Build This AI App in 2 Hours Using Amazon Bedrock and LangChain

Pushkar Nandgaonkar
May 6
3 min read

Are you a student looking to build a powerful, real-world AI application but don’t know where to start? What if we told you that you could create one in just a couple of hours—with no need to train any machine learning models? Welcome to the world of Amazon Bedrock and LangChain, where building intelligent applications becomes fast, fun, and accessible.

In this blog, we’ll walk you through a beginner-friendly project that combines these cutting-edge tools to build an AI chatbot or summarizer. Perfect for your final year project or a portfolio boost, this tutorial is designed to help you learn by doing.

What Problem Are We Solving?

AI is everywhere, but most students struggle to get started. The usual problems?

Lack of machine learning knowledge
Fear of complex infrastructure
Difficulty connecting AI models to real-time applications

That’s where Amazon Bedrock and LangChain come to the rescue. These tools allow you to plug directly into powerful foundation models and build smart applications using simple Python code and APIs.

Tools You’ll Be Using

Amazon Bedrock: Gives access to top-tier AI models via a fully managed API (no model training needed!)
LangChain: Helps you connect LLMs to APIs, databases, and tools like weather data, PDF documents, or custom logic
Open-Meteo API (used in the example): For real-time weather data integration

Together, these tools let you create apps that understand queries, call APIs, and generate human-like responses.

Project Example: Build a Weather Assistant in 2 Hours

This beginner-friendly AI app is a great starting point. Here’s what you’ll build:

Step-by-Step Overview:

Input from User: Ask the user to type a city name.
Natural Language Understanding: LangChain passes the input to a foundation model via Amazon Bedrock.
Function Calling: Based on the intent (like checking weather), the model triggers the Open-Meteo API.
Smart Output: The model responds with a natural-language summary like: “It’s currently 18°C in London with light rain expected later today.”

You can even ask advanced queries like "Is Delhi warmer than Tokyo today?" and the app will compare both cities and give a smart, summarized response.

Project Ideas to Expand On

Once you get the hang of it, here are a few more AI apps you can build with similar architecture:

AI Summarizer for News or Documents
Chatbot for Travel or Education Help
Health Advice Bot (non-diagnostic)
AI Tutor that Explains Concepts Based on Student Questions

These can be ideal for your final-year project or a standout resume piece.

Learning by Doing = Confidence

This project doesn’t just give you code; it helps you understand how AI apps work. You’ll learn:

How to structure inputs for LLMs
How to use LangChain agents and tools
How to connect APIs and display results

And all this without needing a background in machine learning or DevOps.

Ready to Build? Need Help Along the Way?

If you ever feel stuck during implementation or want help expanding your AI project, CodersArts is here to support you. We specialize in student-friendly academic assistance, from coding guidance to full-stack project development tailored to your coursework.

You can also check out the project demo in the following video: