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Laura Ramov
Did you know that there is more than one way you can deploy models in Azure?
This Guided Project “Deploy machine learning models in Azure” is for everybody working with ml models in Azure . In this 1-hour long project-based course, you will learn how to deploy machine learning models from Portal in Azure, deploy machine learning models in Azure from Python script and deploy machine learning models using Azure CLI.
To achieve this, we will use one example data, train a machine learning model, prepare all the files needed for deployment and deploy it! There a couple of ways of deployment in Azure, so you can pick your most convenient...
Read more
Did you know that there is more than one way you can deploy models in Azure?
This Guided Project “Deploy machine learning models in Azure” is for everybody working with ml models in Azure . In this 1-hour long project-based course, you will learn how to deploy machine learning models from Portal in Azure, deploy machine learning models in Azure from Python script and deploy machine learning models using Azure CLI.
To achieve this, we will use one example data, train a machine learning model, prepare all the files needed for deployment and deploy it! There a couple of ways of deployment in Azure, so you can pick your most convenient...
Read more
Did you know that there is more than one way you can deploy models in Azure?
This Guided Project “Deploy machine learning models in Azure” is for everybody working with ml models in Azure . In this 1-hour long project-based course, you will learn how to deploy machine learning models from Portal in Azure, deploy machine learning models in Azure from Python script and deploy machine learning models using Azure CLI.
To achieve this, we will use one example data, train a machine learning model, prepare all the files needed for deployment and deploy it! There a couple of ways of deployment in Azure, so you can pick your most convenient and favourite one. In order to be successful in this project, you will need knowledge of Python language and experience with machine learning in Python. Also, Azure subscription is required (free trial is an option for those who don’t have it), as well as Azure Machine Learning resource and a compute instance within. Instructional links will be provided to guide you through creation, if needed.
Let's get started!
Register for this course and see more details by visiting:
OpenCourser.com/course/csnww1/deploy
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches methods for deploying ML models in Azure using multiple delivery channels, catering to various skill levels
Provides practical, hands-on experience through a guided project, allowing learners to apply their knowledge
Assumes proficiency in Python and machine learning fundamentals, making it suitable for intermediate learners
Requires Azure subscription and resources, which may incur costs for some learners
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Save Deploy Machine Learning Models in Azure 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 Deploy Machine Learning Models in Azure with these
activities:
Data Cleaning Practice
Show steps
Practice data cleaning techniques on real-world datasets
Show steps
-
Download and explore a public dataset
-
Identify and handle missing values
-
Normalize and transform data
Azure Machine Learning Foundation
Show steps
Familiarize with the basics of Azure Machine Learning platform
Show steps
-
Complete the Microsoft Learn modules on Azure Machine Learning
-
Follow along with the official Azure Machine Learning tutorials
Project Discussion Group
Show steps
Collaborate with peers and share knowledge on machine learning projects
Show steps
-
Join a study group or discussion forum
-
Present your projects and gather feedback
-
Participate in discussions and provide support to others
Two other activities
Expand to see all activities and additional details
Show all five activities
Develop a Machine Learning Pipeline
Show steps
Apply the course concepts to build an end-to-end machine learning pipeline
Show steps
-
Define the problem statement and data requirements
-
Choose and train a machine learning model
-
Implement the pipeline using Azure Machine Learning service
Azure Machine Learning Hackathon
Show steps
Participate in a hands-on event to solve real-world machine learning challenges
Show steps
-
Register for the hackathon
-
Collaborate with a team to develop a project
-
Present your project and compete for prizes
Data Cleaning Practice
Show steps
Practice data cleaning techniques on real-world datasets
Show steps
Show steps
Show steps
- Download and explore a public dataset
- Identify and handle missing values
- Normalize and transform data
Azure Machine Learning Foundation
Show steps
Familiarize with the basics of Azure Machine Learning platform
Show steps
Show steps
Show steps
- Complete the Microsoft Learn modules on Azure Machine Learning
- Follow along with the official Azure Machine Learning tutorials
Project Discussion Group
Show steps
Collaborate with peers and share knowledge on machine learning projects
Show steps
Show steps
Show steps
- Join a study group or discussion forum
