From the course: Agentic AI Human-Agent Collaboration Design Patterns
What you need to know
From the course: Agentic AI Human-Agent Collaboration Design Patterns
What you need to know
The design patterns covered in this course cover topics focused specifically on the relationship between human intelligence and agent reasoning. While several of my previous courses have been focused on how agents work in isolation, this course shifts the focus toward hybrid architectures, so solution architectures that depend on humans and agents collaborating. This course can be considered a direct progression from the agentic AI solution design patterns course in which we established the fundamental building blocks of agent reasoning via the internal monologue, chain of thought, and reflection patterns. An understanding of those core reasoning patterns is a key prerequisite here because several of the collaborative patterns we're about to get into rely on the agent's ability to first form its own internal logic before presenting it to a human. Another course that is not a prerequisite but that is relevant to this course is agentic AI planning and reasoning design patterns where we can further delve into ways agents and AI systems can be designed to perform different types of reasoning logic. If you study the way agents can reason and then combine that with the different ways agents can collaborate with humans, this spectrum of design options will then allow you to create highly effective and targeted AI solution architectures. You might also want to check out my instructor profile on LinkedIn Learning to learn about other courses and generative system design and architecture. on agentic AI design, as well as predictive
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