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
