NEOPOLIS AKADEMY
Build AI Agents with smolagents
Learn to design and orchestrate AI agents using smolagents. The course presents agent construction, RAG approaches, inter-agent communication and coordination, and multi-agent workflows to tackle complex tasks.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
Overview of smolagents and agent architecture: components, decision cycles and role definitions.
Implementing RAG: indexing, contextual retrieval and using documents to enrich outputs.
Designing multi-agent workflows: cooperation patterns, pipeline structure and asynchronous communication.
Orchestration practices: state handling, task decomposition and monitoring agent interactions.
STEP BY STEP
Course programme
01Build AI Agents with smolagents
Designing AI agents with smolagents: build tool-enabled agents, implement agentic RAG and multi-step agents, and create multi-agent systems with specialist roles, coordination and agent memory management.
Practical introduction to smolagents that walks through creating agents that perform calculations and tasks without hand-coding every function, and how to attach external tools to agents.
Deep dive into agentic RAG: ordering knowledge sources into answers, what happens inside a RAG pipeline and the step that injects semantic context.
Study of multi-agent systems: designing specialist agents, coordinating an agent team and approaches to manage agent memory and validate inter-agent actions.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page