Create and Publish Pipelines for Batch Inferencing with Azure from Pluralsight

This course will teach you how to use the Azure Machine Learning service to build and run ML pipelines using the drag-and-drop designer interface. You will cover the publishing and deployment of pipelines for batch and real-time inferences.

A machine learning model goes through a number of stages in its lifecycle; from training, to evaluation, through deployment and then maintenance. While there are a number of tools available for these stages, their management can become overwhelming even for the seasoned ML engineer.

In this course, Create and Publish Pipelines for Batch Inferencing with Azure, you'll experience an intuitive and easy-to-maintain environment for all things ML and focus on building and running pipelines for batch inferences:

In this Azure tutorial, you will get an overview of the Azure ML service, learn about a number of data transformations, and how to use the pipeline to make predictions.

Azure Machine Learning is a cloud-based environment you can use to train, deploy, automate, manage, and track ML models.

This course is for anyone who wants to learn Azure ML and create and publish their own pipelines for batch and real-time inferences.

A machine learning model is a file that has been trained to recognize certain types of patterns. You train a model over a set of data, providing it an algorithm that it can use to reason over and learn from certain data.

Data pipelines are sets of data processing elements connected in a series where the output of one element is the input of the next one.

What's inside

Syllabus

Course Overview

Getting Started with the Azure Machine Learning Designer

Building a Model Training Pipeline

Publishing a Batch Inference Pipeline

Deploying a Batch Inference Pipeline

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Introduces learners to Azure Machine Learning, which is an industry-standard cloud-based environment for training, deploying, and maintaining machine learning models

Meant for complete beginners, this course provides a comprehensive overview of Azure ML and its features, including data transformations and pipeline creation and publishing for batch inferencing

Provides hands-on experience in building and running pipelines for batch inferences, a fundamental skill for ML engineers

Taught by Kishan Iyer, an experienced industry professional, ensuring students access up-to-date knowledge and best practices

Exclusively focuses on batch inferencing, providing targeted and in-depth knowledge in this area

Requires prior knowledge of machine learning concepts and basic proficiency in a programming language, which may limit accessibility for complete novices

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 Create and Publish Pipelines for Batch Inferencing with Azure with these activities:

Review the basics of machine learning

Show steps

Reviewing the basics of machine learning will help you refresh your knowledge and ensure that you are ready to succeed in this course.

Browse courses on Machine Learning

Show steps

Read a book or article about machine learning
Watch a video tutorial about machine learning
Take a practice quiz on machine learning

Review the Azure Machine Learning documentation

Show steps

Reviewing the Azure Machine Learning documentation will help you familiarize yourself with the platform and its capabilities.

Browse courses on Azure Machine Learning

Show steps

Read the Azure Machine Learning documentation
Watch a video tutorial about Azure Machine Learning
Take a practice quiz on Azure Machine Learning

Create a batch inference pipeline

Show steps

Following a guided tutorial will allow you to create a batch inference pipeline, which is a critical skill for deploying machine learning models in Azure.

Browse courses on Azure Machine Learning

Show steps

Review the Azure Machine Learning documentation on batch inference pipelines
Find a guided tutorial on creating a batch inference pipeline
Follow the steps in the tutorial to create your own batch inference pipeline
Test your batch inference pipeline to ensure it is working properly

Seven other activities

Expand to see all activities and additional details

Show all ten activities

Azure ML video tutorial

Show steps

Explore a video tutorial on Azure ML to enhance your understanding of the concepts covered in the course.

Browse courses on Azure Machine Learning

Show steps

Identify a comprehensive Azure ML video tutorial.
Watch the video attentively, taking notes on key concepts.
Pause and rewind as needed to grasp complex explanations.
Summarize the main takeaways from the tutorial.

Azure ML study group

Show steps

Participate in a study group with peers to discuss course concepts, share knowledge, and work on projects together.

Show steps

Find a group of classmates or online peers with similar interests.
Schedule regular meetings to discuss course material.
Take turns presenting concepts to the group.
Collaborate on assignments and projects.

