CrewAI and Multi-Agent Systems
Professional skills preparation with worked examples, written practice and independent learning assessments.
Professional CrewAI and Multi-Agent Systems course covering: Multi-agent systems concepts and when to use them; CrewAI agents, roles, goals and backstories; Tasks, processes and crews; Tools and custom tool development in CrewAI; Flows, memory and knowledge in CrewAI; AutoGen and other multi-agent frameworks compared; Testing, cost and failure modes of agent teams; Capstone: research and content crew. Practical lessons, hands-on labs, exercises, quizzes and a final exam. Includes lessons, supplementary YouTube tutorials, practical exercises, quizzes and free/paid practice tests. Erudex is independent, not affiliated with the source institution or awarding body. Its 80% learning checks are not official grades or university credit. Content requires qualified subject review before use as a complete teaching programme.
Curriculum
One complete track with its own final exam and certificate.
Professional CrewAI and Multi-Agent Systems course covering: Multi-agent systems concepts and when to use them; CrewAI agents, roles, goals and backstories; Tasks, processes and crews; Tools and custom tool development in CrewAI; Flows, memory and knowledge in CrewAI; AutoGen and other multi-agent frameworks compared; Testing, cost and failure modes of agent teams; Capstone: research and content crew. Practical lessons, hands-on labs, exercises, quizzes and a final exam.
Multi-agent systems concepts and when to use them
- Lesson 1: From LLM Calls to Multi-Agent Systems Lab60 min
- Lesson 2: Decide When Multiple Agents Are Worth the Cost Lab60 min
- Lesson 3: Coordination Patterns, Handoffs, and Shared State Lab60 min
- Lesson 4: Design a Safe, Testable CrewAI Use Case Lab60 min