According to DeepLearning.AI (@DeepLearningAI), a new course titled 'Jupyter AI: AI Coding in Notebooks' is now available, taught by Andrew Ng and Brian Granger, the co-founder of Project Jupyter. This course addresses a key gap in AI coding assistants, which rarely integrate seamlessly within notebook environments. Learners will gain hands-on experience using Jupyter AI's integrated chat interface to generate, debug, and explain code directly inside Jupyter notebooks. The course also covers building a book research assistant leveraging the Open Library API and creating a real-time stock market analysis workflow that visualizes and interprets financial data. These practical applications highlight how AI-powered coding tools are revolutionizing software development workflows and opening new business opportunities for enterprises seeking to accelerate data analysis and research within Jupyter environments (Source: @DeepLearningAI).

According to Andrew Ng (@AndrewYNg), the contributions of Project Jupyter co-founders Brian Granger (@ellisonbg) and Fernando Pérez (@fperez_org) have been foundational in enabling the widespread adoption of coding notebooks in AI and data science. Jupyter Notebooks, as noted by Ng, are now essential tools for prototyping, experimentation, and reproducibility in machine learning workflows, accelerating innovation and collaboration in both academia and industry (Source: Andrew Ng, Twitter, Oct 25, 2025). This open-source platform has also spurred a growing ecosystem of AI-focused extensions and commercial services, creating substantial business opportunities for enterprises building products on top of Jupyter infrastructure.