Azure ML infographic

Show steps

Create an infographic that visually summarizes the key concepts of Azure ML and its applications.

Show steps

Gather relevant information and data from course materials.
Design a visually appealing infographic using a tool like Canva.
Include clear explanations, diagrams, and examples.
Share your infographic with classmates or on social media for feedback.

Practice building and deploying machine learning pipelines

Show steps

Practicing building and deploying machine learning pipelines will help you develop the skills you need to succeed in this course.

Browse courses on Machine Learning Pipelines

Show steps

Find a dataset that you can use to build a machine learning model
Build a machine learning model using Azure Machine Learning
Create a batch inference pipeline for your model
Deploy your batch inference pipeline
Evaluate the performance of your batch inference pipeline

Write a blog post about machine learning pipelines

Show steps

Writing a blog post about machine learning pipelines will help you solidify your understanding of the concept and share your knowledge with others.

Browse courses on Machine Learning Pipelines

Show steps

Choose a topic for your blog post
Research your topic
Write your blog post
Publish your blog post

Azure ML hands-on exercises

Show steps

Engage in hands-on exercises and practice building and deploying ML pipelines using Azure ML to reinforce your skills.

Show steps

Set up your Azure ML environment.
Follow the course exercises and tutorials to create a sample ML pipeline.
Experiment with different settings and data to observe the impact on pipeline performance.
Troubleshoot any errors or issues encountered during the exercises.

Build a machine learning project using Azure Machine Learning

Show steps

Building a machine learning project will allow you to apply the skills you learn in this course to a real-world problem.

Show steps

Identify a problem that you want to solve with machine learning
Gather data that you can use to train your machine learning model
Build a machine learning model using Azure Machine Learning
Create a batch inference pipeline for your model
Deploy your batch inference pipeline
Evaluate the performance of your batch inference pipeline

Career center

Learners who complete Create and Publish Pipelines for Batch Inferencing with Azure will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists are responsible for using data to solve business problems. Data Scientists need to have a strong understanding of data science techniques, as well as the ability to work with data in a variety of formats. This course teaches you how to build and run pipelines for batch and real-time inferences, which is an essential skill for Data Scientists. By taking this course, you will gain the skills and knowledge you need to succeed as a Data Scientist.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers are responsible for building, deploying, and maintaining machine learning models. Machine Learning Engineers need to have a strong understanding of machine learning algorithms and techniques, as well as the ability to work with data in a variety of formats. This course teaches you how to build and run pipelines for batch and real-time inferences, which is an essential skill for Machine Learning Engineers. By taking this course, you will gain the skills and knowledge you need to succeed as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Statistician

Statisticians are responsible for collecting, analyzing, and interpreting data. Statisticians need to have a strong understanding of statistical methods, as well as the ability to work with data in a variety of formats. This course teaches you how to build and run pipelines for batch and real-time inferences, which is an essential skill for Statisticians. By taking this course, you will gain the skills and knowledge you need to succeed as a Statistician.

See salaries and explore the career path for Statistician

Data Analyst

Data Analysts are experts in extracting insights from data to make better decisions. Data Analysts need to understand the business context, as well as data analysis techniques such as statistics and machine learning. This course teaches you how to build and run pipelines for batch and real-time inferences, which is an essential skill for Data Analysts. By taking this course, you will gain the skills and knowledge you need to succeed as a Data Analyst.

See salaries and explore the career path for Data Analyst

Risk Analyst

Risk Analysts are responsible for identifying, assessing, and managing risks. Risk Analysts need to have a strong understanding of risk management principles, as well as the ability to work with data in a variety of formats. This course teaches you how to build and run pipelines for batch and real-time inferences, which is an essential skill for Risk Analysts. By taking this course, you will gain the skills and knowledge you need to succeed as a Risk Analyst.

