Building Multi Agent Systems with Strands Agents
AdvancedLevel
264+Students Enrolled
2 Hrs Duration
4.7Average Rating

About this Course
- Learn to design scalable multi-agent systems in AI using Strands Agents SDK for collaboration, communication, and orchestration.
- Explore swarm intelligence and graph-based patterns with real Strands Agents examples to build adaptive AI networks.
- Understand agent communication, coordination, and decision-making through this multi-agent systems course.
- Learn how to build AI agents as reusable tools that invoke and collaborate with one another.
- Discover how Strands Agents SDK course enables emergent behaviors and parallel processing at scale.
Learning Outcomes
Agent Communication
Learn how agents exchange data and coordinate actions.
Swarm Parallelism
Design parallel agent groups for faster, scalable processing.
Graph Coordination
Build agent graphs to manage complex task dependencies.
Who Should Enroll
- Developers exploring multi-agent systems in AI and collective intelligence design.
- Software engineers who want to learn how to build AI agents and scalable workflows.
- AI/ML professionals seeking a structured multi-agent system tutorial for applied learning.
- Technical product teams integrating Strands Agents SDK for orchestration and coordination.
Course Curriculum
This multi-agent systems course helps you design collaborative agent frameworks using Strands Agents SDK. Learn swarm and graph coordination, reusable agents-as-tools, and workflow orchestration through real Strands Agents examples.
1. Course Introduction
2. Introduction to Multi-Agent Systems
3. Multi-Agent Systems with Swarm Intelligence
4. Multi-Agent Systems with Agent Graph
5. Multi-Agent System with a Agents as a Tools
Meet the instructor
Our instructor and mentors carry years of experience in data industry
Get this Course Now
With this course you’ll get
- 2 Hours
Duration
- Laura Salinas
Instructor
- Advanced
Level
Certificate of completion
Earn a professional certificate upon course completion
- Industry-Recognized Credential
- Career Advancement Credential
- Shareable Achievement

Frequently Asked Questions
Looking for answers to other questions?
A multi-agent system is a network of autonomous AI agents. These agents communicate and cooperate to solve complex tasks together. This collective approach achieves much higher scalability and adaptability than a single AI model working alone.
Swarm intelligence models collective behavior from nature. Many simple agents cooperate by following local rules. This cooperation produces an emergent global intelligence. It is similar to the behavior seen in ant colonies or bee swarms.
This is an intermediate level course. It is ideal for you if you already understand basic AI workflows. The course focuses on moving you toward building scalable multi agent architectures for more complex applications.
Graph based coordination enables flexible task routing between agents. It improves overall system efficiency by connecting actions through their dependencies. This method is more dynamic and effective than using rigid, hierarchical structures for agent management.
You will learn about the Strands Agents SDK and swarm intelligence. The course covers workflow orchestration and agent graphs. It also includes practical Strands Agents examples to ensure you gain hands on implementation skills.
Yes. You will learn to build AI agents from scratch. The course then teaches you how to integrate them into collaborative teams. Finally, you will orchestrate their collaboration for effective multi agent problem solving.
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