What you will learn -

• Introduction to Multi-Agent Systems and Phidata Architecture
• Setting Up Your Development Environment for Phidata Multi-Agent Systems
• Understanding Agent Types and Their Roles in Phidata
• Building Your First Basic Agent Using Phidata Framework
• Implementing Communication Protocols Between Agents in Multi-Agent AI Systems
• Creating Task Distribution Systems for Multi-Agent Networks
• Developing Agent Memory and Knowledge Management Systems for Multi-Agent AI
• Implementing Natural Language Processing in Multi-Agent Systems
• Building Specialized Agents for Data Processing Tasks
• Designing Effective Agent Collaboration Patterns and Workflows in Generative AI Systems
• Creating Goal-Oriented Multi-Agent Systems in Generative AI
• Implementing Error Handling and Recovery in Multi-Agent Systems
• Building Robust Agent Monitoring and Logging Systems for Generative AI
• Enhancing AI Capabilities
• Implementing Security Measures in Multi-Agent Systems for Generative AI
• Creating Scalable Multi-Agent Architectures for Generative AI
• Developing Robust Agent Testing and Validation Frameworks for Generative AI
• Building Real-Time Multi-Agent Applications with Generative AI
• Optimizing Multi-Agent System Performance in Generative AI
• Deploying and Managing Multi-Agent Systems in Production