AI Bootcamp for Professional AI Developers
This workshop offers hands-on activities that develop proficiency in AI-oriented workflows leveraging Azure Machine Learning Workbench and Services, the Team Data Science Process, Visual Studio Team Services, Azure Batch AI, and Azure Container Services.
Upcoming Dates
There are no scheduled classes for this course at the moment. Please, send us an information request to find out more.
will take place in your company’s facilities. We limit attendance to no more than 20 students in order to maintain a good level of interactivity.
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In preparation for the upcoming Machine Learning Boot Camp, there are a few things you need to do to be able to take the class. These activities take about 2.5 hours in total, and must be completed prior to showing up for the event. Failure to do so will put you begind the rest of the class and divert your time and attention from the material covered throughout the bootcamp. As proof you have completed the steps below, you must bring the “Web Service ID” code (described below) with you to sign-in at the event.
What you will need:
– Use a code-repository system with the Azure Machine Learning Workbench using the TDSP structure.
– Create an example environment.
– Use the TDSP and AMLS for data acquisition and understanding.
– Use the TDSP and AMLS for creating an experiment with a model and evaluation of models.
– Use the TDSP and AMLS for deployment.
– Use the TDSP and AMLS for project close-out and customer acceptance.
– Execute Data preparation workflows and train your models on remote Data Science Virtual Machines (with or without GPUs) and HDInsight Clusters running Spark.
– Manage and compare models with Azure Machine Learning.
– Explore hyper-parameters on Spark using Azure Machine Learning.
– Leverage Batch AI training for parallel training on GPUs.
– Deploy and Consume a scoring service on Azure Container Service.
– Collect and Analyze data from a scoring service in production to progress the data science lifecycle.
Content sourced by Microsoft.
Module 1. Introduction and context
Summary and White-board Discussion
Business Case 1
Module 2. Introduction and context
Summary and White-board Discussion
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