Building Multi-Agent Workflows with CrewAI

Course Outline

In this course, "Building Multi-Agent Workflows with CrewAI," you'll learn how to design, build, and automate workflows using AI agents in CrewAI. The course begins with an introduction to agentic AI workflows and the tools needed to set up your environment. You'll then move on to creating, customizing, and running multi-agent systems, learning how agents collaborate through tasks, tools, and sequential or hierarchical workflows. Through a practical worked example, you'll build a dynamic research and reporting crew that accepts user inputs, conducts web searches, and compiles results into a structured report. By the end of the course, you'll have the skills to design scalable, AI-powered workflows for a variety of real-world applications.

Learning Outcomes

• Understand the basics of multi-agent workflows and their applications.
• Learn how to configure and integrate tools like OpenAI and Serper for automation.
• Build a research automation and content creation tool using CrewAI.

Who Is This Course For?

• Developers and tech enthusiasts with basic Python knowledge.
• AI practitioners interested in workflow automation.
• Anyone looking to explore practical use cases for multi-agent systems.

Pre-requisites

• Programming Knowledge: Basic experience with Python.
• Command Line Skills: Familiarity with terminal commands to set up tools and frameworks.
• Prompting AI Models: Prior use of tools like OpenAI or other large language models.
• OpenAI Account
• Serper Account