Microsoft Azure AI Engineer: Developing ML Pipelines in Microsoft Azure from Pluralsight

This course is for data pros, developers, and IT pros with different areas of responsibility who need to collaborate effectively on data science projects and iteratively develop repeatable, high-quality machine learning models in Microsoft Azure.

At the core of being a Microsoft Azure AI engineer rests the need for effective collaboration. In this course, Microsoft Azure AI Engineer: Developing ML Pipelines in Microsoft Azure, you will learn how to develop, deploy, and monitor repeatable, high-quality machine learning models with the Microsoft Azure Machine Learning service. First, you will understand how to create no-code machine learning pipelines using the Azure ML service visual designer. Next, you will explore how to train ML models using Python, Jupyter notebooks, and the Microsoft Azure Machine Learning workspace. Finally, you will discover how to monitor your Azure Machine Learning environments from the perspective of the data scientist and data engineer. When you are finished with this course, you will have a foundational knowledge of the Microsoft Azure Machine Learning service that will help you as you move forward in the Microsoft Azure AI engineer job role.

What's inside

Syllabus

Course Overview

Understanding Machine Learning Workspaces

Understanding Azure ML Pipelines

Managing Machine Learning Workspaces

Implementing AI Pipelines

Managing Experiments

Managing Data Flow and Logging

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops a project lifecycle that is efficient for teams working on data science projects

Taught by Tim Warner, recognized for their work in Azure and machine learning

Examines the iterative process for developing machine learning pipelines

Covers modern tools and technologies, such as Azure Machine Learning, that are highly relevant to the industry

Focuses on building a strong foundation for beginners in machine learning pipelines

May require additional prerequisites knowledge in data science

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Microsoft Azure AI Engineer: Developing ML Pipelines in Microsoft Azure with these activities:

Practice Building ML Pipelines

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Strengthen your skills in developing and deploying machine learning pipelines using the Azure ML service.

Browse courses on ML Pipelines

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Create a new ML pipeline in the Azure ML service and explore its components.
Experiment with different data sources and feature engineering techniques.
Train and evaluate ML models using Azure ML's built-in modules.
Deploy your ML pipelines and monitor their performance.

Mentor Junior ML Engineers

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Reinforce your knowledge and develop leadership skills by mentoring junior ML engineers.

Browse courses on Mentoring

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Identify opportunities to share your expertise with junior ML engineers.
Provide guidance on ML concepts, Azure ML service, and best practices.
Review their work, offer constructive feedback, and encourage their growth.

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Career center

Learners who complete Microsoft Azure AI Engineer: Developing ML Pipelines in Microsoft Azure will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use machine learning pipelines to develop models that can be used to make predictions and solve business problems. This course can help you build a foundation in the Microsoft Azure Machine Learning service, which is a popular platform for developing and deploying machine learning models. As a Data Scientist, you will need to be able to work with data, understand machine learning algorithms, and build and deploy models. This course can help you develop the skills to succeed in this role.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers are responsible for designing and building the infrastructure that supports data science and machine learning projects. This course can help you develop the skills you need to succeed in this role, including how to use the Microsoft Azure Machine Learning service to create and manage machine learning pipelines. As a Data Engineer, you will need to be able to work with data, understand machine learning algorithms, and build and deploy models. This course can help you develop the skills to succeed in this role.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

Machine Learning Engineers are responsible for developing, deploying, and maintaining machine learning models. This course can help you develop the skills you need to succeed in this role, including how to use the Microsoft Azure Machine Learning service to create and manage machine learning pipelines. As a Machine Learning Engineer, you will need to be able to work with data, understand machine learning algorithms, and build and deploy models. This course can help you develop the skills to succeed in this role.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data. This course can help you build a foundation in the Microsoft Azure Machine Learning service, which is a popular platform for developing and deploying machine learning models. As a Data Analyst, you will need to be able to work with data, understand machine learning algorithms, and build and deploy models. This course can help you develop the skills to succeed in this role.

