This course provides an in-depth, practical guide to designing, configuring, and managing Multi-Agent Systems (MAS) using CrewAI. Participants will explore how to create dynamic, collaborative agent teams capable of solving complex, distributed problems. The course emphasizes key design patterns, architecture best practices, inter-agent communication, delegation, and real-world applications using Large Language Models (LLMs).

Welcome to the official Building Multi-Agent Systems with CrewAI Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in UK. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

• Basic knowledge of Python programming

• Familiarity with Large Language Models (LLMs) like OpenAI GPT, Claude, or Gemini

• Understanding of Prompt Engineering principles

• (Optional) Basic awareness of distributed systems and workflow automation

• Multi-Agent System (MAS) design and deployment

• Advanced agent role definition and task management

• Crew management, task delegation, and role coordination

• Inter-agent communication handling

• Building scalable and resilient AI systems

• CrewAI integration with external APIs and services

Upon completing the course, participants will be able to:

• Architect and build scalable Multi-Agent Systems using CrewAI

• Define distinct agent roles, goals, and behaviors

• Implement complex task workflows with effective delegation and collaboration

• Integrate agents with APIs, databases, and external systems

• Monitor, optimize, and troubleshoot multi-agent orchestration