03 — Curriculum
Course content
7 sections · 21 lectures
ADaSci Academy
Building Multimodal Multi-Agent Systems with CrewAI
This course focuses on the study of systems where multiple intelligent agents interact, collaborate, or compete to achieve goals. It covers key concepts such as agent communication, coordination, negotiation, learning, a…
4,950+ enrolled
4 hours
Intermediate
01 — Overview
About this course
This course focuses on the study of systems where multiple intelligent agents interact, collaborate, or compete to achieve goals. It covers key concepts such as agent communication, coordination, negotiation, learning, and decision-making.
The course explores real-world applications in designing and implementing multi-agent solutions for complex problems.
02 — Outcomes
What you'll learn
✓
Understanding Multi-Agent Systems – Gain a solid foundation in the concepts, characteristics, and types of agents, including their interactions and decision-making processes. ✓
Agent Communication & Coordination – Learn how agents collaborate, negotiate, and coordinate tasks efficiently in a distributed environment. ✓
Practical Implementation with CrewAI – Develop hands-on experience in designing, deploying, and optimizing multi-agent systems using AI frameworks like CrewAI. ✓
Building Efficient Systems – Understand how to enhance multi-agent system performance through role specialisation, tool integration, and memory optimization.04 — Prerequisites
Requirements
- The course "Multi-Agent System" focuses on the study of systems where multiple intelligent agents interact, collaborate, or compete to achieve goals. It covers key concepts such as agent communication, coordination, negotiation, learning, and decision-making. The course explores real-world applications in designing and implementing multi-agent solutions for complex problems.
05 — Audience
Who should take this course
- Intermediate to Advanced
$49.99
Member Pricing
FREE with Premium
50% off with General
Duration4h
LevelIntermediate
CertificateYes
$49.99