Build production-ready AI systems that can reason, retrieve information, use tools, and operate reliably.
Large language models can generate impressive responses, but building dependable AI applications requires much more than calling an API. Production reasoning systems need structured workflows, retrieval, tool integration, evaluation, security, observability, and operational controls.
Mastering AI Reasoning Systems takes a practical, systems-engineering approach to building these capabilities with Python. Using the Compass platform as a continuous example, you will progressively build a reasoning architecture from its foundations through production deployment.
Inside, you will learn how to:
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