Get in Touch

Course Outline

Introduction to Multi-Agent Systems

  • Defining multi-agent systems and their practical applications
  • The role of Agentic AI in autonomous agent interactions
  • Challenges inherent in multi-agent coordination

Developing Agentic AI for Multi-Agent Environments

  • Designing autonomous AI agents
  • Strategies for agent communication and decision-making
  • Utilizing simulation environments for multi-agent AI development

Reinforcement Learning for Agentic AI

  • Applying reinforcement learning methodologies to multi-agent systems
  • Training autonomous agents to exhibit adaptive behavior
  • Balancing exploration and exploitation in decision-making processes

Collaboration and Competition in Multi-Agent Systems

  • Strategies for cooperative AI agents
  • Competitive and adversarial interactions among AI systems
  • Understanding emergent behaviors in multi-agent environments

Agentic AI in Robotics and Automation

  • Multi-agent coordination techniques in robotics
  • Swarm intelligence and decentralized decision-making models
  • Case studies highlighting robotic AI applications

Agentic AI in Game Development

  • Designing AI-driven NPCs within multi-agent simulations
  • Behavior modeling for interactive AI agents
  • Implementing real-time AI decision-making in dynamic environments

Scaling Multi-Agent AI Systems

  • Performance optimization for large-scale AI interactions
  • Managing agent hierarchies and role-based decision structures
  • Integrating AI agents with cloud-based infrastructures

Future of Multi-Agent Systems with Agentic AI

  • Emerging trends in autonomous AI collaboration
  • Enhancing multi-agent AI capabilities through deep learning
  • Ethical and regulatory considerations for multi-agent AI deployment

Summary and Next Steps

Requirements

  • Prior experience in AI model development
  • Solid understanding of multi-agent system concepts
  • Familiarity with reinforcement learning and AI-driven automation techniques

Target Audience

  • AI researchers investigating autonomous agent interactions
  • Robotics engineers focused on multi-agent coordination designs
  • Game developers implementing AI-driven NPC behaviors
 14 Hours

Number of participants


Price per participant

Testimonials (1)

Provisional Upcoming Courses (Require 5+ participants)

Related Categories