Designing and implementing a data science solution on Azure

DP-100 Designing and Implementing a Data Science Solution on Azure

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This course prepares professionals to use Azure to develop, implement, and oversee end-to-end data science solutions. Discover how to use Azure Machine Learning for scalable deployment, model building, and data preparation. Learn how to automate processes, analyze performance, integrate Azure AI services, and maintain security. Perfect for people that want to provide significant AI-powered solutions.

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Overview

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course 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 with Azure Machine Learning and MLflow.

Key Features

  • Azure AI Integration
  • Data Preparation
  • Model Development
  • Scalability

Curriculum

Study Plan

1Module 1: Design a machine learning solution
2 Module 2: Explore and configure the Azure Machine Learning workspace
3Module 3: Experiment with Azure Machine Learning
4Module 4: Optimize model training with Azure Machine Learning
5Module 5: Manage and review models in Azure Machine Learning
6Module 6: Deploy and consume models with Azure Machine Learning

About Instructor

  • 200+ Classed/Month
  • 3000+ Learner Trained
  • 42+ Corporate Recruiting Partners & 20+ College Partners
  • 1000+ Review
  • 200+ Classed/Month
  • 3000+ Learner Trained
  • 42+ Corporate Recruiting Partners & 20+ College Partners
  • 1000+ Review
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