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Dayo Bamikole
Welcome to Build ML Models with Azure ML Designer. This course will teach you how to leverage a user friendly and visually appealing tool to accomplish Machine Learning Projects.
Read more
Welcome to Build ML Models with Azure ML Designer. This course will teach you how to leverage a user friendly and visually appealing tool to accomplish Machine Learning Projects.
Read more
Welcome to Build ML Models with Azure ML Designer. This course will teach you how to leverage a user friendly and visually appealing tool to accomplish Machine Learning Projects.
Creating Machine Learning Projects can be a bit tasking due to the high barrier of understanding Machine Learning languages and ability to debug when issue arise. In this course, Building Machine Learning Models with Azure Machine Learning Designer, you’ll learn to use drag and drop features to create an end-to-end machine learning pipeline for your ML Models. First, you’ll explore how to setup your ML pipeline in the Azure Machine Learning Studio. Then, you’ll learn how to ingest and transform different datasets formats. Finally, you’ll learn how to create models and make predictions in preparation to deploy the model. When you’re finished with this course, you’ll have the skills and knowledge of Building Models with Azure Machine Learning Designer needed to create effective Machine Learning Models.
Register for this course and see more details by visiting:
OpenCourser.com/course/2fof3m/build
What's inside
Syllabus
Course Overview
Setting up a Pipeline with Azure Machine Learning Designer
Ingest Data in a Designer Pipeline
Define a Pipeline Data Flow with Designer Modules
Read more
Syllabus
Course Overview
Setting up a Pipeline with Azure Machine Learning Designer
Ingest Data in a Designer Pipeline
Define a Pipeline Data Flow with Designer Modules
Read more
Applying Machine Learning Algorithms
Publish Machine Learning Models in Azure Machine Learning Designer
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches to leverage a user-friendly tool, Azure ML Designer, to create end-to-end machine learning pipelines, making ML project creation more accessible
Explores how to set up an ML pipeline in Azure Machine Learning Studio, ingest and transform various data formats, create models, and make predictions in preparation for model deployment
Taught by Dayo Bamikole, an experienced instructor in the field of machine learning
Provides a strong foundation for beginners seeking to understand how to build machine learning models using Azure ML Designer
Offers a series of clear and concise modules that guide learners through the process of building machine learning models with Azure ML Designer
Save this course
Save Build Machine Learning Models with Azure Machine Learning Designer to your list so you can find it easily later:
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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 Build Machine Learning Models with Azure Machine Learning Designer with these
activities:
Review Introduction to Machine Learning by Ethem Alpaydin
Show steps
This book will provide a strong foundation in the concepts of machine learning. It will prepare you for success in this course.
View
Machine Learning, revised and updated edition...
on Amazon
Show steps
-
Read the first 3 chapters of the book.
-
Complete the exercises at the end of each chapter.
Follow the Microsoft Learn tutorial on Azure Machine Learning
Show steps
This tutorial from Microsoft is a great way to get started with Azure Machine Learning.
Show steps
-
Go to the Microsoft Learn website and find the tutorial on Azure Machine Learning.
-
Follow the steps in the tutorial.
Review Data Science Background
Show steps
Data Scientists spend a significant amount of time organizing and cleaning their datasets prior to analysis. This activity will help prepare you for the work you will be doing in this course.
Browse courses on
Data Pipeline
Show steps
-
Review Descriptive Statistics
-
Review Data Types
-
Review Data Exploration Methods
13 other activities
Expand to see all activities and additional details
Show all 16 activities
Solve ML Design Challenges
Show steps
Sharpen your ML design skills through targeted exercises.
Browse courses on
Machine Learning
Show steps
-
Find online ML design challenges or resources.
-
Set aside time each day to solve a few challenges.
-
Review your solutions and learn from your mistakes.
Join a study group for this course
Show steps
Studying with peers will reinforce your understanding of the material.
Show steps
-
Find a study group for this course.
-
Attend the study group meetings.
