Linkedin Learning – Build With AI-Data Pipelines With Cursor Neon And Streamlit
English | Tutorial | Size: 519.42 MB
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.
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