Learning

What it is

Learning services is a JupyterLab* environment, featuring Jupyter* Notebooks, organized by Intel® processor, framework, and AI topic. Notebooks offer interactive, step-by-step tutorials with preloaded code and explanations. Additional JupyterLab tools include a Python console, Terminal, and Markdown editor.

Why use

  • Learn AI/ML development for free in ready-made Jupyter Notebooks.

  • Build fundamental skills to develop comprehensive AI solutions

  • Understand how to use recommended software dependencies or libraries

        flowchart TD

 A --> B{{ Jupyter Notebooks - Organized by Processor, AI Topic, Programming Language }}
 A --> C{{ Bare Jupyter Notebook }}
 A --> D{{ Console - Interactive Shell, PyTorch, TensorFlow }}
 A --> E{{ Other - Terminal, Text File, Markdown File }}
 A{{ Learning Environment }}

JupyterLab learning environment

Where to start

In Learning, you can:

  • Focus on one topic group, like AI with Intel® Gaudi® AI accelerator .

  • Focus on one topic, like C++ SYCL for heterogeneous device programming.

  • Try one of the above and then follow related Tutorials.