Building Agentic AI Applications With LLMs

Why it matters

A specialist topology is easier to judge after building agentic applications end to end. This course is NVIDIA’s own structured route to that experience.

What to practise

The course is NVIDIA Deep Learning Institute training in building agentic applications with large language models; its outline is on the course page. As you work through it, note each point where an application splits work between agents, which agent owns control at that point, and what each split costs in coordination.

How it fits

Measure each multi-agent design you meet against the topologies in 1.5.1 and the explicit outcomes in 1.5.2. Then apply 1.5.3: a specialist is worth adding only when it measurably improves quality, latency or cost over a single agent.