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Agentic AI Protocols (MCP, A2A, ACP) · LearnSpace
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Agentic AI Protocols (MCP, A2A, ACP)

Курс от Coursera
Средний≈ 4.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Navigating Multi-Agent Communication Protocols is an intermediate-level course designed for AI engineers and system architects who need to build sophisticated multi-agent systems where effective communication and coordination are critical. In today's AI landscape, isolated agents are obsolete—success depends on seamless collaboration between multiple intelligent agents working toward shared objectives. This course provides comprehensive coverage of three essential communication protocols: Multi-Agent Communication Protocol (MCP) for standardized communication, Agent-to-Agent (A2A) for dynamic task coordination, and Agent Collaboration Protocol (ACP) for complex workflow orchestration. Through real-world case studies from organizations like Anthropic, Google, and IBM, hands-on implementation exercises, and practical design challenges, you'll learn to strategically select and integrate these protocols to solve complex coordination problems. Whether you're building autonomous systems, enterprise AI solutions, or collaborative AI applications, this course equips you with the knowledge and skills to transform chaotic agent interactions into orchestrated, efficient collaborations that deliver measurable business value.

Навыки, которые вы освоите

Model Context ProtocolAI IntegrationsPerformance Tuning

Программа курса

3 модулей · 23 учебных материалов

01Lesson 1: Understanding Multi-Agent Communication Protocol (MCP) Architecture and Components8 материалов
The Multi-Agent DilemmaDIALOGUEWelcome to the Course: Course OverviewЧтениеIntroduction and WelcomeВидеоMCP Fundamentals: Architecture and Core ComponentsВидео

Учитесь у экспертов

Harshita Gulati

Преподаватель курса

Agentic AI Protocols (MCP, A2A, ACP)
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 4.3 ч

3 модулей

Язык: Английский

Часть программы вашего университета
MCP Implementation Strategies and Best PracticesЧтение
When to Use MCP: Scenarios and Decision FrameworkВидео
HOL: Analyze MCP Architecture for a Given ScenarioЗадание
Reflecting on Your MCP Architecture AnalysisDIALOGUE
02Lesson 2: Implementing Agent-to-Agent (A2A) Protocols for Task Coordination6 материалов
A2A Protocol Fundamentals: Beyond Point-to-Point CommunicationВидеоA2A Implementation Patterns and Coordination StrategiesЧтениеTask Coordination Strategies: When Agents Need to Work TogetherВидеоPerformance Optimization in A2A SystemsВидеоHOL: Design A2A Task Coordination for Multi-Agent ScenarioЗаданиеReflecting on Your A2A Coordination DesignDIALOGUE
03Lesson 3: Evaluating Agent Collaboration Protocol (ACP) for Collaborative Execution9 материалов
ACP Fundamentals: Collaborative Execution at ScaleВидеоEnterprise ACP Implementation and Collaborative WorkflowsЧтениеEvaluating ACP for Complex Collaborative ScenariosВидеоACP Performance Optimization and Scalability StrategiesЧтениеHOL: Design Multi-Protocol Implementation PlanЗаданиеReflecting on Your Multi-Protocol Implementation StrategyDIALOGUECongratulations and Continuous Learning JourneyВидеоProject: Multi-Agent Protocol Implementation PlanЗаданиеAssessmentЗадание