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Agenda

  • 09:00 – 09:15 Welcome and Registration
  • 09:15 – 09:30 Opening
  • 09:30 – 10:15 KeyNote – The age of applied AI
  • 10:15 – 10:30 Break
  • 10:30 – 11:15 Machine Learning with CoreML & Azure Cognitve Services (Michael Ridland, Azure MVP)
  • 11:15 – 12:00 Azure DataBricks for ML/AI (Chaitanya Varma, Microsoft)
  • 12:00 – 13:00 Lunch
  • 13:00 – 13:45 Modelling and Integrating with Azure Machine Learning (Mick Badran, Azure MVP)
  • 13:45 – 14:30 Tensorflow (Zp Bappi, Readify)
  • 14:30 – 15:00 Break
  • 15:00 – 15:45 Image Classification with Azure IoT Edge (Dave Glover, Microsoft)
  • 15:45 – 16:30 Closing, raffle and networking

Labs

Beside the workshops, we provide a list of labs to help you get hands-on learning. These labs cover the basics as well as deep-dives. The format of these labs is drop-in and drop-out. You can do one or all of the labs. Our proctors will be there to help you complete the labs.

Process images with the Computer Vision service

Classify images with the Microsoft Custom Vision Service

Discover sentiment in text with the Text Analytics API

Create neural networks with TensorFlow on the Azure Data Science Virtual Machine

Interactive deep learning with Jupyter, Docker and PyTorch on the Data Science Virtual Machine

The Mojifier - Create a Slack bot that replaces people's faces with emojis matching their emotion

Build a chat bot with the Azure Bot Service

Location:
Microsoft Reactor Sydney
11 York St - Level 10
Sydney
Australia

Program & Sessions