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Agentic AI with LangChain, LangGraph, MCP Server, and Client by Sahinul Haque

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Agentic AI with LangChain, LangGraph, MCP Server, and Client by Sahinul Haque

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Agentic AI with LangChain, LangGraph, MCP Server, and Client by Sahinul Haque

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LIVE

Wed, 4 Nov

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Agentic AI with LangChain, LangGraph, MCP Server, and Client

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20 Hours

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Course offered by Sahinul Haque

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Course Details — Artificial Intelligence / Agentic AI

What you will learn

This course is designed for B.Tech and B.E. students who want to move beyond AI theory and learn how modern AI applications are actually built.

We will learn Python, RAG, LangChain, and LangGraph step by step and use them together in a practical project.

Course Highlights

  • Python fundamentals required for AI application development.
  • Understanding how LLM-based applications work.
  • Introduction to RAG (Retrieval-Augmented Generation).
  • Working with LangChain.
  • Building workflows and agents using LangGraph.
  • Connecting different components to create an AI application.
  • Understanding how an AI system can work with your own knowledge/data.
  • Hands-on coding throughout the course.
  • Practical Customer Support Bot project.

Practical Project

The main focus of the course is a Customer Support Bot.

Instead of learning each technology separately, we will bring the concepts together and build the project step by step. This gives you an opportunity to understand how Python, RAG, LangChain, and LangGraph fit together in an actual AI application.

Who is this course for?

  • B.Tech / B.E. Computer Science students.
  • Students interested in Artificial Intelligence and Generative AI.
  • Students who want practical experience with Agentic AI.
  • Students who want to build an AI project for their learning portfolio.
  • Students who already know basic programming and want to explore modern AI application development.

My Teaching Approach

I prefer teaching by building and explaining along the way. I don't want students to simply copy code and complete a project. I focus on explaining what we are doing, why we are doing it, and how the different components work together.

The course is practical and step-by-step, with the goal of helping you become comfortable building AI applications yourself.

What you will have by the end

By the end of the course, you will have worked through a complete Customer Support Bot project and gained practical exposure to Python, RAG, LangChain, and LangGraph.

You don't need to know everything about AI before starting. We can build your understanding step by step.

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About the Trainer

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Sahinul Haque

BE Computer Science

20 Years of Experience

I have 21 years of experience in the IT industry, working across software development, backend and full-stack development, system architecture, and enterprise applications. I have worked on 30+ client projects and have experience with technologies including Python, AI, LangGraph, LangChain, FastAPI, Node.js, PHP, Drupal, Angular, React, MySQL and MongoDB. I enjoy mentoring students and working professionals through practical, project-based learning, with a focus on understanding concepts clearly and applying them to real-world development.

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