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Getting Started with Azure Machine Learning Studio

Kevin Hu

With artificial intelligence and machine learning becoming ubiquitous, any organization can access these technologies easily. As AI/ML becomes widely adopted, expertise on Azure Machine Learning will be high in demand. Gone are the days when you would need an advanced degree to practice machine learning! This course introduces terminology used in machine learning, along with all of the steps in the process from start to finish. We’ll also learn how to work within the Azure Machine Learning studio to create a simple machine learning model. After completing the course, you'll be able to: * talk about the relevance of machine learning in today’s technological landscape * understand the basic concepts, terms, and steps of the machine learning process * build a simple machine learning model in the Azure Machine Learning studio. No prior coding experience is required, and while it helps to have some familiarity with Azure, the course material will be a fit for anyone who is interested in machine learning but not sure how to get started.

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Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Introduces basic machine learning concepts and their real-world applications

Provides a comprehensive overview of the machine learning process from start to finish

Suitable for individuals with no prior programming or Azure experience

Designed for those interested in exploring machine learning but unsure of where to start

Taught by recognized industry experts with experience in machine learning

Provides hands-on experience through practical examples and case studies

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Career center

Learners who complete Getting Started with Azure Machine Learning Studio will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst uses their knowledge of data analysis tools and techniques to examine data. They also interpret large amounts of data and present these findings to stakeholders. This course will help build a foundation in machine learning, a skill in high demand for Data Analysts. Using the concepts taught in this course, you may parlay these newfound skills into a job in data analytics, even without prior coding experience.

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Machine Learning Engineer

As a Machine Learning Engineer, you will design and build machine learning models. No coding experience is needed to get started with this course, but the skills you will learn can help you build a foundation in machine learning engineering.

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Data Scientist

Data Scientists use a combination of analytical and technical skills to draw conclusions from data, using tools such as machine learning and AI. Familiarity with machine learning is essential for this role, and this course can assist you in cultivating this expertise.

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Business Analyst

Individuals in this role use data, both qualitative and quantitative, to examine a business and make data-driven recommendations to improve outcomes. With the use of machine learning and AI becoming pervasive, learning the basics of these technologies will help you excel in a business analyst role.

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Data Engineer

A Data Engineer is responsible for the design and implementation of data pipelines. Familiarity with machine learning is an emerging area of focus in this field, and this course will help you cultivate this expertise.

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Artificial Intelligence Engineer

Artificial Intelligence Engineers design and build AI systems. Familiarity with the basic concepts of machine learning will give you an advantage in pursuing a career as an AI Engineer. This course may be a useful starting place for building your foundation in the subject.

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Information Technology Consultant

Information Technology Consultants help businesses or organizations with technology or IT-related issues. Some familiarity with machine learning is useful for Information Technology Consultants, and this course can provide a foundation in the subject.

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Information Technology Architect

Information Technology Architects design, build, and maintain computer and information systems. This course will help you build a foundation in machine learning, a skill that is increasingly important for IT Architects.

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Statistician

Statisticians use mathematics and statistical analysis to extract findings from data. Expertise in machine learning is quickly becoming a crucial skill, and this course will help build a foundation in this subject.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data for investment purposes. This course will help you build a foundation in machine learning, a valuable skill for professionals in this field.

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Computer Scientist

Computer Scientists use their knowledge of computer science theory and algorithms to design and build software systems. This course will help you build a foundation in machine learning, an essential skill for many computer science roles.

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Software Developer

Software Developers design, write, and maintain applications and software. Although coding experience is not required to take this course, the basics of machine learning taught in this course may prove useful in career advancement for Software Developers.

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Data Visualization Analyst

Data Visualization Analysts design and develop data visualizations to communicate insights. Knowledge of machine learning will enhance your skills in advanced data visualization. This course can help provide a basis in machine learning for this role.

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Data Mining Analyst

Data Mining Analysts use data mining techniques to extract knowledge from data. Familiarity with machine learning is very useful for individuals in this role, and this course can help provide a foundation in the subject.

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Marketing Analyst

Marketing Analysts use data to understand and improve marketing campaigns. As machine learning becomes more prevalent in marketing, it will become a useful skill. This course can help you build a foundation in this subject.

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Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Getting Started with Azure Machine Learning Studio.

Machine Learning Q and AI