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Create Machine Learning Models in Microsoft Azure

Learn to develop and deploy machine learning models using Azure, from data exploration to deep neural networks. Perfect for DP-100 exam prep.

Learn to develop and deploy machine learning models using Azure, from data exploration to deep neural networks. Perfect for DP-100 exam prep.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Microsoft Azure Data Scientist Associate (DP-100) Exam Prep Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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Create Machine Learning Models in Microsoft Azure

This course includes

10 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Plan and create data science workloads on Azure

  • Run data experiments and train predictive models

  • Use Python for data exploration and visualization

  • Implement regression and classification models

  • Create and evaluate clustering models

  • Develop deep neural networks using PyTorch or TensorFlow

Skills you'll gain

Machine Learning
Azure ML
Python
Data Science
Neural Networks
Deep Learning
Regression
Classification
Clustering
PyTorch

This course includes:

0.77 Hours PreRecorded video

8 quizzes, 15 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 3 modules in this course

This comprehensive course teaches the fundamentals of machine learning using Microsoft Azure. Students learn to plan and create data science environments, run experiments, and train predictive models. The curriculum covers classical machine learning concepts, exploratory data analysis, and deep learning, using tools like scikit-learn, TensorFlow, and PyTorch. The course prepares learners for the DP-100 certification exam and provides hands-on experience with Azure Machine Learning services.

Explore data and create models to predict numeric values

Module 1 · 4 Hours to complete

Train and evaluate classification and clustering models

Module 2 · 3 Hours to complete

Train and evaluate deep learning models

Module 3 · 2 Hours to complete

Fee Structure

Instructor

Microsoft
Microsoft

4.8 rating

5 Reviews

10,88,935 Students

206 Courses

Empowering Individuals and Organizations Through Technology

Microsoft's mission is "to empower every person and every organization on the planet to achieve more," reflecting its commitment to leveraging technology for global empowerment. The company aims to drive digital transformation through an integrated cloud approach, creating a robust platform that enhances productivity and accessibility for users worldwide. Its vision statement emphasizes the goal of democratizing artificial intelligence, ensuring that AI technologies are accessible and beneficial for everyone. This focus on empowerment and inclusivity underpins Microsoft's strategies and product development, positioning it as a leader in innovation within the technology sector. The company has consistently pursued excellence by fostering a culture of innovation, diversity, and corporate social responsibility, ultimately aiming to improve quality of life and facilitate progress across various fields, including education, healthcare, and business.

Create Machine Learning Models in Microsoft Azure

This course includes

10 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.5 course rating

254 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.