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Course Outline
Introduction to Multi-Agent Systems
- Overview of agents, environments, and interaction models
- Cooperation, competition, and autonomy in agentic systems
- Applications in logistics, robotics, and decision-making
Core Concepts of Agent Architecture
- Reactive vs. deliberative agents
- Communication protocols and coordination models
- Knowledge representation and shared state
Implementing Agents in Python
- Building agents using the Mesa framework
- Modeling environments and interactions
- Simulating agent behavior and visualization
Coordination and Communication
- Message passing and shared memory architectures
- Negotiation, consensus, and task allocation
- Coordination algorithms (contract net, market-based, swarm models)
Learning and Adaptation in Multi-Agent Systems
- Reinforcement learning for multiple agents
- Cooperative vs. competitive learning dynamics
- Using PettingZoo and Stable-Baselines3 for MARL
Distributed Computing and Scaling
- Using Ray for distributed multi-agent simulations
- Managing concurrency and synchronization
- Parallelizing computation and handling shared resources
Human–Agent Collaboration
- Designing interfaces for human-in-the-loop coordination
- Hybrid workflows with AI-assisted decision support
- Ethical and operational considerations
Capstone Project
- Design and implement a multi-agent system in Python
- Demonstrate coordination and learning among agents
- Present simulation results and performance insights
Summary and Next Steps
Requirements
- Strong proficiency in Python programming
- Good understanding of reinforcement learning or AI agent design
- Familiarity with distributed systems and networking concepts
Audience
- System architects designing collaborative or distributed AI systems
- Researchers working on coordination and collective intelligence
- Engineers developing hybrid human–agent or multi-agent workflows
28 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €9120 online delivery, based on a group of 2 delegates, €2880 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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