Build with AI: Data Pipelines with Cursor, Neon, and Streamlit

Learn how to build complete data projects using AI-powered coding tools in this hands-on course. Join instructor Vlad Gheorghe as he shows you how to create an end-to-end stock market data pipeline that fetches data from the Alpaca API, stores it in a remote Postgres database, and displays insights through a deployed Streamlit dashboard. Throughout the project, you'll explore ways to use Cursor IDE with AI assistance to write code faster and more efficiently. An ideal fit for software engineers, data engineers, and data analysts, this course equips you with a portfolio-ready project showcasing both technical skills and AI tool proficiency that you can share on LinkedIn, GitHub, and elsewhere.

Learning objectives

• Plan a data pipeline project with an AI assistant.
• Create and manage a Python codebase with GitHub and Cursor.
• Code an end-to-end data pipeline with Cursor.
• Manage a remote Postgres database with Neon and connect your models to it via MCP.
• Deploy a data dashboard with Streamlit cloud.