Building an AI Note-taking Application

Paul-Emil Iusztin, Founder of Decoding ML, walks you through the process of building a Second Brain AI assistant from scratch.

Mar 20, 2025

AI-powered note-taking applications are transforming how we capture, organize, and retrieve information. By building your own Notion-like AI assistant, you can gain hands-on experience with AI system architecture, data processing, and deployment. Understanding how to collect and store data, integrate AI models, and deploy an agentic RAG system is essential for AI engineers looking to develop intelligent applications.

In this hands-on code-along session, Paul-Emil Iusztin, Founder of Decoding ML, walks you through the process of building a Second Brain AI assistant from scratch. You’ll learn the core architecture of the AI application, how to collect and preprocess custom data, how to fine-tune open-source models and how to build agentic RAG apps. This session is perfect for AI or ML engineers looking to gain practical experience in building and deploying AI applications.

Key Takeaways:

Learn how to build a Second Brain AI assistant on top of your notes and resources (similar to Notion’s AI assistant)
Understand the AI architecture and MLOps principles behind the AI assistant
Learn to build an agentic RAG application

Session Resources

Topics

Artificial Intelligence

Python

Tutorial

Building Multimodal AI Application with Gemini 2.0 Pro

Build a chat app that can understand text, images, audio, and documents, as well as execute Python code. Truly a multimodal application closer to AGI.

Abid Ali Awan

11 min

code-along

Building Multimodal AI Applications with LangChain & the OpenAI API

Combine the power of text and audio AI models to build a bot that answers questions about YouTube videos.

Korey Stegared-Pace

code-along

Only Code If You Want To: Data Science with DataLab (Part 2)

Find out how AI assistance can boost your productivity in a more traditional notebook setting.

Joe Franklin

code-along

AI Python Zero-to-Hero: Build Your Own Fitness Tracker

Yashas Roy, a Senior Learning Solutions Architect at DataCamp, walks you through creating your own fitness tracker.

Yashas Roy

code-along

Building NLP Applications with Hugging Face

Perform a variety of NLP tasks from sentiment analysis to clustering with Hugging Face, and build a bot that generates marketing copy for a fashion retailer.

Jacob Marquez

code-along

Introduction to Creating AI Agents in Python (Part 2: Hands on)

Richmond Alake, Staff Developer Advocate for AI and ML at MongoDB, teaches you how to put the concepts you learned in the first part of the two part series into practice.

Richmond Alake

See More See More