Wellington

About the event

The Global AI Bootcamp is a series of free one-day events organized across the world by local communities that are passionate about artificial intelligence on Microsoft Azure.

As part of the bootcamp you will get to learn how to 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 and ML.NET.

By the end of the day, you will be able to infuse AI into your applications.

Note: We are giving away amazon gift vouchers for 2 lucky participants attending this bootcamp. Free Azure Passes will be provided for the workshops.

Agenda

09:45am - 10:15am Keynote - Unlocking the Potential of AI
This keynote video features John Montgomery, Corporate Vice President of Azure AI, Bob Breynaert, Dona Sarkar and Sharon Lo. They discuss the latest developments in AI at Microsoft, including the Azure OpenAI Service. They explore how AI can be used to improve accessibility and the importance of ethics and responsibility when it comes to AI. They also discuss the challenges and opportunities that come with the development of AI. The keynote video provides a comprehensive overview of the latest developments in AI at Microsoft and the implications for the future.

10:15am - 10:50am - Session 1 - Introduction to Azure Machine Learning

10:50am - 11:00am - Break

11:00am - 12:30pm - Workshop 1 - Machine Learning with Azure ML
This workshop covers clustering with Azure Machine Learning, Automated ML, and model explainability.

12:30pm - 01:30pm - Lunch

01:30pm - 02:00pm - Session 2 - Introduction to Responsible AI

02:00pm - 3:50pm - Workshop 2 - 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 participants 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, participants will learn best practices of using Azure Responsible AI dashboard to help ML professionals produce AI solutions that are less harmful and more trustworthy.

03:50pm - 04:00pm - Wrap up

Location

This is an online event, live from Wellington in New Zealand.