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LinkedIn – Build with AI: Agentic Applications with LlamaIndex and MCP 2026-2

Updated August 10, 2026 173 MB
LinkedIn – Build with AI: Agentic Applications with LlamaIndex and MCP 2026-2

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Description

Build with AI: Agentic Applications with LlamaIndex and MCP is a course combining LlamaIndex—a powerful framework for indexing and retrieving structured data—with the Model Context Protocol (MCP) published by LinkedIn Online Academy. This is a hands-on, project-based course that teaches you how to build intelligent, autonomous AI applications by combining LlamaIndex—a powerful framework for indexing and retrieving structured data—with the Model Context Protocol (MCP) to create agents that can reason, plan, and act on real-world tasks. You will learn how to structure and index diverse data sources, manage contextual and conversational memory, and design workflows where agents retrieve relevant information, make decisions, and interact with users or APIs in meaningful ways. This course covers the core concepts of agent architecture, rapid engineering, data embedding, vector search, and how to orchestrate multi-step logic using MCP to maintain consistency and reliability across sessions.

In this course, instructors Tuana Çelik and Joon-Pil Hwang cover the fundamentals of agent architectures and building custom workflows with LlamaIndex. Gain insights into how to integrate vector databases like Weaviate for knowledge storage and retrieval, as well as implementing role-based multi-agent systems. Along the way, Tuana and Joon-Pil also cover the Model Context Protocol (MCP), which can provide powerful integrations with other external data sources. By the end of this course, you will be equipped with the skills needed to build agent applications using enterprise-grade tools.

What you will learn in Build with AI: Agentic Applications with LlamaIndex and MCP:

  • Vector databases
  • Artificial intelligence software development
  • Artificial intelligence (AI)
  • and…

Course specifications

Publisher: LinkedIn
Instructors: Joon-Pil Hwang and Tuana Çelik
Language: English
Level: Intermediate
Number of Lessons: 10
Duration: 1h 48m

Course topics

Build with AI Agentic Applications with LlamaIndex and MCP Content

Build with AI: Agentic Applications with LlamaIndex and MCP Prerequisites

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