, and how to combine them.
Orchestration Options: LangChain, LlamaIndex, and Beyond
IntermediateFrameworks for building AI workflows. Compare LangChain, LlamaIndex, Haystack, and custom solutions.
Structured Output and Function Calling: Getting Reliable JSON from AI
IntermediateLearn how to get reliable, parseable JSON output from AI models using structured output, function calling, and JSON schema. Essential for production AI applications.
Cost & Latency: Making AI Fast and Affordable
AdvancedOptimize AI systems for speed and cost. Techniques for reducing latency, controlling API costs, and scaling efficiently.
Monitoring AI Systems in Production
AdvancedEnterprise-grade monitoring, alerting, and observability for production AI systems. Learn to track performance, costs, quality, and security at scale.