Practice ML Design with Peers
Show steps
Discuss understanding and share tips on designing ML models with classmates.
Browse courses on
Machine Learning
Show steps
-
Find one or two peers interested in the course.
-
Schedule regular virtual meetings for discussion.
-
Bring questions and insights to each meeting.
-
Take turns leading the discussion.
-
Document key takeaways from each session.
Complete Azure ML Designer Tutorial
Show steps
The Azure ML Designer provides a simple GUI for working with data. This tutorial will help familiarize you with its basic functionality.
Show steps
-
Find the Azure ML tutorial
-
Follow steps in the tutorial
Practice creating machine learning pipelines
Show steps
Building a strong foundation in creating ML pipelines will enable you to tackle complex ML projects.
Show steps
-
Create a new pipeline in the Azure Machine Learning Studio
-
Add a dataset to your pipeline
-
Apply a Machine Learning Algorithm to your dataset
-
Publish your ML model
Build a Machine Learning Pipeline
Show steps
In this activity, you will practice building a complete Machine Learning Pipeline similar to the type of work you will do in a professional setting.
Show steps
-
Collect Data
-
Use Azure ML Designer to Clean Data
-
Build Model in Azure ML Designer
-
Test and Evaluate Model
Write a Blog Post on ML Design
Show steps
Solidify your understanding by explaining ML design concepts to others.
Browse courses on
Machine Learning
Show steps
-
Choose a specific ML design topic to write about.
-
Research and gather information from credible sources.
-
Organize your thoughts and write a draft.
-
Review and edit your blog post.
-
Publish your blog post on a relevant platform.
Attend Local ML Meetup
Show steps
Networking with other Machine Learning professionals is a great way to learn about new developments and get feedback on your work.
Show steps
-
Find local meetup
-
Attend meetup
Attend a local Meetup on Azure Machine Learning
Show steps
You will connect with other professionals who are interested in Azure ML.
Show steps
-
Find a local Meetup on Azure Machine Learning.
-
Attend the Meetup.
Build a Personal ML Project
Show steps
Apply the skills learned in the course to develop a unique ML model.
Browse courses on
Machine Learning
Show steps
-
Identify a small-scale ML problem that interests you.
-
Research and gather the necessary data.
-
Design and implement a ML model using Azure ML Designer.
-
Evaluate the performance of the model and make adjustments as needed.
-
Write a brief report summarizing your project and findings.
Create a blog post about your experience with Azure Machine Learning
Show steps
You will synthesize your understanding of Azure ML and share it with others by creating a blog post.
Show steps
-
Choose a topic for your blog post.
-
Write a draft of your blog post.
-
Edit and publish your blog post.
Attend a workshop on Azure Machine Learning
Show steps
Attend a workshop to refine your skills in Azure ML.
Show steps
-
Find a workshop on Azure Machine Learning.
-
Attend the workshop.
Volunteer to help with an open-source Machine Learning project
Show steps
Volunteering on ML projects allows you to apply your skills while giving back to the community.
Show steps
-
Find an open-source Machine Learning project to volunteer for.
-
Contact the project maintainers and offer to help.
Review Introduction to Machine Learning by Ethem Alpaydin
Show steps
This book will provide a strong foundation in the concepts of machine learning. It will prepare you for success in this course.
View
Machine Learning, revised and updated edition...
on Amazon
Show steps
Show steps
Show steps
- Read the first 3 chapters of the book.
- Complete the exercises at the end of each chapter.
Follow the Microsoft Learn tutorial on Azure Machine Learning
Show steps
This tutorial from Microsoft is a great way to get started with Azure Machine Learning.
Show steps
Show steps
Show steps
- Go to the Microsoft Learn website and find the tutorial on Azure Machine Learning.
- Follow the steps in the tutorial.
Review Data Science Background
Show steps
Data Scientists spend a significant amount of time organizing and cleaning their datasets prior to analysis. This activity will help prepare you for the work you will be doing in this course.
