Gain the skills and confidence in Microsoft Azure to help you understand how to design and implement a data science solution.
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Explore Microsoft Azure fundamentals and improve your data science process
During this course, you’ll explore the data science process and how this can be supported using solutions within Microsoft Azure. Alongside industry experts, you’ll delve into the theory of machine learning before gaining hands-on experience to strengthen your knowledge of Microsoft Azure.
This course was created by the Microsoft World Wide Learning team for data scientists, with the aim of supporting the exam DP-100: Designing and Implementing a Data Science Solution on Azure.
Learn how to use automation within your data science projects
Machine learning is transforming many industries, including data science, and is being used to streamline processes for more effective results.
You’ll explore machine learning model training and deployment which will allow you to use a greater degree of automation within your data science projects.
Improve your data modelling with Microsoft Azure
During the course, you’ll be guided by industry experts to review the machine learning capabilities available in Microsoft Azure. You’ll also learn how to use this powerful platform for model selection automation, local model training, model management, and monitoring.
Gain hands-on experience by building a chatbot
Once you have understood the functionality of Microsoft Azure, you’ll gain practical experience by building a simple chatbot.
By putting your knowledge into practice you can solidify what you have learned and also have the opportunity to customise and troubleshoot within the platform.
- The data science process
- Data science on Azure
- Data science with Azure Notebooks
- Azure Machine Learning (AML) service
- Local model training with AML service
- Azure modelling
- Model selection automation with AML service
- Machine learning model management and monitoring with AML service