According to DeepLearning.AI (@DeepLearningAI), a new short course titled 'Jupyter AI: AI Coding in Notebooks' has been launched, taught by Andrew Ng and Brian Granger (@ellisonbg), co-founder of Project Jupyter. The course demonstrates practical applications of Jupyter AI, empowering users to generate code, debug errors, and receive explanations directly within the Jupyter notebook environment. Learners can build real-world AI applications, such as a book research assistant and stock data analysis workflow, showcasing the integration of AI tools in data science workflows. The course emphasizes AI coding best practices to maximize efficiency and accuracy when guiding AI models. This educational initiative highlights the growing trend of embedding AI capabilities into popular development environments, creating new business opportunities for AI-powered productivity tools in the software and data science sectors. (Source: DeepLearning.AI Twitter, Nov 6, 2025)

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).