Multiuser Python Jupyter Notebooks for Gen AI, ML & DS
Harnessing the Power of JupyterHub for Generative AI, ML & Data Science
3.93 (7 reviews)
1,555
students
2 hours
content
Mar 2024
last update
FREE
regular price
What you will learn
Harness the collaborative power of Python Jupyter Notebooks for generative AI, ML, and data science projects.
Set up and manage multiuser environments using JupyterHub on cloud platforms like AWS, GCP, and Azure.
Deploy Jupyter Notebooks on AWS, GCP, and Azure, enabling seamless collaboration with team members.
Enable ChatUI within Jupyter environments for real-time communication and collaboration.
Utilize magic commands to enhance productivity and efficiency in Jupyter Notebooks.
Secure JupyterHub deployments with HTTPS encryption to protect sensitive data.
Install and manage additional Python packages and dependencies within Jupyter Notebooks.
Gain hands-on experience through practical demonstrations, interactive exercises, and immersive lectures.
Screenshots
5847630
udemy ID
2/29/2024
course created date
3/8/2024
course indexed date
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