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, and decision-making.…
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.
Understanding Multi-Agent Systems –
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
Agent Communication & Coordination – Learn how agents collaborate, negotiate, and coordinate tasks efficiently in a distributed environment.
Practical Implementation
Practical Implementation with CrewAI – Develop hands-on experience in designing, deploying, and optimizing multi-agent systems using AI frameworks like CrewAI.
Building Efficient Systems –
Building Efficient Systems – Understand how to enhance multi-agent system performance through role specialisation, tool integration, and memory optimization.
02 · Curriculum
What's in the course.
7 modules · 21 lectures · 140 min of sessions
01 · 42m02 · 16m03 · 21m04 · 19m05 · 6m06 · 36m
Each block is one module, sized by session length.
Getting Started with AI Agents: A Beginner’s Guide14m
CrewAI Explained: Introduction of CrewAI5m
How CrewAI Works: A Deep Dive8m
Understanding CrewAI with a Use CaseReading
Creating Agent : Agent for writing a research article15m
04 · Is it for you?
Who it's for, and what to bring.
Built for
Intermediate to Advanced
Bring with you
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 · FAQ
Before you enrol.
Each of the 7 modules is a recorded live session, with readings from that session. Watch at your own pace.
$49.99
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