Build a ChatGPT Deep Research Clone with Streamlit

Learn how to build and deploy your own AI-powered research assistant using GPT models, Python, Streamlit, and GitHub. Automate deep research and reporting in a real-world app. Start building job-ready AI tools today.

What you'll learn

• Design and script your own version of ChatGPT's Deep Research AI agent from scratch
• Use your AI tool to automatically create clean, polished research reports with citations
• Use OpenAI tools to generate and process search results and check goal completion through structured feedback loops
• Build an interactive front end for your research with Streamlit and deploy your app for use in the real-world

What is ChatGPT Deep Research?

Imagine having your own AI assistant that does deep research for you, figuring out what you want to know, searching the web, collecting results, and writing up a clean essay or report…

…that's what ChatGPT's Deep Research tool does!

It's an incredible tool that allows you to use AI to study and research complex topics, and generate well-researched reports supported by citations.

But what would be even better than that?

Creating your own custom version of ChatGPT's Deep Research tool!

This course walks you through building exactly that. You’ll script each part of the workflow, from intent recognition to reporting to using Python and the latest GPT models. This allows you to not only get to customize the tool to exactly your needs and preferences, but it also helps you understand how this amazing AI tool actually works under-the-hood.

The best part? You’ll wrap your new Deep Research Clone up into a Streamlit app and deploy it live, with all the tools and steps shown clearly. No fluff. Just practical coding, clear explanations, and a final product that’s actually useful.

By the end you'll have a working AI Deep Research tool, and the skills to build more.