Foundations of Model Context Protocol

  • IntermediateLevel

  • 458+Students Enrolled

  • 30 MinsDuration

  • 4.8Average Rating

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About this Course

  • Understand the foundations of Model Context Protocol (MCP) with a 3-minute introductory video, ideal for beginners to get a quick overview of the concept.
  • Learn through real-world demonstrations and hands-on tasks that will help you gain practical experience in applying MCP in various scenarios.
  • Test your knowledge with a short quiz after completing the lessons, reinforcing key concepts and ensuring you're ready to move on to advanced topics.

Learning Outcomes

Master MCP

Learn the core concepts and purpose of Model Context Protocol.

Build Utility Tools

Create tools like leave lookup and file counters using MCP logic.

Apply Real-World MCP

Learn to add local file access and smart chat features to apps.

Who Should Enroll

  • Developers exploring how to integrate smart tools and local file access into desktop applications.
  • AI and automation enthusiasts interested in enhancing LLMs like Claude with practical Python tools.
  • Learners keen to apply the Model Context Protocol (MCP) to build real-world, utility-driven features.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

tools

  1. 1. Introduction to MCP

  2. 2. Demonstration of MCP

  3. 3. Hands on: Task 1

  4. 4. Hands on : Task 2

  5. 5. Let's Test the Understanding

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Apoorv Vishnoi

Training Head, Analytics Vidhya

Apoorv is a seasoned AI professional with over 14 years of experience. He has founded companies, worked at start-ups and mentored start-ups at incubation cells.

Get this Course Now

With this course you’ll get

  • 30 Mins

    Duration

  • Apoorv Vishnoi

    Instructor

  • Intermediate

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility
certificate

Frequently Asked Questions

Looking for answers to other questions?

MCP is a framework for building AI agent workflows in Python by leveraging contextual data from various sources to automate tasks.

With the rapid growth of AI applications, MCP provides a robust method to incorporate contextual data—such as file content and local interactions—into automated workflows. Its ability to enhance AI agent performance makes it a compelling tool for modern developers.

The course delves into the fundamentals of MCP, its integration with tools like Claude, and hands-on tutorials to build real-world applications. You’ll learn to automate tasks like customized greetings, desktop decluttering, local conversation saving, and more.

A foundational understanding of Python and basic AI concepts is recommended. However, the course begins with the core principles of MCP to ensure everyone can follow along.

Yes, you will receive a certificate of completion after successfully finishing the course and assessments.

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