Building Multi Agent Systems with Strands Agents
- Description
- Curriculum
- Reviews
Building Multi Agent Systems with Strands Agents is a practical course that teaches learners how to design and develop intelligent AI systems where multiple agents collaborate to solve complex problems. Using the Strands Agents framework, learners explore how autonomous agents communicate, coordinate tasks, share information, and work together to achieve common goals.
The course introduces the fundamentals of Multi-Agent Systems (MAS), including agent communication, distributed decision-making, and collaborative problem-solving. Learners then explore advanced concepts such as Swarm Intelligence, where agents work collectively through decentralized coordination, and Agent Graphs, which organize agent interactions using structured workflows. The course also covers the Agents as Tools architecture, enabling agents to delegate tasks to specialized agents for greater efficiency and scalability.
Through practical examples and real-world use cases, learners gain experience building AI systems for automation, research assistance, workflow orchestration, and enterprise applications. By the end of the course, students will be able to create scalable Multi-Agent solutions that leverage collaboration, delegation, and intelligent coordination to solve complex business and technical challenges.
What You Will Learn
- Fundamentals of Multi-Agent Systems
- Agent communication and coordination
- Swarm Intelligence concepts
- Agent Graph workflows
- Agents as Tools architecture
- Task delegation and orchestration
- Distributed problem solving
- Building scalable AI systems
- Real-world Multi-Agent applications
Who Should Take This Course?
- AI Engineers
- Machine Learning Engineers
- Generative AI Developers
- Software Engineers
- AI Solution Architects
- Data Scientists
- LLM Application Developers
- AI Researchers
- Automation Engineers
- Developers interested in Agentic AI
- Professionals exploring Multi-Agent Systems
Prerequisites
- Basic Python programming knowledge
- Familiarity with Artificial Intelligence concepts
- Understanding of Large Language Models (LLMs) is helpful
- Interest in Agentic AI and workflow automation
- Basic software development experience
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1. Course IntroductionGet an overview of the course objectives, learning roadmap, and the exciting world of Multi-Agent Systems powered by Strands Agents.
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2. Introduction to Multi-Agent Systems
Learn the fundamentals of Multi-Agent Systems and understand how multiple intelligent agents collaborate to solve complex tasks more effectively than a single agent.
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3. Multi-Agent Systems with Swarm Intelligence
Discover how swarm intelligence enables multiple agents to work collectively, inspired by natural systems such as ant colonies, bird flocks, and bee swarms.
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4. Multi-Agent Systems with Agent Graph
Learn how agent graphs can be used to organize and manage interactions between multiple agents within a structured AI workflow.
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5. Multi-Agent System with a Agents as a Tools
Learn how agents can function as tools for other agents, enabling modular, reusable, and highly scalable Multi-Agent Systems.
North America
Digilancer, LLC
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New York, NY 10005
Europe
Digilancer LTD. (UK)
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Australia
Digilancer Pty Ltd
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Middle East
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22/23, Corniche Road
Phase 4, Bahria Town, 44000.
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