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Erick Galinkin,
Noah Gift,
Soham Chatterjee,
and
Alfredo Deza
This capstone project gives you the opportunity to use the Azure Machine learning knowledge you have obtained from this Nanodegree to solve the problem of your interest.
Register for this course and see more details by visiting:
OpenCourser.com/course/mzt7xc/capstone
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What's inside
Syllabus
This capstone project gives you the opportunity to use the Azure Machine learning knowledge you have obtained from this Nanodegree to solve the problem of your interest.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
May be taken prior to other Nanodegrees in the program with experience and background knowledge
Exercises practical application of skills using Azure Machine Learning gained from previous courses
Provides an opportunity to develop a professional portfolio
Taught by experienced industry professionals
Save this course
Save Capstone - Azure Machine Learning Engineer to your list so you can find it easily later:
Save
Save
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 Capstone - Azure Machine Learning Engineer with these
activities:
Create a comprehensive study guide
Show steps
Enhances your organization and helps you identify areas where you need further review.
Browse courses on
Machine Learning
Show steps
-
Gather all course materials, including notes, assignments, and readings.
-
Summarize key concepts and highlight important points.
-
Identify areas where you need additional support.
Practice Machine Learning algorithms
Show steps
Reinforces your understanding of Machine Learning algorithms, which will be essential for success in this course.
Browse courses on
Machine Learning
Show steps
-
Review linear regression, logistic regression, and decision trees.
-
Solve practice problems on Kaggle or LeetCode.
Join a study group for this course
Show steps
Provides opportunities to collaborate with peers, ask questions, and reinforce your understanding.
Browse courses on
Machine Learning
Show steps
-
Find a study group or create your own.
-
Meet regularly to discuss course material.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Build a Machine Learning model
Show steps
Provides hands-on experience with the entire Machine Learning workflow, from data preparation to model evaluation.
Browse courses on
Machine Learning
Show steps
-
Choose a dataset and define a problem statement.
-
Preprocess the data and train a model.
-
Evaluate the model's performance.
Attend a workshop on Azure Machine Learning
Show steps
Provides an immersive and interactive learning experience led by experts.
Browse courses on
Azure Machine Learning
Show steps
-
Research and identify relevant Azure Machine Learning workshops.
-
Register for a workshop that aligns with your interests.
-
Actively participate in the workshop and ask questions.
Follow online tutorials on advanced Machine Learning topics
Show steps
Expands your knowledge of Machine Learning beyond the scope of this course.
Browse courses on
Machine Learning
Show steps
-
Identify specific areas where you want to improve your knowledge.
-
Find reputable online tutorials or courses on those topics.
-
Follow the tutorials and complete the exercises.
Write a blog post on Azure Machine Learning
Show steps
Deepens your understanding of Azure Machine Learning and improves your communication skills.
Browse courses on
Azure Machine Learning
Show steps
-
Choose a specific topic related to Azure Machine Learning.
-
Research and gather information from reliable sources.
-
Write a well-structured and informative blog post.
Create a comprehensive study guide
Show steps
Enhances your organization and helps you identify areas where you need further review.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Gather all course materials, including notes, assignments, and readings.
- Summarize key concepts and highlight important points.
- Identify areas where you need additional support.
Practice Machine Learning algorithms
Show steps
Reinforces your understanding of Machine Learning algorithms, which will be essential for success in this course.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Review linear regression, logistic regression, and decision trees.
- Solve practice problems on Kaggle or LeetCode.
Join a study group for this course
Show steps
Provides opportunities to collaborate with peers, ask questions, and reinforce your understanding.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Find a study group or create your own.
- Meet regularly to discuss course material.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Build a Machine Learning model
Show steps
Provides hands-on experience with the entire Machine Learning workflow, from data preparation to model evaluation.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Choose a dataset and define a problem statement.
- Preprocess the data and train a model.
- Evaluate the model's performance.
Attend a workshop on Azure Machine Learning
Show steps
Provides an immersive and interactive learning experience led by experts.
Browse courses on
Azure Machine Learning
Show steps
Show steps
Show steps
- Research and identify relevant Azure Machine Learning workshops.
- Register for a workshop that aligns with your interests.
- Actively participate in the workshop and ask questions.
Follow online tutorials on advanced Machine Learning topics
Show steps
Expands your knowledge of Machine Learning beyond the scope of this course.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Identify specific areas where you want to improve your knowledge.
- Find reputable online tutorials or courses on those topics.
- Follow the tutorials and complete the exercises.
Write a blog post on Azure Machine Learning
Show steps
Deepens your understanding of Azure Machine Learning and improves your communication skills.
Browse courses on
Azure Machine Learning
Show steps
Show steps
Show steps
- Choose a specific topic related to Azure Machine Learning.
- Research and gather information from reliable sources.
- Write a well-structured and informative blog post.
Career center
Learners who complete Capstone - Azure Machine Learning Engineer will develop knowledge and skills
that may be useful to these careers:
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course provides a foundation in Azure Machine Learning, which is a cloud-based platform for building, training, and deploying machine learning models. The skills and knowledge gained in this course can help you succeed as a Software Engineer by providing you with the ability to build and deploy machine learning models in the cloud.
