This tutorial builds a runnable, end-to-end version of the Lkotkote bioacoustic monitoring pipeline, which combines AI-based bird sound identification with Samburu Traditional Ecological Knowledge (TEK) for climate-relevant biodiversity monitoring in northern Kenya. By the end, users will be able to take TEK-informed field sites and audio recordings through automated detection, AI species identification, community TEK enrichment, and open Darwin Core/GBIF publishing — and will understand where each real-world tool (AudioMoth, Raven Lite, Arbimon, BirdNET-Analyzer, the Lkotkote platform) plugs into that pipeline.