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.
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 tools and building blocks that can help developers create useful LLM-powered applications and workflows.
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.
What You’ll Learn in 90 Minutes
- What is Generative AI? What is an LLM?
- How do LLM-powered applications work? Examples of LLM applications
- What is LangChain? Why is LangChain useful?
- Where does LangChain fit into an AI application?
- Models, Prompts, and Chains — explained simply
- What are prompt templates? Why are reusable prompts useful? Simple examples
- What is a chain? How can multiple AI steps be connected? Simple workflow examples
- What are tools? Why might an AI application need tools? Simple examples: calculators, search, APIs, databases
See LangChain in Action
The trainer will build a simple LLM-powered application during the webinar — an AI Content Assistant that can take a topic and generate useful content using an LLM.
Example Topic
“Benefits of AI in Corporate Training”
No complicated project. No advanced architecture. Just a simple introduction to how LangChain works.
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:
Audience: {audience}
Tone: {tone}
Connect Multiple AI Steps
A chain allows multiple steps to be connected into a workflow.
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.
Who Should Attend
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
Where Can LangChain Be Used?
Meet Your Trainer
Frequently Asked Questions
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