Data Scientist
Data Scientist
Data Scientists use machine learning and other statistical techniques to extract insights from data. This course provides a foundation in Azure Machine Learning, which is a cloud-based platform for building, training, and deploying machine learning models. The skills and knowledge gained in this course can help you succeed as a Data Scientist by providing you with the ability to build and deploy machine learning models in the cloud.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for the development and maintenance of machine learning models. This course provides a foundation in Azure Machine Learning, which is a cloud-based platform for building, training, and deploying machine learning models. The skills and knowledge gained in this course can help you succeed as a Machine Learning Engineer by providing you with the ability to build and deploy machine learning models in the cloud.
Business Analyst
Business Analyst
Business Analysts use data and analytics to improve business processes. This course provides a foundation in Azure Machine Learning, which is a cloud-based platform for building, training, and deploying machine learning models. The skills and knowledge gained in this course can help you succeed as a Business Analyst by providing you with the ability to use machine learning to improve business processes.
Data Analyst
Data Analyst
Data Analysts use data and analytics to solve business problems. This course provides a foundation in Azure Machine Learning, which is a cloud-based platform for building, training, and deploying machine learning models. The skills and knowledge gained in this course can help you succeed as a Data Analyst by providing you with the ability to use machine learning to solve business problems.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. This course provides a foundation in Azure Machine Learning, which is a cloud-based platform for building, training, and deploying machine learning models. The skills and knowledge gained in this course can help you succeed as a Data Engineer by providing you with the ability to build and deploy machine learning models in the cloud.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematics and statistics to analyze financial data. This course provides a foundation in Azure Machine Learning, which is a cloud-based platform for building, training, and deploying machine learning models. The skills and knowledge gained in this course can help you succeed as a Quantitative Analyst by providing you with the ability to use machine learning to analyze financial data.
Statistician
Statistician
Statisticians use mathematics and statistics to collect, analyze, and interpret data. This course provides a foundation in Azure Machine Learning, which is a cloud-based platform for building, training, and deploying machine learning models. The skills and knowledge gained in this course can help you succeed as a Statistician by providing you with the ability to use machine learning to analyze data.
Machine Learning Researcher
Machine Learning Researcher
Machine Learning Researchers develop new machine learning algorithms and techniques. This course provides a foundation in Azure Machine Learning, which is a cloud-based platform for building, training, and deploying machine learning models. The skills and knowledge gained in this course can help you succeed as a Machine Learning Researcher by providing you with the ability to build and deploy machine learning models in the cloud.
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts use data to create visual representations of data. This course provides a foundation in Azure Machine Learning, which is a cloud-based platform for building, training, and deploying machine learning models. The skills and knowledge gained in this course may help you succeed as a Data Visualization Analyst by providing you with the ability to use machine learning to create visual representations of data.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematics and statistics to solve complex business problems. This course provides a foundation in Azure Machine Learning, which is a cloud-based platform for building, training, and deploying machine learning models. The skills and knowledge gained in this course may help you succeed as an Operations Research Analyst by providing you with the ability to use machine learning to solve complex business problems.
Product Manager
Product Manager
Product Managers develop and manage products. This course provides a foundation in Azure Machine Learning, which is a cloud-based platform for building, training, and deploying machine learning models. The skills and knowledge gained in this course may help you succeed as a Product Manager by providing you with the ability to develop and manage products that involve machine learning.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to make informed business decisions. This course provides a foundation in Azure Machine Learning, which is a cloud-based platform for building, training, and deploying machine learning models. The skills and knowledge gained in this course may help you succeed as a Business Intelligence Analyst by providing you with the ability to use machine learning to make informed business decisions.
Market Research Analyst
Market Research Analyst
Market Research Analysts use data to understand market trends and consumer behavior. This course provides a foundation in Azure Machine Learning, which is a cloud-based platform for building, training, and deploying machine learning models. The skills and knowledge gained in this course may help you succeed as a Market Research Analyst by providing you with the ability to use machine learning to understand market trends and consumer behavior.
Project Manager
Project Manager
Project Managers plan and execute projects. This course provides a foundation in Azure Machine Learning, which is a cloud-based platform for building, training, and deploying machine learning models. The skills and knowledge gained in this course may help you succeed as a Project Manager by providing you with the ability to manage projects that involve machine learning.
For more career information including salaries, visit:
OpenCourser.com/course/mzt7xc/capstone
Reading list
We've selected seven 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
Capstone - Azure Machine Learning Engineer.
Serves as a reference for Azure Machine Learning, covering the key concepts and features of the service.
Provides a comprehensive introduction to machine learning using Azure Machine Learning. It covers the fundamentals of machine learning, as well as how to use Azure Machine Learning to build and deploy machine learning models.
Provides a practical introduction to building real-world deep learning models using Keras, the high-level neural networks API, written by its creator.
Covers deep learning concepts and techniques, with a focus on using Azure AI Platform. It provides hands-on exercises and examples that illustrate how to apply these concepts to real-world problems.
Provides provides a comprehensive introduction to artificial intelligence, covering the core concepts and techniques.
Save
Provides a theoretical foundation for machine learning, with a focus on Bayesian and optimization techniques.
Covers the fundamentals of reinforcement learning, with a focus on theoretical foundations and algorithms.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/mzt7xc/capstone
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Time
40320 hours
Level
Intermediate
Via
Udacity
Instructors
Erick Galinkin
Noah Gift
Soham Chatterjee
Alfredo Deza
Language
English
Good to know
May be taken prior to other Nanodegrees in the program with experience and background knowledge
Exercises practical application of skills using Azure Machine Learning gained from previous courses
Provides an opportunity to develop a professional portfolio
Taught by experienced industry professionals
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