From the course: Hands-On AI: Building AI Agents with Model Context Protocol (MCP) and Agent2Agent (A2A)
Recommended next steps
From the course: Hands-On AI: Building AI Agents with Model Context Protocol (MCP) and Agent2Agent (A2A)
Recommended next steps
- [Instructor] We have reached the end of the course. By now, you have an understanding of how to use MCP and A2A to build agentic integrations and multi-agent systems. If you want to take your learnings even further, here are some recommendations for your learning journey. First, learn about how popular agentic frameworks like LongChain, LlamaIndex, AutoGen and CrewAI support MCP and A2A. Build an MCP server for one of your own organization's data sources. Integrated with a client agent, create a multi-agent system with A2A for your organization's use case. AA always intrigues me. I bet it intrigues you too. So let's keep exploring it and find better ways of extracting knowledge out of it.
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