hands-on-ai-building-ai-agents-with-model-context-protocol-mcp-and-agent2agent-a2a-6055298

LinkedInLearning
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this repo is for linkedin learning course: Hands-On AI: Building AI Agents with Model Context Protocol (MCP) and Agent2Agent (A2A)

Overview

What is hands-on-ai-building-ai-agents-with-model-context-protocol-mcp-and-agent2agent-a2a-6055298

hands-on-ai-building-ai-agents-with-model-context-protocol-mcp-and-agent2agent-a2a-6055298 is a repository for a LinkedIn Learning course that focuses on building AI agents using the Model Context Protocol (MCP) and Agent2Agent (A2A) communication frameworks.

How to Use

To use this course, enroll through LinkedIn Learning, access the materials provided in the repository, and follow along with the instructor Kumaran Ponnambalam as he guides you through the concepts and practical applications of MCP and A2A.

Key Features

Key features include an introduction to MCP architectures, tools for building context-aware AI agents, hands-on experience with multi-agent ecosystems, and practical applications of A2A communication.

Where to Use

This course is applicable in fields such as artificial intelligence, software development, and any domain requiring collaborative AI systems that can understand and utilize contextual information.

Use Cases

Use cases include developing intelligent chatbots, creating collaborative AI systems for data analysis, and building interconnected agents for various applications in industries like finance, healthcare, and customer service.

Content