This self-paced 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. You’ll learn about the data science process and how solutions within Microsoft Azure can best support it. You’ll then delve into machine learning model training and deployment, allowing you to use a greater degree of automation within your data science projects. Use the Azure machine learning to improve your data modelling Machine learning is revolutionising a huge range of industries, including data science. Guided by industry experts, you’ll review the machine learning capabilities available in Microsoft Azure, and learn how to use it for local model training, model selection automation, model management, and monitoring. Consolidate your knowledge by building a chatbot Once you have built your understanding of Microsoft Azure and its functionality, you’ll put that knowledge into practice by building a simple chatbot. This offers you the opportunity to customise and troubleshoot within the platform, as well as a chance to build hands-on experience. By the end of the course you’ll have the confidence and knowledge to design and implement a data science solution using Microsoft Azure’s AI stack.
The techniques and tools covered in Microsoft Future Ready: Designing and Implementing a Data Science Solution on Azure (Data Science) are most similar to the requirements found in Data Engineer job advertisements.
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