Microsoft Cloud Workshop: Machine Learning

MOC-40561

All'interno della categoria: Cloud

In this course, you will work with a group to design and implement a solution that combines Azure Databricks with Azure Machine Learning service to build, train and deploy the machine learning and deep learning models. You will learn how to use automated machine learning, model lifecycle management from training to deployment, in batch and real-time inferencing scenarios, and construct deep learning models for Natural Language Processing (NLP) in text classification and forecasting against time-series data. Finally, you’ll learn to compare data with PyTorch and Keras for deep learning.

This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the ‘About this Course’ and ‘At Course Completion’ areas. Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.

After completing this course, students will understand:

  • The capabilities and implementation solutions of Azure Machine Learning and Azure Databricks.

Course Outline
Module 1: Whiteboard Design Session - Machine Learning
Lessons

  • Review the customer case study

  • Design a proof of concept solution

  • Present the solution
    Module 2: Hands-on lab - Machine Learning
    Lessons

  • Creating a forecast model using automated machine learning

  • Understanding the automated ML generated forecast model using model explainability

  • Creating a deep learning model (RNN) for time series data and registering the model

  • Using a forecast model for scoring of streaming telemetry

  • Creating a deep learning text classification model

Prezzo di listino

320,00 EUR + IVA

Durata

  • 7 ore

Prerequisiti

nessuno specificato

Date a calendario

Altre date

Anche on-site

Tutti i nostri corsi sono erogabili anche in modalità on-site, personalizzati secondo le esigenze.

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