Build with AI Agentic Applications with LlamaIndex and MCP

Learn how to build multiagent applications using production-grade tooling, including LlamaIndex, Weaviate, and Model Context Protocol (MCP).
Course details
Learn how to build agentic applications that can intelligently orchestrate multiple AI agents to work with distributed knowledge sources. In this course, instructors Tuana Çelik and Joon-Pil Hwang cover the fundamentals of agentic architectures and building custom workflows with LlamaIndex. Gather insights on how to integrate vector databases like Weaviate for knowledge storage and retrieval, as well as implement role-based multiagent systems. Along the way, Tuana and Joon-Pil also dive into Model Context Protocol (MCP), which can provide powerful integrations with other external data sources. By the end of this course, you'll be equipped with in-demand skills to build agentic applications using enterprise-grade tooling.This course is integrated with GitHub Codespaces, an instant cloud development environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you'll likely encounter in the workplace.
Skills covered
AI Software Development, Vector Databases, Artificial Intelligence (AI)

Homepage

https://www.linkedin.com/learning/build-with-ai-agentic-applications-with-llamaindex-and-mcp

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