Create Machine Learning Models in Microsoft Azure
This course provides an introduction to the fundamentals of machine learning and how to use Microsoft Azure to create and deploy models. Participants will gain an understanding of the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models. ▼
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Course Feature
Cost:
Free
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
8th 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 skills and knowledge will you acquire during this course?
This course will provide learners with the skills and knowledge to understand the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models. Learners will gain an understanding of topics such as data experiments, predictive models, model optimization, and model deployment. They will also learn how to pursue a career in data science, machine learning, or artificial intelligence, as well as how to pursue certifications such as the Exam DP-100: Designing and Implementing a Data Science Solution on Azure.
How does this course contribute to professional growth?
This course provides learners with the knowledge and skills necessary to create machine learning models in Microsoft Azure. It covers topics such as data experiments, predictive models, model optimization, and model deployment. By completing this course, learners can gain the skills necessary to pursue a career in data science, machine learning, or artificial intelligence. They can also use the skills they learn to pursue certifications such as the Exam DP-100: Designing and Implementing a Data Science Solution on Azure. This course can contribute to professional growth by providing learners with the necessary skills to pursue a career in the field and stay up to date on the latest developments.
Is this course suitable for preparing further education?
This course is suitable for preparing further education in the field of machine learning, data science, and artificial intelligence. It covers the core principles of machine learning and provides learners with the tools and frameworks to train, evaluate, and use machine learning models. Learners should supplement this course with additional courses in Python, mathematics, and statistics, as well as practice their skills by working on projects related to machine learning and data science. Additionally, they should stay up to date on the latest developments in the field by reading industry publications and attending conferences. This course can also help learners pursue certifications such as the Exam DP-100: Designing and Implementing a Data Science Solution on Azure.
Pros & Cons
Easy to understand concepts.
Clear explanations and engaging content.
Up to date Jupyter books.
Requires free trial subscription.
Deep Learning Model teaching can be improved.
AzureML is the future.
Course Provider
Provider Coursera's Stats at AZClass
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