See salaries and explore the career path for Risk Analyst

Data Engineer

Data Engineers are responsible for designing, building, and maintaining data pipelines. Data Engineers need to have a strong understanding of data engineering tools and technologies, as well as the ability to work with data in a variety of formats. This course teaches you how to build and run pipelines for batch and real-time inferences, which is an essential skill for Data Engineers. By taking this course, you will gain the skills and knowledge you need to succeed as a Data Engineer.

See salaries and explore the career path for Data Engineer

Quantitative Analyst

Quantitative Analysts are responsible for using mathematical and statistical techniques to analyze financial data. Quantitative Analysts need to have a strong understanding of financial markets, as well as the ability to work with data in a variety of formats. This course teaches you how to build and run pipelines for batch and real-time inferences, which is an essential skill for Quantitative Analysts. By taking this course, you will gain the skills and knowledge you need to succeed as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Financial Analyst

Financial Analysts are responsible for analyzing financial data and making recommendations. Financial Analysts need to have a strong understanding of financial analysis techniques, as well as the ability to work with data in a variety of formats. This course teaches you how to build and run pipelines for batch and real-time inferences, which is an essential skill for Financial Analysts. By taking this course, you will gain the skills and knowledge you need to succeed as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Business Analyst

Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. Business Analysts need to have a strong understanding of business analysis techniques, as well as the ability to work with data in a variety of formats. This course teaches you how to build and run pipelines for batch and real-time inferences, which is an essential skill for Business Analysts. By taking this course, you will gain the skills and knowledge you need to succeed as a Business Analyst.

See salaries and explore the career path for Business Analyst

Operations Research Analyst

Operations Research Analysts are responsible for using mathematical and analytical techniques to solve business problems. Operations Research Analysts need to have a strong understanding of operations research techniques, as well as the ability to work with data in a variety of formats. This course teaches you how to build and run pipelines for batch and real-time inferences, which is an essential skill for Operations Research Analysts. By taking this course, you will gain the skills and knowledge you need to succeed as an Operations Research Analyst.

See salaries and explore the career path for Operations Research Analyst

Data Architect

Data Architects are responsible for designing and managing data architectures. Data Architects need to have a strong understanding of data architecture principles, as well as the ability to work with data in a variety of formats. This course teaches you how to build and run pipelines for batch and real-time inferences, which is an essential skill for Data Architects. By taking this course, you will gain the skills and knowledge you need to succeed as a Data Architect.

See salaries and explore the career path for Data Architect

Cloud Engineer

Cloud Engineers are responsible for designing, deploying, and maintaining cloud computing systems. Cloud Engineers need to have a strong understanding of cloud computing technologies, as well as the ability to work with data in a variety of formats. This course teaches you how to build and run pipelines for batch and real-time inferences, which is an essential skill for Cloud Engineers. By taking this course, you will gain the skills and knowledge you need to succeed as a Cloud Engineer.

See salaries and explore the career path for Cloud Engineer

Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software applications. Software Engineers need to have a strong understanding of software engineering principles, as well as the ability to work with data in a variety of formats. This course teaches you how to build and run pipelines for batch and real-time inferences, which is an essential skill for Software Engineers. By taking this course, you will gain the skills and knowledge you need to succeed as a Software Engineer.

See salaries and explore the career path for Software Engineer

Database Administrator

Database Administrators are responsible for managing and maintaining databases. Database Administrators need to have a strong understanding of database management systems, as well as the ability to work with data in a variety of formats. This course teaches you how to build and run pipelines for batch and real-time inferences, which is an essential skill for Database Administrators. By taking this course, you will gain the skills and knowledge you need to succeed as a Database Administrator.

See salaries and explore the career path for Database Administrator

Web Developer

Web Developers are responsible for designing, developing, and maintaining websites. Web Developers need to have a strong understanding of web development technologies, as well as the ability to work with data in a variety of formats. This course teaches you how to build and run pipelines for batch and real-time inferences, which is an essential skill for Web Developers. By taking this course, you will gain the skills and knowledge you need to succeed as a Web Developer.

See salaries and explore the career path for Web Developer

Create and Publish Pipelines for Batch Inferencing with Azure

Here's a deal for you

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses