Enhancing Your Notebook Workflow with Jupyter AI
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 10m | 179 MB
Instructor: Wuraola Oyewusi
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 10m | 179 MB
Instructor: Wuraola Oyewusi
Get a comprehensive introduction to Jupyter AI, the powerful extension that integrates generative AI capabilities into the Jupyter ecosystem. Instructor Wuraola Oyewusi begins with an overview of foundational concepts, before showing you how to set up and configure your environment with various AI model providers. Through hands-on practical demonstrations, you'll master easy-to-use techniques for leveraging AI to generate, explain, refactor, and debug code. An ideal fit for data scientists, machine learning practitioners, and developers, this course concludes with a capstone project that reinforces and tests out your new skills.
Learning objectives
- Configure and integrate AI models within JupyterLab environments using Jupyter AI.
- Generate, explain, and optimize code using natural language prompts and AI assistance.
- Apply Jupyter magic commands (%ai and %%ai) to interact directly with language models.
- Create complete notebooks with AI assistance to solve data science problems.
- Debug code and understand complex concepts with AI-powered explanations.