Webinars/Introduction to LangChain
Free Live Webinar · Beginner Friendly

Introduction to LangChain

Getting Started with LLM-Powered Applications

Join us for a 90-minute beginner-friendly introduction to LangChain. Understand the basics of building applications using Large Language Models, and see a simple LLM-powered application built through a live demonstration.

22 Oct 2026 (Thu)11:00 AM – 12:30 PM ISTLive OnlineBeginner LevelFree
Duration
90 Minutes
Format
Live Online Webinar
Level
Beginner
Mode
Live Demo + Interaction
India (IST): 11:00 AM – 12:30 PM UAE / Gulf (GST): 9:30 – 11:00 AM Saudi Arabia (AST): 8:30 – 10:00 AM Singapore / Malaysia / Philippines (SGT/MYT/PST): 1:30 – 3:00 PM

Why Learn About LangChain?

Generative AI and Large Language Models are changing how applications are built. But building an application around an LLM involves more than simply sending a question to an AI model. LangChain provides building blocks for working with models, prompts, tools and application logic, helping developers move from isolated AI interactions toward structured LLM-powered applications and workflows.

From Using AI to Building with AI

The shift is simple: instead of only asking an AI tool a question, developers can start designing an application around the model — with reusable prompts, defined steps and connections to other capabilities.

Connect

Bring models, prompts and application logic together.

Structure

Turn individual AI interactions into repeatable workflows.

Extend

Connect applications with tools such as APIs, search or databases.

Build

Create a foundation for useful LLM-powered applications.

LangChain in Simple Words

  • LangChain is a framework for building applications powered by language models.
  • It helps developers connect LLMs with prompts, application logic and other capabilities.
  • It can be used to create different types of AI-powered applications.
  • It is useful for developers who want to move from simply using AI tools to building applications with LLMs.
User → Application → LangChain → LLM → Response

What You’ll Learn in 90 Minutes

1
🤖 Generative AI & LLM Basics
  • What is Generative AI? What is an LLM?
  • How do LLM-powered applications work? Examples of LLM applications
2
🔗 Introduction to LangChain
  • What is LangChain? Why is LangChain useful?
  • Where does LangChain fit into an AI application?
3
🧩 Basic LangChain Building Blocks
  • Models, Prompts, and Chains — explained simply
4
📝 Prompt Templates
  • What are prompt templates? Why are reusable prompts useful? Simple examples
5
🔄 Simple Chains
  • What is a chain? How can multiple AI steps be connected? Simple workflow examples
6
🔧 Introduction to Tools
  • What are tools? Why might an AI application need tools? Simple examples: calculators, search, APIs, databases

See LangChain in Action

LIVE DEMO

Build a Simple LLM-Powered Application

The trainer will build a simple AI Content Assistant during the webinar — showing how a user input can move through a prompt, LangChain and an LLM to produce a useful response.

Example Topic

“Benefits of AI in Corporate Training”

Topic→Prompt Template→LangChain→LLM→Generated Content

No complicated project. No advanced architecture. The goal is to make the core idea easy to see and understand.

Make Your Prompts Reusable

Prompt templates allow developers to create reusable instructions rather than writing a completely new prompt every time.

A simple prompt template example:

Topic: {topic}
Audience: {audience}
Tone: {tone}

Connect Multiple AI Steps

A chain allows multiple steps to be connected into a workflow.

Topic→Generate Content→Summarise→Create a Short Post

What If the AI Needs More Than Its Own Knowledge?

Applications can sometimes connect an LLM with external tools — such as a calculator, search, database, or API.

User→LLM→Tool→Result→Response

Who Should Attend

Python DevelopersSoftware DevelopersData ProfessionalsAI/ML BeginnersTechnology ProfessionalsStudentsLLM Application Curious

No prior LangChain experience required. Basic programming/Python knowledge is helpful, but the session is designed to be accessible to beginners.

By the End of the Webinar, You’ll Understand

  • What Generative AI and LLMs are
  • What LangChain is
  • Why developers use LangChain
  • What models, prompts and chains mean
  • How prompt templates work
  • How simple AI workflows can be connected
  • What tools are and why AI applications may use them
  • Where LangChain can be used

90-Minute Agenda

0:00 – 0:05
Welcome & Interactive Poll
0:05 – 0:15
Generative AI & LLM Basics
0:15 – 0:25
What is LangChain?
0:25 – 0:35
Basic LangChain Building Blocks
0:35 – 0:55
Live Demo: Build a Simple LLM Application
0:55 – 1:05
Prompt Templates
1:05 – 1:15
Simple Chains
1:15 – 1:22
Introduction to Tools
1:22 – 1:27
Real-World Use Cases
1:27 – 1:30
Recap & Q&A

Where Can LangChain Be Used?

💬 AI Chatbots📝 Content Assistants📄 Document Assistants🎧 Customer Support Applications🔍 Research Assistants🏢 Internal AI Assistants

Meet Your Trainer

Saket Karnik
Saket Karnik
Technical Director & Corporate IT Trainer
Saket Karnik is a Technical Director with over 25 years of experience in software development and corporate IT education. He has delivered more than 1,000 corporate trainings and 500+ workshops for organizations including Microsoft IDC, Accenture, Capgemini, TCS, and Harman Connected Services, with a strong background in Azure, .NET, and Microsoft Copilot for Developers. He holds a Master’s degree in Computer Applications and is a Microsoft Certified Trainer (MCT).
Microsoft Certified Trainer (MCT)Master’s in Computer Applications1,000+ Corporate Trainings Delivered

Want Your Development Teams to Build with LLMs?

A free webinar can introduce the concepts. Structured corporate training can take teams further — from LLM fundamentals to LangChain, RAG, AI agents and production-oriented Generative AI applications.

Developer UpskillingGenerative AI for TeamsLangChain & LLM EngineeringCustom Corporate Programs
Explore Corporate AI Training

What This Webinar Does — and Doesn’t — Cover

This session covers the foundationsLLMs, LangChain, prompts, chains, simple workflows and tools, with a live application demonstration.
Advanced topics are a separate learning stepAI agents and advanced RAG are outside this introductory webinar. For a deeper agent-building session, explore the upcoming LangGraph webinar.
Explore LangGraph

Frequently Asked Questions

Is this webinar suitable for beginners?
Yes. It is designed as an introductory session.
Do I need prior LangChain experience?
No.
Do I need programming knowledge?
Basic Python/programming knowledge is helpful.
Will there be a live demonstration?
Yes. A simple LLM-powered application will be demonstrated live.
Will this be an advanced LangChain session?
No. The webinar focuses on basic concepts and simple examples.
Will the webinar cover AI Agents or advanced RAG?
No. These are outside the scope of this introductory session.
Is this a LangChain certification webinar?
No. This is a free learning webinar designed to introduce LangChain and help participants understand the foundations of LLM-powered application development.
Is the live demo suitable for someone completely new to LangChain?
Yes. The demonstration is intentionally based on a simple application flow so beginners can see how the pieces fit together.

Register Now

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Date22 Oct 2026 (Thu)
Time (IST)11:00 AM – 12:30 PM
FormatLive Online
FeeFree

Curious About Building with LLMs? Start Here.

Get introduced to LangChain, understand its basic building blocks and see how a simple LLM-powered application can be created. 90 Minutes | Beginner Friendly | Live Online

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