Browse courses on
Data Pipeline
Show steps
Show steps
Show steps
- Review Descriptive Statistics
- Review Data Types
- Review Data Exploration Methods
13 other activities
Expand to see all activities and additional details
Show all 16 activities
Solve ML Design Challenges
Show steps
Sharpen your ML design skills through targeted exercises.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Find online ML design challenges or resources.
- Set aside time each day to solve a few challenges.
- Review your solutions and learn from your mistakes.
Join a study group for this course
Show steps
Studying with peers will reinforce your understanding of the material.
Show steps
Show steps
Show steps
- Find a study group for this course.
- Attend the study group meetings.
Practice ML Design with Peers
Show steps
Discuss understanding and share tips on designing ML models with classmates.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Find one or two peers interested in the course.
- Schedule regular virtual meetings for discussion.
- Bring questions and insights to each meeting.
- Take turns leading the discussion.
- Document key takeaways from each session.
Complete Azure ML Designer Tutorial
Show steps
The Azure ML Designer provides a simple GUI for working with data. This tutorial will help familiarize you with its basic functionality.
Show steps
Show steps
Show steps
- Find the Azure ML tutorial
- Follow steps in the tutorial
Practice creating machine learning pipelines
Show steps
Building a strong foundation in creating ML pipelines will enable you to tackle complex ML projects.
Show steps
Show steps
Show steps
- Create a new pipeline in the Azure Machine Learning Studio
- Add a dataset to your pipeline
- Apply a Machine Learning Algorithm to your dataset
- Publish your ML model
Build a Machine Learning Pipeline
Show steps
In this activity, you will practice building a complete Machine Learning Pipeline similar to the type of work you will do in a professional setting.
Show steps
Show steps
Show steps
- Collect Data
- Use Azure ML Designer to Clean Data
- Build Model in Azure ML Designer
- Test and Evaluate Model
Write a Blog Post on ML Design
Show steps
Solidify your understanding by explaining ML design concepts to others.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Choose a specific ML design topic to write about.
- Research and gather information from credible sources.
- Organize your thoughts and write a draft.
- Review and edit your blog post.
- Publish your blog post on a relevant platform.
Attend Local ML Meetup
Show steps
Networking with other Machine Learning professionals is a great way to learn about new developments and get feedback on your work.
Show steps
Show steps
Show steps
- Find local meetup
- Attend meetup
Attend a local Meetup on Azure Machine Learning
Show steps
You will connect with other professionals who are interested in Azure ML.
Show steps
Show steps
Show steps
- Find a local Meetup on Azure Machine Learning.
- Attend the Meetup.
Build a Personal ML Project
Show steps
Apply the skills learned in the course to develop a unique ML model.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Identify a small-scale ML problem that interests you.
- Research and gather the necessary data.
- Design and implement a ML model using Azure ML Designer.
- Evaluate the performance of the model and make adjustments as needed.
- Write a brief report summarizing your project and findings.
Create a blog post about your experience with Azure Machine Learning
Show steps
You will synthesize your understanding of Azure ML and share it with others by creating a blog post.
Show steps
Show steps
Show steps
- Choose a topic for your blog post.
- Write a draft of your blog post.
- Edit and publish your blog post.
Attend a workshop on Azure Machine Learning
Show steps
Attend a workshop to refine your skills in Azure ML.
Show steps
Show steps
Show steps
- Find a workshop on Azure Machine Learning.
- Attend the workshop.
Volunteer to help with an open-source Machine Learning project
Show steps
Volunteering on ML projects allows you to apply your skills while giving back to the community.
Show steps
Show steps
Show steps
- Find an open-source Machine Learning project to volunteer for.
- Contact the project maintainers and offer to help.
