Free Download Agent Communication Protocol The REST API for AI Agents-ACP
Published 8/2025
Created by Rahul Raj
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 155 Lectures ( 15h 59m ) | Size: 8 GB
Make LangGraph, CrewAI, SmolAgent ,MCP communicate seamlessly - Master ACP servers for multi-agent LLM collaboration
What you'll learn
Build ACP-compliant agent servers that wrap LangGraph, CrewAI & SmolAgent for universal communication
Master REST-based agent communication patterns for building scalable, interoperable multi-agent systems
Integrate MCP to give agents real-time tool access and external data source connectivity capabilities
Implement agent discovery systems and registries for seamless sharing and collaboration across teams
Design linear and hierarchical multi-agent workflows with router agents for intelligent task delegation
Requirements
Python
Description
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.
Who this course is for
Agentic AI
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