At a Glance

Learn to build useful AI applications with LLM & LangChain. In this project, you will build an "stock investment advisor" application. Let your users experiment with investment strategies and learn how investment in stock market works.

In the ever-evolving world of finance, making informed investment decisions is crucial. Whether you're an aspiring investor or a seasoned trader, having a reliable source of general financial information and insights can give you a significant edge.

In this project, we aim to build an AI application that goes beyond mere information dissemination. Our app will actively analyze market trends using the latest news from sources like Yahoo Finance and Google News. Moreover, it will evaluate financial statements spanning a 2-year period to offer insightful financial analyses. We will guide you through each step, demonstrating how to construct this AI agent using LangChain—a leading package for developing applications based on large language models (LLMs).

👉 Check out the demo of what you'll build.

demo

A Look at the Project Ahead

You will learn to:

Build an AI-powered application to help people learn the experiments with stock investment strategies.
Gain hands-on experience with AI and natural language processing (NLP).
Access real-time financial news and financial data.
Understand the LangChain framework, a powerful tool for AI applications.
Gain better understanding of financial markets.

What You'll Need

A fundamental understanding of Python, HTML, CSS, and JavaScript is beneficial.

Offered By: IBMSkillsNetwork

Build an AI Investment Advisor with LLM & LangChain

At a Glance

A Look at the Project Ahead

What You'll Need