- Present your projects and gather feedback
- Participate in discussions and provide support to others
Two other activities
Expand to see all activities and additional details
Show all five activities
Develop a Machine Learning Pipeline
Show steps
Apply the course concepts to build an end-to-end machine learning pipeline
Show steps
Show steps
Show steps
- Define the problem statement and data requirements
- Choose and train a machine learning model
- Implement the pipeline using Azure Machine Learning service
Azure Machine Learning Hackathon
Show steps
Participate in a hands-on event to solve real-world machine learning challenges
Show steps
Show steps
Show steps
- Register for the hackathon
- Collaborate with a team to develop a project
- Present your project and compete for prizes
Career center
Learners who complete Deploy Machine Learning Models in Azure will develop knowledge and skills
that may be useful to these careers:
Project Manager
Project Manager
Project Managers plan, execute, and close projects. They use their knowledge of project management methodologies and best practices to ensure that projects are completed on time, within budget, and to the satisfaction of stakeholders. This course can help you gain the skills you need to become a Project Manager by teaching you how to deploy machine learning models in Azure. Deploying models is an essential skill for Project Managers, as it allows them to make their models available to end users.
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, machine learning, and data analysis to extract insights from data. They use these insights to help businesses make better decisions. This course can help you gain the skills you need to become a Data Scientist by teaching you how to deploy machine learning models in Azure. Deploying models is an essential skill for Data Scientists, as it allows them to make their models available to end users.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. They use their knowledge of machine learning algorithms and techniques to build models that can solve real-world problems. This course can help you gain the skills you need to become a Machine Learning Engineer by teaching you how to deploy machine learning models in Azure. Deploying models is an essential skill for Machine Learning Engineers, as it allows them to make their models available to end users.
Business Analyst
Business Analyst
Business Analysts work with businesses to identify and solve problems. They use their knowledge of business processes and data analysis techniques to develop solutions that meet the needs of the business. This course can help you gain the skills you need to become a Business Analyst by teaching you how to deploy machine learning models in Azure. Deploying models is an essential skill for Business Analysts, as it allows them to make their models available to end users.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their knowledge of programming languages and software development methodologies to build applications that meet the needs of users. This course can help you gain the skills you need to become a Software Engineer by teaching you how to deploy machine learning models in Azure. Deploying models is an essential skill for Software Engineers, as it allows them to make their models available to end users.
Data Analyst
Data Analyst
Data Analysts use their knowledge of data analysis techniques to extract insights from data. They use these insights to help businesses make better decisions. This course can help you gain the skills you need to become a Data Analyst by teaching you how to deploy machine learning models in Azure. Deploying models is an essential skill for Data Analysts, as it allows them to make their models available to end users.
Product Manager
Product Manager
Product Managers work with customers and stakeholders to define, develop, and launch new products. They use their knowledge of product management methodologies and best practices to ensure that products meet the needs of customers. This course can help you gain the skills you need to become a Product Manager by teaching you how to deploy machine learning models in Azure. Deploying models is an essential skill for Product Managers, as it allows them to make their models available to end users.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing systems. They use their knowledge of cloud computing technologies and best practices to build systems that are reliable, scalable, and secure. This course can help you gain the skills you need to become a Cloud Architect by teaching you how to deploy machine learning models in Azure. Deploying models is an essential skill for Cloud Architects, as it allows them to make their models available to end users.
DevOps Engineer
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. They use their knowledge of software development and operations methodologies to ensure that software is delivered quickly and reliably. This course can help you gain the skills you need to become a DevOps Engineer by teaching you how to deploy machine learning models in Azure. Deploying models is an essential skill for DevOps Engineers, as it allows them to make their models available to end users.
