The sample code in this repository is for use in hands-on exercises in various cognitive services.
Once the docker is setup and the envoirnment is available, use the terminal to run the following command:
jupyter notebook --ip 0.0.0.0 --no-browser --allow-root
The exercises are designed to be completed in Visual Studio Online. To complete the labs, you'll need the following:
- A Microsoft Azure subscription. If you don't already have one, you can sign up for a free trial at https://azure.microsoft.com.
- A Visual Studio Codespace based on the setuc/azure-cognitive-labs code repository. This provides a hosted instance of Visual Studio Code, in which you'll be able to run the notebooks for the lab exercises.
To set up a Visual Studio Codespace:
- Open Visual Studio Online in a new browser tab; and if prompted, sign in using the Microsoft account associated with your Azure subscription.
- If you don't already have a Visual Studio Codespaces billing plan, create one. Then create a codespace with the following settings:
- Codespace Name: A name for your codespace - for example, ai-fundamentals.
- Git Repository: setuc/azure-cognitive-labs
- Instance Type: Standard (Linux) 4 cores, 8GB RAM
- Suspend idle Codespace after: 30 minutes
- Wait for the codespace to be created. This will take around 3 minutes. You'll see the following things happen:
- A script will initialize and configure your codespace.
- A list of notebook (.ipynb) files will appear in the pane on the left.
- After a few minutes, a file named z REFRESH NOW! will appear at the bottom of the list of files. This is your indication that everything has been installed.
- After the z REFRESH NOW! file has appeared, refresh the web page to ensure all of the required extensions are loaded and set the color scheme to a light background. Then you're ready to start.
- After you have refreshed the web page, you can close the Welcome panes and delete the z REFRESH NOW file if you want to. You can also change the color scheme to suit your preference - just click the ⚙ icon at the bottom left and select a new Color Theme. A light color theme is recommended to make it easier to read the Python code in the notebooks.