InternLM Tutorial is a structured learning program from the InternLM team covering the full development lifecycle of large language models. It includes modules on prompt engineering, RAG implementations with LlamaIndex, model fine-tuning using XTuner, and model evaluation via OpenCompass. The curriculum progresses from prerequisite skills through deployment and benchmarking, providing tasks, documentation, and video materials.