Engineering Agentic AI – Control, Memory & Decision-making with Code

This webinar explains how agentic systems are engineered for reliability and control. Topics include planning loops, memory strategies, tool invocation, and how developers balance autonomy with predictability in production systems.

Through examples built with LangChain and CrewAI, you’ll see how agents collaborate, retain context, and execute complex tasks across multiple steps.