Global AI Bootcamp 2023

Join us for an inspiring evening focusing on how you can implement AI solutions using pre-trained AI services like Cognitive Services and Bot Framework, or by building your own machine learning models with Azure ML and open-source frameworks like PyTorch. By the end of the day, you will be able to infuse AI into your applications.

Workshops description

Workshop 1 - Introduction to Azure ML Responsible AI

A machine learning model is a black box that is difficult to debug. Traditional machine learning model performance techniques provide a little view of the true model accuracy. In addition, these techniques have a blind spot in finding where the model or data errors are. This can lead to fairness or societal bias issues. There is an increasing need for transparency to be able to understand or explain what features drove a model’s outcome for some industry regulations. This workshop will give you hands-on learning on how to use Azure Machine Learning’s Responsible AI dashboard to debug a model using Error Analysis, Data Analysis and Explainability/Interpretability. At the end of the workshop, you will learn best practices of using Azure Responsible AI dashboard to help ML professionals produce AI solutions that are less harmful and more trustworthy.

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Workshop 2 - Machine Learning with Azure ML

This workshop covers clustering with Azure Machine Learning, Automated ML, and model explainability.

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Workshop 3 - Patient registration made easy with AI services

Most of the forms we complete nowadays are online but there are still times when we need to complete paper-based forms. There are plenty of examples, for this workshop, we've chosen a patient registration for a doctor's surgery.

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Requirements

Visual Studio Code with Python and AzureML extensions

Usage

If you have your own Azure subsctiption, choose one of the workshops and follow the link to the chosen workshop.

If you do not have own Azure subscription follow these steps:

  • Navigate to: http://globalai.community/checkin
  • Enter your name and email
  • Watch your mailbox for the confirmation email
  • Click the activation link in the email
  • Enter the event code (will be provided during the event)
  • Your Azure pass will arrive shortly in your email.

Bonus:

How to handle giant career (and life) leaps by Anna Cwojdzinska

Lighting talk presentation

Video record

Re-watch this YouTube stream

Credits

This workshop was set up by @pyladiesams and Global AI Community