See salaries and explore the career path for Data Analyst

Software Engineer

Software Engineers are responsible for developing and maintaining software applications. This course can help you build a foundation in the Microsoft Azure Machine Learning service, which is a popular platform for developing and deploying machine learning models. As a Software Engineer, you will need to be able to work with data, understand machine learning algorithms, and build and deploy models. This course can help you develop the skills to succeed in this role.

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Cloud Architect

Cloud Architects are responsible for designing and implementing cloud computing solutions. This course can help you develop the skills you need to succeed in this role, including how to use the Microsoft Azure Machine Learning service to create and manage machine learning pipelines. As a Cloud Architect, you will need to understand machine learning and how it can be used to solve business problems. This course can help you develop the knowledge and skills you need to succeed in this role.

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Business Analyst

Business Analysts are responsible for understanding the business needs of an organization and translating those needs into technical requirements. This course can help you develop the skills you need to succeed in this role, including how to use the Microsoft Azure Machine Learning service to create and manage machine learning pipelines. As a Business Analyst, you will need to understand machine learning and how it can be used to solve business problems. This course can help you develop the knowledge and skills you need to succeed in this role.

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Project Manager

Project Managers are responsible for planning, executing, and closing projects. This course can help you develop the skills you need to succeed in this role, including how to use the Microsoft Azure Machine Learning service to create and manage machine learning pipelines. As a Project Manager, you will need to understand machine learning and how it can be used to solve business problems. This course can help you develop the knowledge and skills you need to succeed in this role.

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Technical Architect

Technical Architects are responsible for designing and implementing technical solutions for an organization. This course can help you develop the skills you need to succeed in this role, including how to use the Microsoft Azure Machine Learning service to create and manage machine learning pipelines. As a Technical Architect, you will need to understand machine learning and how it can be used to solve business problems. This course can help you develop the knowledge and skills you need to succeed in this role.

See salaries and explore the career path for Technical Architect

Data Architect

Data Architects are responsible for designing and implementing data solutions for an organization. This course can help you develop the skills you need to succeed in this role, including how to use the Microsoft Azure Machine Learning service to create and manage machine learning pipelines. As a Data Architect, you will need to understand machine learning and how it can be used to solve business problems. This course can help you develop the knowledge and skills you need to succeed in this role.

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Database Administrator

Database Administrators are responsible for managing and maintaining databases. This course can help you develop the skills you need to succeed in this role, including how to use the Microsoft Azure Machine Learning service to create and manage machine learning pipelines. As a Database Administrator, you will need to understand machine learning and how it can be used to solve business problems. This course can help you develop the knowledge and skills you need to succeed in this role.

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DevOps Engineer

DevOps Engineers are responsible for working with developers and operations teams to ensure that software is developed and deployed efficiently. This course can help you develop the skills you need to succeed in this role, including how to use the Microsoft Azure Machine Learning service to create and manage machine learning pipelines. As a DevOps Engineer, you will need to understand machine learning and how it can be used to solve business problems. This course can help you develop the knowledge and skills you need to succeed in this role.

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Systems Analyst

Systems Analysts are responsible for analyzing and designing business systems. This course can help you develop the skills you need to succeed in this role, including how to use the Microsoft Azure Machine Learning service to create and manage machine learning pipelines. As a Systems Analyst, you will need to understand machine learning and how it can be used to solve business problems. This course can help you develop the knowledge and skills you need to succeed in this role.

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Security Analyst

Security Analysts are responsible for protecting an organization's data and systems from security threats. This course can help you develop the skills you need to succeed in this role, including how to use the Microsoft Azure Machine Learning service to create and manage machine learning pipelines. As a Security Analyst, you will need to understand machine learning and how it can be used to solve business problems. This course can help you develop the knowledge and skills you need to succeed in this role.

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Network Architect

Network Architects are responsible for designing and implementing network solutions for an organization. This course can help you develop the skills you need to succeed in this role, including how to use the Microsoft Azure Machine Learning service to create and manage machine learning pipelines. As a Network Architect, you will need to understand machine learning and how it can be used to solve business problems. This course can help you develop the knowledge and skills you need to succeed in this role.

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