Agent Communication Protocol: The REST API for AI Agents-ACP

Transform isolated AI agents into powerful collaborative teams with this comprehensive course on Agent Communication Protocol (ACP) and Model Context Protocol (MCP) integration. In today’s rapidly evolving AI landscape, agents built with different frameworks like LangGraph, CrewAI, and SmolAgent often operate in silos, unable to communicate effectively. This course breaks down those barriers by teaching you to build ACP-compliant systems that work like REST APIs for agent communication.

You’ll master the fundamentals of wrapping existing agents in ACP servers, enabling seamless interoperability across any framework or platform. Through hands-on projects, you’ll construct both linear and hierarchical multi-agent workflows, implement router agents for intelligent task delegation, and integrate MCP to provide your agents with powerful tool access capabilities. The course emphasizes practical application, teaching you to deploy discoverable agents that can automatically register their capabilities and coordinate complex tasks without human intervention.

Key learning outcomes include building ACP-compliant agent architectures, designing sophisticated multi-agent communication patterns, implementing dynamic agent discovery systems, and creating scalable workflows that adapt to changing requirements. You’ll explore real-world scenarios where specialized agents collaborate on complex problems, from automated content creation pipelines to cross-platform enterprise integrations.

By course completion, you’ll have created a comprehensive agent registry system, enabling easy sharing and discovery across development teams. You’ll understand how to leverage ACP’s open protocol design for flexible agent replacement, multi-agent collaboration, cross-platform integration, and even inter-company partnerships. This foundation prepares you to build the next generation of scalable, interoperable AI systems that transform how agents work together in production environments.

Perfect for developers, AI engineers, and system architects ready to move beyond single-agent solutions toward truly collaborative AI ecosystems.