Learn how to use notebooks and scripts to train machine learning models and use Azure Machine Learning services to assess data, manage compute, track training models, implement Responsible AI principles, and deploy models to endpoints.
DurationLearn how to use notebooks and scripts to train machine learning models and use Azure Machine Learning services to assess data, manage compute, track training models, implement responsible AI principles, and deploy models to endpoints.
You will also learn how to build, manage, and deploy AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and the Microsoft Bot Framework.
The program does not cover knowledge of data science and machine learning algorithms. You are expected to be familiar with Python (or C#) and have knowledge of using REST-based APIs.
By the completion of this program, successful learners will be able to:
Train, manage, and deploy machine learning models on Azure
Design and implement AI-infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework
To provide high-quality educational opportunities for lifelong learners, regionally and globally, thereby empowering people and transforming communities for a better future.
Vision
To champion the University of Calgary as a leader in continuing and lifelong learning.
Mandate
To expand access to lifelong learning.
To offer a wide range of seminars, courses, and programs for individuals and organizations seeking professional development, academic preparation, and personal enrichment.
To work across the University of Calgary to develop and deliver innovative continuing education programs for professionals, scholars, artists, and members of the community at large.
To partner with industry, educational institutions, governments, and non-profits to deliver mutually beneficial initiatives, programs, and services.
Fortunately, today’s data science methods are more practical and accessible than ever. The open-source R environment provides a straightforward yet incredibly powerful toolbox for performing useful predictive modeling and deep analysis.
This program will enable students to further their education in computer science by specializing in problem-solving and data management in an artificial intelligence environment, particularly in machine learning.
Taking ML models from conceptualization to production is typically complex and time-consuming. You have to manage large amounts of data to train the model, choose the best algorithm for training it, manage the compute capacity while training it.
You will discover how to differentiate offline and online training and predictions, automated machine learning, and how the cloud environment affects machine learning functions. Additionally, you will explore some of the most significant areas in the field of machine learning research.
The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, the Azure Machine Learning service, to automate the data science pipeline.
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