Microsoft Azure Machine Learning for Data Scientists

via Coursera

Overview

Title: Microsoft Azure Machine Learning for Data Scientists

Description: Discover the pivotal role of machine learning in artificial intelligence and its impact on modern applications through this comprehensive course offered on Coursera. As part of a five-course series, this program focuses on using Microsoft Azure Machine Learning to build and publish machine learning models without requiring you to write any code.

Dive deep into the essentials of automating machine learning to streamline the iterative process of model training, which demands significant time and computational resources. This course is specifically designed to prepare you for the DP-100: Designing and Implementing a Data Science Solution on Azure certification exam, providing an excellent opportunity to demonstrate your skills and expertise in managing cloud-scale machine learning solutions with Azure.

Enhance your proficiency with Python and familiar machine learning frameworks such as Scikit-Learn, PyTorch, and TensorFlow. This specialization is crafted for data scientists like you, aiming to sharpen your skills in data ingestion, preparation, model training, deployment, and monitoring of machine learning solutions on Microsoft Azure.

Throughout the specialization, you will gain hands-on experience in managing Azure resources for machine learning, conducting experiments, training models, and deploying fully operational machine influencing solutions. You will also explore responsible machine learning practices, use Azure Databricks for data modeling, and integrate these processes with Azure Machine Learning.

Provider: Coursera

Categories: Machine Learning Courses, Microsoft Azure Courses, Data Science Courses