NEOPOLIS AKADEMY
Building Agentic Workflows with LlamaIndex
Intermediate exploration of stateful agents and coordinated workflows using LlamaIndex. Covers orchestrating agents, managing memory/state, and structuring agentic information flows for conversational and retrieval-style pipelines.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
Introduction to agent concepts and indexing with LlamaIndex.
Designing coordinated workflows among agents and explicit state/memory management.
Techniques to link indexes, query chains and agents to improve retrieval and generation.
Architectural examples and practical guidance for orchestrating multiple agents.
STEP BY STEP
Course programme
01Building Agentic Workflows with LlamaIndex
Introduction to designing agentic workflows using LlamaIndex. The course defines agents, discusses agent memory, and explains how to build deep-research workflows and multi-agent systems to coordinate complex tasks.
Definition and getting started: what an agent is and the role of memory in its behavior.
Explanation of principles to create an operational agent with LlamaIndex.
Designing a deep research workflow to structure documentary or data-driven investigations.
Overview of multi-agent systems and a recap of best practices to orchestrate multiple agents.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page