Agents, checkpointing, observability, and stateful orchestration.
Model Context Protocol, tool interfaces, and structured AI integration.
Retrieval pipelines, chunking, reranking, evaluation, and scoped memory.
Trace parsing, observability, and production understanding for AI systems.
LearningAI is meant to feel like a hands-on lab with a built-in mentor, not a pile of disconnected tutorials. The emphasis is on practical understanding, repeatable workflows, and seeing how the pieces actually work together.