Multi-agent collaboration
Multi-agent collaboration
Modules
7
Lessons
40
Course created by Mikias Abebe
Module 1
Foundations of Multi-Agent Systems
Understand the shift from monolithic architectures to multi-agent collaboration, focusing on task decomposition and system robustness.
Module 2
Agent Communication Models and Protocols
Explore the required communication protocols, shared ontologies, and various interaction models like Network, Supervisor, and Custom models.
Module 3
Core Interaction Patterns
Learn how to orchestrate agents using sequential handoffs, parallel processing, and the Critic-Reviewer pattern.
Module 4
Hierarchical and Specialized Structures
Dive into complex structures, exploring hierarchical systems and the Agent as a Tool paradigm.
Module 5
Building with the Crew AI Framework
Hands-on module covering the Crew AI framework, focusing on assigning roles, goals, backstories, and sequential execution.
Module 6
Orchestrating Workflows with Google ADK
Learn to natively facilitate hierarchical structures and iterative workflows using the Google ADK framework.
Module 7
Final Assessment
Comprehensive final assessment covering all topics in the Multi-agent collaboration course.