Udemy

AI fundamentals for Beginners - Learn LLM, Agentic AI, MCP

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  • 2,911 Students
  • Updated 3/2026
4.6
(272 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 0 Minute(s)
Language
English
Taught by
Himanshu Rana
Rating
4.6
(272 Ratings)

Course Overview

AI fundamentals for Beginners - Learn LLM, Agentic AI, MCP

From Zero to AI-Ready 2026: Learn from scratch about Generative AI, LLMs, Prompt Engineering, RAG, MCP and AI Agents

Artificial Intelligence is no longer just for researchers and data scientists. Tools powered by Generative AI and Large Language Models (LLMs) are rapidly becoming part of everyday work—from writing and research to automation and intelligent agents.

This course is a beginner-friendly, hands-on introduction to modern AI, designed to help you understand how today’s AI systems work and how to use them effectively—even if you have no prior AI or machine learning background.

You’ll start with the core foundations of Generative AI, learn how LLMs think and respond, master prompt engineering, and then move into practical, real-world concepts like Retrieval-Augmented Generation (RAG), AI agents, and the Model Context Protocol (MCP)—the emerging standard for connecting models with tools and systems.


By the end of the course, you won’t just know about AI—you’ll know how to work with it.

**Note: Built especially for beginners, this course delivers a solid foundation without overwhelming you with advanced concepts — keeping your learning simple, practical, and to the point.


How This Course Will Help You:

After completing this course, you will be able to:

  • Clearly explain how modern AI and LLM-based systems work

  • Write effective prompts and interact confidently with AI tools

  • Understand RAG and Agentic RAG, and what problem they solve

  • Understand how AI agents and MCP-powered systems are built

  • Make informed decisions when using or building AI-powered products

  • Build a strong foundation that will help you to move into advanced AI, agents, or application development

Whether your goal is learning, building, teaching, or leading AI initiatives, this course gives you the mental model you need.

Course Content

  • 7 section(s)
  • 37 lecture(s)
  • Section 1 Getting first hand taste of Generative Ai on your local Machine
  • Section 2 Fundamentals of Generative AI & LLMs
  • Section 3 Art of Prompt Engineering: Understanding And Crafting good Prompts
  • Section 4 Agentic AI Fundamentals and Development
  • Section 5 Understanding and Implementing Agentic RAG
  • Section 6 Fundamentals of Model Context Protocol (MCP) and Use
  • Section 7 Conclusion

What You’ll Learn

  • Fundamentals of Generative AI and how it differs from traditional AI, How Large Language Models (LLMs) work at a high level (without heavy math), Prompt Engineering techniques to get better, more reliable AI outputs, How AI systems use context, memory, and tools, Building AI agents in AWS Bedrock Agent that can work autonomously, Building own MCP server, Model Context Protocol (MCP) – how models securely connect to tools, data, and services, Using 3rd party MCP servers to connect to external systems, Working with open source model locally on your own machine, Building RAG based chatbots using Langflow


Reviews

  • H
    Haris Aji
    5.0

    I got basic knowledge about Agentic AI and MCD well. This course is helpful.

  • R
    Rajiv Sinha
    4.5

    this course is owesome and providing the fundation for AI.

  • R
    Ranajit Pan
    5.0

    Very good course to understand the AI basic and its framework.

  • S
    Saravanan Durairajan
    4.0

    The session gets discusses basic terms and is able to introduce Gen AI and agents

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