Library / Artificial Intelligence

Building AI Agent2Agent Protocol & Model Context Protocol

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About this course

This course contains the use of artificial intelligence

Disclosure: AI tools were used only to assist in creating the course outline and course thumbnail. All instructional content, explanations, and project walkthroughs were fully created manually by the instructor.

Welcome to Building AI Agent2Agent Protocol & Model Context Protocol course. This is a comprehensive project based course where you will learn how to build AI agents that are able to communicate with each other using A2A protocol and they are also able to interact with external tools using MCP. This course is a perfect combination between Python and agentic AI, making it an ideal opportunity to practice your programming skills while improving your technical knowledge in AI interoperability. In the introduction session, you will learn the basic fundamentals of agent to agent protocol, such as getting to know its use cases, communication elements, and understanding how it works. Then, in the next section, we will start the project by building two agents that are capable of performing web searches, reasoning, and making decisions autonomously. Firstly, we will create an agent card for each agent. These agent cards will enable other agents to discover their identities, understand their skills and capabilities, and determine how to communicate with them through the A2A protocol. Afterward, we will create and design the first agent, a market research agent. This agent will be able to conduct extensive market research by searching the web, gathering relevant information, analyzing market trends, and identifying potential opportunities. After that, we will create and design the second agent, a competitor analysis agent. This agent will be able to identify key competitors, analyze their products and services, evaluate their strengths and weaknesses, and identify unique selling points to differentiate a business from its competitors.

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