NEOPOLIS AKADEMY
Building AI Agents with CrewAI
Intermediate course focused on building coordinated AI agent teams with CrewAI. Explains defining agent roles, inter-agent communication, and state persistence to compose collaborative automated workflows.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
Defining and configuring agents with complementary roles using CrewAI.
Designing communication protocols and coordinating task handoffs among agents.
Managing shared state and recovery strategies for long-running workflows.
Practical use cases for automating decision sequences and pipeline processes.
STEP BY STEP
Course programme
01Building AI Agents with CrewAI
Overview of CrewAI for building collaborative agents. The material covers moving from a single agent to agent teams, and how to design smarter flows to improve coordination and effectiveness of automated tasks.
Introduction to the CrewAI environment and core concepts for getting started with an agent.
Approach to scaling from an isolated agent to a coordinated team of agents.
Designing smarter workflows: structuring interactions and dividing responsibilities among agents.
Wrap-up covering key principles to strengthen agent collaboration and applicable use cases.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page