What you'll learn

RAG pipelines often fail at the source: what you feed the model. In this course, Context Assembly and Compression, you'll learn to build a relevant, concise, and validated context window for LLM tasks. First, you'll design assembly heuristics and a schema-aware prompt template. Next, you'll apply extractive and abstractive compression to respect token budgets without losing critical evidence. Finally, you'll validate compressed contexts with A/B tasks and track token use, latency, and cost, adding auto-fallback thresholds. When you're done with this course, you'll have a practical context-engineering recipe that improves answer quality while controlling spend.