NEOPOLIS AKADEMY
Multi-Agent Systems with LangGraph
Practical design of multi-agent systems with LangGraph: graph-based agents, swarms and supervisors, using local Projector media and sequential progression to orchestrate interactions and distributed tasks.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
Pattern-based approach to architect networked agents, coordinate swarms and set up supervision.
Sequential practical labs using LangGraph and local Projector media to simulate exchanges and workflows.
Techniques for orchestration, message passing and managing distributed agent state.
Focus on design and technical experimentation; does not claim official certification issuance.
STEP BY STEP
Course programme
01Multi-Agent Systems with LangGraph
Learn to design agents as graphs with LangGraph and the principles of multi‑agent systems. The course covers building agents, tooling choices and multi‑agent frameworks, followed by a concise recap.
Agents as graphs: the LangGraph approach to structure agent logic and formalise interactions using graph representations.
Multi‑agent architecture: considerations on tooling, overview of multi‑agent frameworks and a summarising recap of the introduced concepts.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page