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Create Machine Learning Models in Microsoft Azure
  • Level Professional
  • Duration 13 hours
  • Course by Microsoft
  • Offered by

About

Machine learning is the foundation for predictive modeling and artificial intelligence. If you want to learn about both the underlying concepts and how to get into building models with the most common machine learning tools this path is for you. In this course, you will learn the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models. This course is designed to prepare you for roles that include planning and creating a suitable working environment for data science workloads on Azure. You will learn how to run data experiments and train predictive models. In addition, you will manage, optimize, and deploy machine learning models into production. From the most basic classical machine learning models, to exploratory data analysis and customizing architectures, you’ll be guided by easy -to-digest conceptual content and interactive Jupyter notebooks. If you already have some idea what machine learning is about or you have a strong mathematical background this course is perfect for you. These modules teach some machine learning concepts, but move fast so they can get to the power of using tools like scikit-learn, TensorFlow, and PyTorch. This learning path is also the best one for you if you're looking for just enough familiarity to understand machine learning examples for products like Azure ML or Azure Databricks. It's also a good place to start if you plan to move beyond classic machine learning and get an education in deep learning and neural networks, which we only introduce here. This program consists of 5 courses to help prepare you to take the Exam DP-100: Designing and Implementing a Data Science Solution on Azure. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at 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.

Modules

Introduction to the program

    • 2 Videos
    • 3 Readings
    • 1 Discussion
Show info about module content

1 Discussions

  • Meet and Greet

2 Videos

  • Introduction to the course
  • Exam DP-100: Designing and Implementing a Data Science Solution on Azure certification

3 Readings

  • Course syllabus
  • Exam DP-100: ​Skills Measured
  • How to be successful in this course

Explore & Analyse Data with Python

    • 2 Videos
    • 6 Readings
    • 1 Quiz
    • 3 Assignment
Show info about module content

3 Assignment

  • Exercise Quiz
  • Exercise Quiz
  • Exercise Quiz

2 Videos

  • Lesson introduction
  • Lesson summary

6 Readings

  • Explore data with NumPy and Pandas
  • Exercise - Explore data with NumPy and Pandas
  • Visualize data
  • Exercise - Visualize data with Matplotlib
  • Examine real world data
  • Exercise - Examine real world data

1 Quiz

  • Knowledge check

Train and Evaluate Regression Models

    • 3 Videos
    • 5 Readings
    • 2 Quiz
    • 3 Assignment
Show info about module content

3 Assignment

  • Exercise quiz
  • Exercise quiz
  • Exercise Quiz

3 Videos

  • Lesson introduction
  • What is regression?
  • Lesson summary

5 Readings

  • Exercise - Train and evaluate a regression model
  • Discover new regression models
  • Exercise - Experiment with more powerful regression models
  • Improve models with hyperparameters
  • Exercise - Optimize and save models

2 Quiz

  • Knowledge check
  • Test prep

Train and Evaluate Classification Models

    • 4 Videos
    • 4 Readings
    • 4 Assignment
Show info about module content

4 Assignment

  • Exercise quiz
  • Exercise Quiz
  • Exercise Quiz​
  • Knowledge check

4 Videos

  • Lesson introduction
  • What is classification?
  • Evaluate classification models
  • Lesson summary

4 Readings

  • Exercise - Train and evaluate a classification model
  • Exercise - Perform classification with alternative metrics
  • Create multiclass classification models
  • Exercise - Train and evaluate multiclass classification models

Train and Evaluate Clustering Models

    • 3 Videos
    • 3 Readings
    • 2 Quiz
    • 2 Assignment
Show info about module content

2 Assignment

  • Exercise quiz
  • Exercise quiz

3 Videos

  • Lesson introduction
  • What is clustering
  • Lesson summary

3 Readings

  • Exercise - Train and evaluate a clustering model
  • Evaluate different types of clustering
  • Exercise - Train and evaluate advanced clustering models

2 Quiz

  • Knowledge check
  • Test prep

Train a deep neural network

    • 3 Videos
    • 1 Readings
    • 1 Quiz
    • 1 Assignment
Show info about module content

1 Assignment

  • Exercise quiz

3 Videos

  • Lesson introduction
  • Deep neural network concepts
  • Lesson summary

1 Readings

  • Exercise - Train a deep neural network

1 Quiz

  • Knowledge check

Train a convolutional neural network

    • 4 Videos
    • 2 Readings
    • 2 Quiz
    • 2 Assignment
Show info about module content

2 Assignment

  • Exercise quiz
  • Exercise quiz

4 Videos

  • Lesson introduction
  • Layers in a convolutional neural network
  • Transfer learning
  • Lesson summary

2 Readings

  • Exercise - Train a convolutional neural network
  • Exercise - Use transfer learning

2 Quiz

  • Knowledge check
  • Test prep

Course wrap-up

    • 1 Videos
    • 1 Readings
    • 1 Discussion
Show info about module content

1 Discussions

  • New Discussion Prompt

1 Videos

  • Course wrap up

1 Readings

  • What to expect next

Auto Summary

Embark on mastering machine learning in Microsoft Azure with this comprehensive IT & Computer Science course. Led by Coursera, this 780-hour professional-level program covers core principles, tools like scikit-learn, TensorFlow, and PyTorch, and prepares you for the Exam DP-100. Ideal for those with a mathematical background or basic ML knowledge, the course guides you through data experiments, model training, and deployment, all with interactive Jupyter notebooks. Perfect for aspiring data scientists and ML engineers seeking to leverage Azure for predictive modeling and AI solutions. Available via a Starter subscription.

Microsoft
Instructor

Microsoft