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Offered By: IBMSkillsNetwork

Specialized CrewAI Agent Workflows: Task-Centric Tooling

Build specialized AI Agent workflows with task-centric tooling using CrewAI. Apply in-demand skills to solve real-world challenges with AI, leveraging LLMs. Create and orchestrate AI agents, work with databases, and refine prompt engineering for a customer service chatbot used by a restaurant. This hands-on project is a necessity for all software engineers and machine learning engineers seeking to level-up their skills and it takes only 30 minutes!

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Guided Project

Artificial Intelligence

At a Glance

Build specialized AI Agent workflows with task-centric tooling using CrewAI. Apply in-demand skills to solve real-world challenges with AI, leveraging LLMs. Create and orchestrate AI agents, work with databases, and refine prompt engineering for a customer service chatbot used by a restaurant. This hands-on project is a necessity for all software engineers and machine learning engineers seeking to level-up their skills and it takes only 30 minutes!

In today's rapidly evolving AI landscape, understanding how to strategically orchestrate AI agents is crucial for software engineers and machine learning practitioners. Most developers struggle with building efficient, predictable multi-agent systems because they rely on the standard "agent-centric" approach, where agents must constantly decide which tools to use—leading to inefficient workflows. This project offers you a unique opportunity to master a more advanced "task-centric" approach that creates focused, deterministic workflows by assigning specific tools directly to the tasks that need them. By completing this guided project, you'll gain practical experience in building sophisticated AI systems while learning the architectural patterns that separate amateur implementations from professional-grade solutions.

Who Should Enroll

  • University students and Entry-Level Software Engineers wanting to learn fundamental tooling techniques with AI agents
  • AI Engineers and Developers seeking to build more efficient and predictable multi-agent systems using CrewAI
  • Businesses who want to build chatbots and customer service automation systems

Why Enroll

This hands-on project delivers cutting-edge skills in AI agent orchestration that are increasingly demanded in the technology sector. In just 30 minutes, you'll master a sophisticated architectural pattern that most developers never learn—the strategic difference between giving tools to agents versus assigning tools to specific tasks. The course provides clear, practical demonstrations of both approaches, allowing you to understand when and why to use each method. By the end, you'll have both the theoretical understanding and practical implementation skills to build production-grade multi-agent systems that are more efficient, maintainable, and predictable than standard approaches.

A Look at the Project Ahead

Upon completing this 30-minute intermediate-level lab, you will be able to:
  • Build a customer service chatbot using CrewAI's multi-agent workflow system
  • Master the fundamental difference between agent-centric and task-centric tool assignment approaches
  • Create more efficient AI workflows by strategically assigning tools directly to specific tasks rather than agents
  • Design predictable, maintainable multi-agent systems that eliminate tool selection ambiguity and improve performance

What You'll Need

Let your learners know what technology and skills they'll need prior to starting this guided project. Remember that the IBM Skills Network Labs environment comes with many things pre-installed (e.g. Docker) to save them the hassle of setting everything up. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.

Estimated Effort

30 Minutes

Level

Beginner

Skills You Will Learn

Agentic RAG, Artificial Intelligence, CrewAI, Generative AI, Python

Language

English

Course Code

GPXX0E02EN

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