About this course
Are you a web developer, IT administrator, enterprise architect, data analyst, or technology professional looking to break into the world of Artificial Intelligence and Machine Learning? Or perhaps you’re just curious about Microsoft Azure’s ML capabilities and want to learn from the ground up? This beginner-friendly course is the perfect starting point.
Microsoft Azure Machine Learning (ML) Fundamentals is designed to provide you with a solid foundation in Azure ML Studio and the essential concepts of machine learning. This course follows a flipped classroom model, with hands-on exercises that ensure you're not just learning theory but applying it directly through practical labs and real-world business use cases.
You’ll start by navigating Azure ML Studio, then move on to creating and managing experiments, modeling business scenarios, and exploring machine learning concepts such as classification, regression, and evaluation. Whether you're a developer, IT professional, or data enthusiast, this course is tailored to help you build confidence and proficiency in ML on the Azure platform.
By the end of the course, you’ll have the tools, skills, and understanding needed to begin leveraging Azure ML in your projects or career path—setting the stage for advancement into more complex AI and data science roles.
Learning Objectives
• Navigate and use Azure Machine Learning Studio
• Create and manage ML experiments in Azure
• Model basic machine learning use cases
• Understand core ML concepts: classification, regression, evaluation
• Apply best practices in ML workflows using Azure
Target Audience
• Beginner IT students and technology enthusiasts
• Developers, coders, and programmers new to machine learning
• Data protection officers, big data analysts, and system administrators
• Anyone interested in gaining foundational ML skills on Azure
Prerequisites
• A valid credit card to create a Microsoft Azure account
• Basic knowledge of IT or programming concepts
• Familiarity with statistical concepts is helpful, but not required
Microsoft Azure Machine Learning (ML) Fundamentals is designed to provide you with a solid foundation in Azure ML Studio and the essential concepts of machine learning. This course follows a flipped classroom model, with hands-on exercises that ensure you're not just learning theory but applying it directly through practical labs and real-world business use cases.
You’ll start by navigating Azure ML Studio, then move on to creating and managing experiments, modeling business scenarios, and exploring machine learning concepts such as classification, regression, and evaluation. Whether you're a developer, IT professional, or data enthusiast, this course is tailored to help you build confidence and proficiency in ML on the Azure platform.
By the end of the course, you’ll have the tools, skills, and understanding needed to begin leveraging Azure ML in your projects or career path—setting the stage for advancement into more complex AI and data science roles.
Learning Objectives
• Navigate and use Azure Machine Learning Studio
• Create and manage ML experiments in Azure
• Model basic machine learning use cases
• Understand core ML concepts: classification, regression, evaluation
• Apply best practices in ML workflows using Azure
Target Audience
• Beginner IT students and technology enthusiasts
• Developers, coders, and programmers new to machine learning
• Data protection officers, big data analysts, and system administrators
• Anyone interested in gaining foundational ML skills on Azure
Prerequisites
• A valid credit card to create a Microsoft Azure account
• Basic knowledge of IT or programming concepts
• Familiarity with statistical concepts is helpful, but not required
Introduction
1 Parts
Azure Machine Learning Basics File
321.82 MB
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