Multi AI Agent Systems with crewAI

Overview

Learn key principles of designing effective AI agents and organizing a team of AI agents to perform complex, multi-step tasks. Apply these concepts to automate 6 common business processes.

Learn from João Moura, founder and CEO of crewAI, and explore key components of multi-agent systems:

• Role-playing:

  Assign specialized roles to agents

• Memory:

  Provide agents with short-term, long-term, and shared memory

• Tools:

  Assign pre-built and custom tools to each agent (e.g., for web search)

• Focus:

  Break down the tasks, goals, and tools, and assign them to multiple AI agents for better performance

• Guardrails:

  Effectively handle errors, hallucinations, and infinite loops

• Cooperation:

  Perform tasks in series, in parallel, and hierarchically

Throughout the course, you’ll work with crewAI, an open-source library designed for building multi-agent systems.

You’ll learn to build agent crews that execute common business processes, such as:

• Tailor resumes and prepare for job applications
• Research, write, and edit technical articles
• Automate customer support inquiries
• Conduct customer outreach campaigns
• Plan and execute events
• Perform financial analysis

By the end of the course, you will have designed several multi-agent systems to assist you in common business processes and studied the key principles of AI agent systems.

University:

Coursera

Provider:

Coursera

Categories:

Multi-Agent Systems Courses, Memory Management Courses

Subjects