IT Manager
IT Manager
IT Managers plan, organize, and direct the activities of an organization's IT department. They use their knowledge of IT management best practices to ensure that the IT department meets the needs of the organization. This course can help you gain the skills you need to become an IT Manager by teaching you how to deploy machine learning models in Azure. Deploying models is an essential skill for IT Managers, as it allows them to make their models available to end users.
Technical Writer
Technical Writer
Technical Writers create and maintain documentation for software and hardware products. They use their knowledge of technical writing best practices to create documentation that is clear, concise, and accurate. This course can help you gain the skills you need to become a Technical Writer by teaching you how to deploy machine learning models in Azure. Deploying models is an essential skill for Technical Writers, as it allows them to make their models available to end users.
CIO
CIO
CIOs are responsible for the overall management of an organization's IT resources. They use their knowledge of IT management best practices to ensure that the IT department meets the needs of the organization. This course can help you gain the skills you need to become a CIO by teaching you how to deploy machine learning models in Azure. Deploying models is an essential skill for CIOs, as it allows them to make their models available to end users.
Sales Engineer
Sales Engineer
Sales Engineers work with customers to identify and solve problems. They use their knowledge of products and services to help customers find the best solutions for their needs. This course can help you gain the skills you need to become a Sales Engineer by teaching you how to deploy machine learning models in Azure. Deploying models is an essential skill for Sales Engineers, as it allows them to make their models available to end users.
IT Director
IT Director
IT Directors are responsible for the overall management of an organization's IT department. They use their knowledge of IT management best practices to ensure that the IT department meets the needs of the organization. This course can help you gain the skills you need to become an IT Director by teaching you how to deploy machine learning models in Azure. Deploying models is an essential skill for IT Directors, as it allows them to make their models available to end users.
CTO
CTO
CTOs are responsible for the overall management of an organization's technology strategy. They use their knowledge of technology best practices to ensure that the organization's technology investments meet the needs of the business. This course can help you gain the skills you need to become a CTO by teaching you how to deploy machine learning models in Azure. Deploying models is an essential skill for CTOs, as it allows them to make their models available to end users.
For more career information including salaries, visit:
OpenCourser.com/course/csnww1/deploy
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
Deploy Machine Learning Models in Azure.
Save
Provides a comprehensive introduction to deep learning, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. It good resource for those who want to learn the fundamentals of deep learning.
Provides a Bayesian and optimization perspective on machine learning, covering topics such as Bayesian inference, graphical models, and optimization algorithms. It good resource for those who want to understand the theoretical foundations of machine learning.
Provides a modern approach to machine learning, covering topics such as statistical learning, neural networks, and reinforcement learning. It good resource for those who want to learn the latest advances in machine learning.
Provides a comprehensive introduction to pattern recognition and machine learning, covering topics such as statistical learning, neural networks, and support vector machines. It good resource for those who want to learn the fundamentals of pattern recognition and machine learning.
Save
Provides an algorithmic perspective on machine learning, covering topics such as decision trees, support vector machines, and neural networks. It good resource for those who want to understand the algorithms behind machine learning.
Provides a practical introduction to machine learning for hackers, covering topics such as data preprocessing, model training, and evaluation. It good resource for those who want to learn how to use machine learning for practical tasks.
Provides a concise introduction to machine learning, covering topics such as data preprocessing, model training, and evaluation. It good resource for beginners who want to learn the fundamentals of machine learning.
Provides a comprehensive introduction to deep learning with Python, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. It good resource for those who want to learn the fundamentals of deep learning.
Provides a very gentle introduction to machine learning, covering topics such as data preprocessing, model training, and evaluation. It good resource for beginners who have no prior knowledge of machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/csnww1/deploy
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Time
1 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Laura Ramov
Good to know
Teaches methods for deploying ML models in Azure using multiple delivery channels, catering to various skill levels
Provides practical, hands-on experience through a guided project, allowing learners to apply their knowledge
Assumes proficiency in Python and machine learning fundamentals, making it suitable for intermediate learners
Requires Azure subscription and resources, which may incur costs for some learners
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