Career center
Learners who complete Build Machine Learning Models with Azure Machine Learning Designer will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer collaborates with Data Scientists and Software Engineers to bring Machine Learning models into production. This course helps build a foundation for Machine Learning Engineers by teaching how to use Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Data Analyst
Data Analyst
A Data Analyst collects, processes, and analyzes data to identify trends and patterns. This course helps build a foundation for Data Analysts by teaching how to use Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Data Scientist
Data Scientist
A Data Scientist develops predictive models to solve business problems. This course teaches the skills necessary to use a user friendly and visually appealing tool to accomplish Machine Learning projects. This course may be helpful for aspiring Data Scientists seeking to gain experience with Azure Machine Learning Designer.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and identifies areas for improvement. This course may be useful for Business Analysts who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Software Engineer
Software Engineer
A Software Engineer designs, develops, tests, and maintains software systems. This course may be useful for Software Engineers who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. This course may be useful for Financial Analysts who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Product Manager
Product Manager
A Product Manager develops and manages products. This course may be useful for Product Managers who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Operations Manager
Operations Manager
An Operations Manager oversees the day-to-day operations of a business. This course may be useful for Operations Managers who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Consultant
Consultant
A Consultant provides advice and guidance to clients on a variety of topics. This course may be useful for Consultants who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Doctor
Doctor
A Doctor diagnoses and treats patients. This course may be useful for Doctors who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Entrepreneur
Entrepreneur
An Entrepreneur starts and runs their own business. This course may be useful for Entrepreneurs who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Teacher
Teacher
A Teacher educates students in a variety of subjects. This course may be useful for Teachers who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Marketing Manager
Marketing Manager
A Marketing Manager develops and executes marketing campaigns. This course may be useful for Marketing Managers who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Researcher
Researcher
A Researcher conducts research in a variety of fields. This course may be useful for Researchers who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Sales Manager
Sales Manager
A Sales Manager leads and motivates a sales team. This course may be useful for Sales Managers who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
For more career information including salaries, visit:
OpenCourser.com/course/2fof3m/build
Reading list
We've selected nine 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
Build Machine Learning Models with Azure Machine Learning Designer.
Comprehensive guide to machine learning using the Python programming language. It covers a wide range of topics, from data preparation to model evaluation, and provides hands-on examples.
Provides a comprehensive overview of machine learning algorithms and applications. It valuable resource for those who want to understand the different types of machine learning algorithms and how they can be used to solve real-world problems.
Provides a gentle introduction to machine learning, making it a great starting point for those new to the field. It covers the basics of machine learning, including supervised and unsupervised learning, and provides hands-on examples in Python.
Provides a comprehensive overview of machine learning using the R programming language. It covers a wide range of topics, from data preparation to model evaluation, and provides hands-on examples.
Provides a detailed overview of a wide range of machine learning algorithms. It valuable resource for those who want to understand the different types of machine learning algorithms and how they work.
Provides a practical guide to machine learning for hackers. It covers a wide range of topics, from data collection to model deployment, and valuable resource for those who want to learn how to use machine learning for real-world tasks.
Provides a comprehensive overview of statistical learning with sparsity, a subfield of machine learning that is concerned with learning models that are sparse, meaning that they have a small number of non-zero parameters.
Provides a comprehensive overview of reinforcement learning, a subfield of machine learning that is concerned with learning how to take actions in an environment in order to maximize a reward.
Save
Provides a comprehensive overview of deep learning, a subfield of machine learning that has been used to achieve state-of-the-art results in a wide range of tasks, such as image recognition and natural language processing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2fof3m/build
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Time
69 hours
Level
Intermediate
Via
Pluralsight
Instructor
Dayo Bamikole
Language
English
Good to know
Teaches to leverage a user-friendly tool, Azure ML Designer, to create end-to-end machine learning pipelines, making ML project creation more accessible
Explores how to set up an ML pipeline in Azure Machine Learning Studio, ingest and transform various data formats, create models, and make predictions in preparation for model deployment
Taught by Dayo Bamikole, an experienced instructor in the field of machine learning
Provides a strong foundation for beginners seeking to understand how to build machine learning models using Azure ML Designer
Offers a series of clear and concise modules that guide learners through the process of building machine learning models with Azure ML Designer
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