Create Machine Learning Models in Microsoft Azure Offered By Microsoft

Predictive modeling and artificial intelligence are built on the foundation of machine learning. This course is for you if you want to understand both the fundamental ideas and how to build models using the most prevalent machine learning tools. This course will teach you the fundamentals of machine learning and how to train, test, and use machine learning models using common tools and frameworks.

Create Machine Learning Models in Microsoft Azure Offered By Microsoft will prepare you for roles that need you to plan and set up an appropriate working environment for data science workloads on Azure. You'll discover how to conduct data experiments and develop predictive models. You'll also be in charge of managing, optimizing, and deploying machine learning models in production.

You'll be guided with easy-to-digest conceptual content and interactive Jupyter notebooks as you progress from the most fundamental classical machine learning models through exploratory data analysis and customizing architectures.

This course is ideal for you if you already have some knowledge of machine learning or have a strong mathematics background. These lessons cover some machine learning ideas but move quickly so that students may learn how to use tools like scikit-learn, TensorFlow, and PyTorch to their full potential. This is also the best learning path for you if you only need a basic understanding of machine learning to grasp examples for Azure ML or Azure Databricks. It's also a wonderful place to start if you want to go beyond traditional machine learning and learn about deep learning and neural networks, which we barely scratch the surface of here.

This program includes five courses that will help you prepare for the DP-100: Designing and Implementing a Data Science Solution on Azure exam. The certification test is an opportunity to demonstrate your knowledge and expertise in using Azure Machine Learning to operate machine learning applications at a large scale. This specialization teaches you how to use your Python and machine learning skills in Microsoft Azure to manage data intake and preparation, model training and deployment, and machine learning solution monitoring. Each course will teach you the topics and skills that the exam will assess.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Intermediate Level
  
• Approx. 13 hours to complete
  
• Subtitles: English
• Course 1 of 5 in the Microsoft Azure Data Scientist Associate - DP-100 Test Prep Specialization

Coursera Rating: 4.6/5.0
Enroll here: https://www.coursera.org/learn/create-machine-learning-models-in-microsoft-azure