Microsoft Azure Machine Learning for Data Scientists faq

instructor Instructor: Microsoft instructor-icon
duration Duration: duration-icon

Data scientists can use Microsoft Azure Machine Learning to quickly and easily create and publish predictive models. This course provides an introduction to automated machine learning, allowing users to create models without writing code and save time and resources.

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Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

22nd May, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)

Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code.

This is the second course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azurecertification exam.

The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at a cloud-scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam.

This Specialization is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. It teaches data scientists how to create end-to-end solutions in Microsoft Azure. Students will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions, and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.What can you get from this course?
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
This course will provide learners with a variety of skills and knowledge, including an understanding of Microsoft Azure, machine learning concepts, data science, and cloud computing. Learners will gain the ability to use Microsoft Azure to create and publish machine learning models without writing code, as well as the skills to explore, prepare, and model data using Azure Databricks. They will also learn how to use Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring. Additionally, learners will gain an understanding of how to leverage cloud computing to build and operate machine learning solutions at a cloud-scale, and how to implement responsible machine learning.

How does this course contribute to professional growth?
This course provides learners with the opportunity to gain a comprehensive understanding of Microsoft Azure, Machine Learning, Data Science, and Cloud Computing. Through this course, learners can develop the skills to create end-to-end solutions in Microsoft Azure, use Python and machine learning frameworks to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring. Additionally, learners can learn how to use Azure Databricks to explore, prepare, and model data, and integrate Databricks machine learning processes with Azure Machine Learning. By mastering these skills, learners can contribute to their professional growth by being able to create and publish machine learning models without writing code, manage Azure resources for machine learning, and leverage cloud computing to build and operate machine learning solutions at a cloud-scale.

Is this course suitable for preparing further education?
This Microsoft Azure Machine Learning for Data Scientists course is suitable for preparing further education. Learners can gain an understanding of the core concepts of machine learning and how to use them to create predictive models. They can also develop the skills to create end-to-end solutions in Microsoft Azure, leveraging cloud computing to build and operate machine learning solutions at a cloud-scale. Additionally, learners can learn how to use Microsoft Azure to create and publish machine learning models without writing code, and how to use Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring.

Pros & Cons

Pros Cons
  • pros

    Great content with helpful exercises

  • pros

    Excellent course

  • pros

    Hands on experience with ML in Azure

  • cons

    Bugs on the code

  • cons

    Typos and unclear instructions

  • cons

    Course under maintenance

Course Provider

Provider Coursera's Stats at AZClass

Discussion and Reviews

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faq FAQ for Microsoft Azure Courses

Q1: What is Microsoft Azure Machine Learning for Data Scientists?

Microsoft Azure Machine Learning for Data Scientists is a course designed to help data scientists learn how to use Microsoft Azure cloud computing services to build and deploy machine learning models. The course covers topics such as artificial intelligence, big data, predictive analytics, and data science. It also provides hands-on experience with Azure Machine Learning Studio, a cloud-based platform for creating and deploying machine learning models.

Q2: What topics are covered in the Microsoft Azure Machine Learning for Data Scientists course?

The Microsoft Azure Machine Learning for Data Scientists course covers topics such as artificial intelligence, big data, predictive analytics, and data science. It also provides hands-on experience with Azure Machine Learning Studio, a cloud-based platform for creating and deploying machine learning models. Additionally, the course covers topics related to cloud computing, such as setting up and managing Azure resources, deploying models to the cloud, and monitoring and managing machine learning models.

Q3: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q4: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q5: Can I take this course for free?

Yes, this is a free course offered by Coursera, please click the "go to class" button to access more details.

Q6: How many people have enrolled in this course?

So far, a total of 0 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q7: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Coursera's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Coursera may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Microsoft Azure courses and certifications, our extensive collection at azclass.net will help you.

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