Agentic AI Build Intelligent AI Agents

About this course

Agentic AI with LLM and MCP for Beginners is a practical course designed to introduce you to the exciting world of AI agents, Large Language Models, and Model Context Protocol. This course is ideal for beginners who want to understand how modern AI systems can go beyond simple conversations and perform tasks, use tools, access information, and interact with external systems.

You will start by learning the fundamentals of Artificial Intelligence, Generative AI, Large Language Models, and Agentic AI. The course explains how LLMs work, how AI agents make decisions, and how multiple components can work together to build intelligent applications.

Next, you will explore the fundamentals of Model Context Protocol (MCP), an open protocol designed to help AI applications connect with external tools, resources, and data sources in a standardized way. You will learn the basic concepts of MCP servers, clients, tools, resources, and how they can be used with LLM-powered applications.

The course focuses on practical learning, helping you understand how to design simple AI agents that can reason through tasks, interact with tools, retrieve information, and generate useful responses. You will also learn about prompts, context management, tool calling, agent workflows, and integrating LLMs with external capabilities.

By the end of this course, you will have a strong foundation in Agentic AI, LLMs, and MCP and will be able to understand the architecture behind modern AI agent applications. Whether you are a student, developer, technology professional, or AI enthusiast, this course provides a beginner-friendly starting point for building your knowledge and progressing toward more advanced Agentic AI projects.

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.