According to @DeepLearningAI, it launched a short course titled Jupyter AI: AI Coding in Notebooks, taught by Andrew Ng and Brian Granger, that trains users to generate code, debug errors, and get explanations without leaving the notebook environment, which is directly relevant to streamlining trading research workflows; source: DeepLearning.AI on X on Nov 6, 2025 twitter.com/DeepLearningAI/status/1986453393183756511 hubs.la/Q03R_Wvf0. According to @DeepLearningAI, the curriculum includes building AI applications from scratch, explicitly featuring a stock data analysis workflow that traders can implement end-to-end in Jupyter using Jupyter AI; source: DeepLearning.AI on X on Nov 6, 2025 twitter.com/DeepLearningAI/status/1986453393183756511 hubs.la/Q03R_Wvf0. According to @DeepLearningAI, the course also teaches AI coding best practices to guide Jupyter AI with the right context, helping ensure successful project builds within the notebook stack; source: DeepLearning.AI on X on Nov 6, 2025 twitter.com/DeepLearningAI/status/1986453393183756511 hubs.la/Q03R_Wvf0.

According to @AndrewYNg, the Jupyter team launched Jupyter AI to embed chat-based code generation and debugging directly inside Jupyter notebook cells, with the debut showcased at JupyterCon this week, source: Andrew Ng on X. According to @AndrewYNg, Jupyter AI is built specifically for notebooks and supports dragging cells to chat, generating cells from chat, and attaching API docs or other context so the LLM writes more accurate code, source: Andrew Ng on X. According to @AndrewYNg, Jupyter AI is integrated into the DeepLearning.AI platform via a free short course co‑taught by Andrew Ng and Jupyter co‑founder Brian Granger, and as an open‑source project it can also be installed and run locally after the course, source: Andrew Ng on X; DeepLearning.AI short course page. According to @AndrewYNg, the announcement includes no mention of cryptocurrencies, tokens, pricing, or monetization details, so no direct crypto or token catalyst was disclosed in this release, source: Andrew Ng on X.

According to @DeepLearningAI, a new course titled Jupyter AI: AI Coding in Notebooks teaches users to use Jupyter AI’s chat interface to generate, debug, and explain code directly in notebooks, build a book research assistant using the Open Library API, and create a stock-market analysis workflow that visualizes and interprets real data; source: @DeepLearningAI on X, https://twitter.com/DeepLearningAI/status/1985399396318539928. It also confirms the instructors are Andrew Ng and Brian Granger, co-founder of Project Jupyter, and provides an enrollment link at bit.ly/4qDAGjT; source: @DeepLearningAI on X, https://twitter.com/DeepLearningAI/status/1985399396318539928.