Protocol

PluralSight – Agent-To-Agent Protocol 2026

PluralSight – Agent-To-Agent Protocol 2026
English | Tutorial | Size: 354.19 MB


Agents built on different frameworks can’t talk to each other without custom glue codes. This course teaches you to build, orchestrate, secure, and deploy A2A-compliant agents using the OpenAI Agents SDK, LangGraph, and CrewAI.

Pearson – Build AI Agents With Model Context Protocol MCP 2026

Pearson – Build AI Agents With Model Context Protocol MCP 2026
English | Tutorial | Size: 3.68 GB


Over 2 hours of video instruction
Just as HTTP is the universal standard to connect web clients and servers, and FTP is the universal standard to connect file client and servers, Model Context Protocol (MCP) is the standard to connect AI agent clients to AI Agent servers.

Linkedin Learning – Model Context Protocol-Advanced Topics By Anthropic

Linkedin Learning – Model Context Protocol-Advanced Topics By Anthropic
English | Tutorial | Size: 155.61 MB


This course examines advanced features and implementation patterns for Model Context Protocol (MCP) development, focusing on server-client communication, transport mechanisms, and production deployment considerations.

PluralSight – Introduction to Model Context Protocol (MCP) 2026

PluralSight – Introduction to Model Context Protocol (MCP) 2026
English | Tutorial | Size: 122.48 MB


AI integrations can be fragmented and hard to maintain. This course will teach you Model Context Protocol (MCP), the open standard for connecting AI to external tools and data.