Multi-Agent Systems Courses and Certifications

Why Would We Want a Multi-Agent System Unstable

Explores Control Barrier Function methods for collision avoidance in multi-agent systems, comparing stability and effectiveness of different algorithms through simulations and vehicle experiments.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Multi AI Agent Systems with crewAI

43 ratings at Coursera

Learn to design and organize AI agent teams for complex tasks using crewAI. Master role-playing, memory, tools, focus, guardrails, and cooperation to automate business processes effectively.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

AI Agentic Design Patterns with AutoGen

Learn to build and customize multi-agent systems using AutoGen. Create collaborative agents for tasks like comedy chats, customer onboarding, blog writing, chess games, and financial analysis coding.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Association for Computing Machinery (ACM)

AI- From Algorithms to Ethics - ACM WomENcourage 2020

Explore AI agents designed for human interaction, combining machine learning, behavioral models, and game theory. Learn about applications in emergency triage and evaluation methodologies.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Alan Turing Institute

The Role of Multi-Agent Learning in Artificial Intelligence Research at DeepMind

Explore multi-agent learning in AI research, focusing on cooperation among self-interested agents and the AlphaGo project's breakthrough in defeating top Go players using self-play algorithms.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Natasha Jaques - Social Reinforcement Learning - IPAM at UCLA

Explore social reinforcement learning, multi-agent RL, and environment generation for AI assistants. Discover techniques for generalization, transfer, and web navigation in intelligent systems.

• YouTube
• 28 minutes
• On-Demand
• Free Video

How to Build a Multi-Agent AI System Using Large Language Models

Learn to create specialized AI agents using Large Language Models for task automation, from task creation to keynote speech generation.

• YouTube
• 19 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Swarm Performance of Heterogeneous Multi-Agent Systems Across Scales

Explore swarm behavior in multi-agent systems, focusing on heterogeneity's impact on micro-scale interactions and macro-scale performance across various domains like transportation and disaster response.

• YouTube
• 57 minutes
• On-Demand
• Free Video

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Collaborative Multi-Agent LLMs for Mixed-Autonomy Traffic - CoMAL Framework

Explore how CoMAL framework enables autonomous vehicles to collaborate through LLM-powered reasoning, role assignment, and real-time coordination for safer and more efficient mixed-autonomy traffic systems.

• YouTube
• 25 minutes
• On-Demand
• Free Video

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Task-Optimized Multi-Agent Communication Protocols with G-Designer

Explore the G-Designer framework for optimizing multi-agent AI communication through Graph Neural Networks, focusing on efficiency, scalability, and robust topology design.

• YouTube
• 49 minutes
• On-Demand
• Free Video

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Multi-Agent Orchestration System Design and Implementation

Dive into OpenAI's multi-agent orchestration system, exploring how routines, tools, and handoffs enable dynamic AI interactions for customer service and sales automation through practical code implementation.

• YouTube
• 21 minutes
• On-Demand
• Free Video

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AGENTiGraph: Integrating LLM-based Multi-Agent Systems with Knowledge Graphs

Explore how AGENTiGraph combines seven specialized AI agents with knowledge graphs to enhance LLM capabilities, focusing on entity mapping, reasoning, and complex query handling.

• YouTube
• 24 minutes
• On-Demand
• Free Video

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AI Swarm Intelligence: Multi-Agent Ecosystem for Decentralized Autonomous Systems

Explore swarm intelligence and multi-agent reinforcement learning systems, focusing on decentralized control, asynchronous decision-making, and real-world applications in urban environments and drone networks.

• YouTube
• 58 minutes
• On-Demand
• Free Video

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Multi AI-Agents Reasoning with LLMs - Python Code Examples

Master the creation and implementation of multi-agent LLM systems in Python, from basic agent coding to complex hierarchical reasoning structures using GPT-4, including practical examples and real-world applications.

• YouTube
• 41 minutes
• On-Demand
• Free Video

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Strategic Deviations in Multi-Agent Imitation Learning: From Value Optimization to Regret Analysis

Delve into the complex dynamics of multi-agent AI systems, exploring strategic deviations, regret gaps, and equilibrium concepts in imitation learning through practical applications and mathematical frameworks.

• YouTube
• 38 minutes
• On-Demand
• Free Video