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.

Paul-Emil Iusztin

2025년 3월 20일

무료 계정 만들기

실습 문제하고 트랙하세요.

Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.

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