• views: 114
• date: 9 December 2025
• posted by: 0nelove

Explore the many ways that agentic AI solutions can be designed to carry out planning and reasoning logic, and how agents can be optimized to reason, learn, and self-correct.
Course details
There are foundational design techniques commonly used to build agentic AI solutions with basic planning and reasoning capabilities. This course goes beyond those techniques to explore a range of intermediate and advanced design approaches focused on specialized agent architectures that can be designed to carry out diverse forms of runtime planning and reasoning logic, as well as self-correction logic and adaptive learning capabilities that do not rely on model training. Join LinkedIn Top Voice and best-selling author Thomas Erl as he covers a set of design patterns that reveal sophisticated and powerful ways in which agentic AI solutions can be tailored to perform different types of planning and reasoning logic based on different business requirements and performance constraints.This course was created by Thomas Erl. We are pleased to host this training in our library.




   
   
   

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