Learn to deploy and scale AI solutions on Azure with hands-on cloud ML services.
Not required
Basic programming; comfort with command line
Develop solutions with Azure AI Document Intelligence
BeginnerDevelop Generative AI Solutions with Azure OpenAI Service
IntermediateEngineering Features for Machine Learning in Microsoft Azure
IntermediateApplied Machine Learning - Applied AI Course
IntermediateLearn Data Science and Machine Learning on Microsoft Azure
BeginnerDevelop solutions with Azure AI Document Intelligence
BeginnerDevelop Generative AI Solutions with Azure OpenAI Service
IntermediateEngineering Features for Machine Learning in Microsoft Azure
IntermediateApplied Machine Learning - Applied AI Course
IntermediateLearn Data Science and Machine Learning on Microsoft Azure
BeginnerFollow these courses in order to complete the learning path. Click on any course to enroll.
This Microsoft Learn path provides a comprehensive introduction to Azure AI Document Intelligence (formerly Form Recognizer). You'll learn how to use pre-built models for common document types, train custom models for your specific needs, and integrate the service into your applications to automate document processing workflows.
This training course empowers you to unlock the potential of Microsoft's cutting-edge language models. You will learn to provision the Azure OpenAI service, deploy powerful models, and use them to build groundbreaking AI applications that can write, chat, and understand human language.
A learning path on Pluralsight that teaches how to apply common feature engineering techniques as part of the machine learning workflow specifically within the Microsoft Azure platform.
Industry-focused machine learning course with real-world projects and deployment strategies.
Welcome to this course on Data Science and Machine Learning with Microsoft Azure. You would learn various lessons for Data Visualization, Data Cleaning and Data Analysis using Microsoft Power BI. It is a powerful Business Intelligence software that can be used for various domains ranging from creating Analytics dashboard and Business Intelligence reports to fetching information from wide range of data sources. You could also perform various types of data cleaning operations using Power Query. Moreover, if you want to create some advanced types of Analytics charts you can write a few lines of code in python using frameworks such as Matplotlib and Seaborn. And if you want to modify the dataset either by creating derived values based on certain mathematical formula or specified conditions you could perform various Data Modelling operations as well by using creating Calculated fields and by using Power Query editor. In this course you would learn various such concepts with completely practical examples on Power BI Desktop, that can be applied in the similar way on azure cloud.After you have learned various lessons on Power BI, you would be learning Azure Machine learning in the later sections of this course. Here you would learn to analyze an image using Computer Vision. And you would also learn to perform language detection, sentiment analysis, key phrase extraction and entity recognition using Azure Text Analytics. Here in this course you will learn following lessons on Data Science using Microsoft Power BI-Creating Visualization charts such as Bar chart Pie chart Donut or Ring chart Treemap chart Interactive charts and Drill down Table and Matrix Date and other Slicers Creating a calculated field Gauge chart Map chart and modes Scatterplot and Animation Playback Basics of Power Query Row deletion and
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