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Microsoft Cloud Workshop: Cognitive Services and Deep Learning

Codice corso: 40530G
Durata corso: 1gg

Introduzione

In this workshop, you will learn to combine both pre-built artificial intelligence (AI) (in the form of various Cognitive Services) with custom AI (in the form of services built and deployed with Azure Machine Learning services). You will learn to create intelligent solutions atop unstructured text data by designing and implementing a text analytics pipeline. You will also learn how to build a binary classifier using a simple neural network that can be used to classify the textual data. Also, you will learn how to deploy multiple kinds of predictive services using Azure Machine Learning and learn to integrate with the Computer Vision API and the Text Analytics API from Cognitive Services.

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.

Obiettivi del corso

At the end of this workshop, you will be better able to present solutions leveraging Azure Machine Learning services and Cognitive Services.

Prerequisiti

There are no prerequisites for this course.

Struttura del Corso

MODULE 1: Whiteboard Design Session - Cognitive Services and deep learning

Lessons

Review the customer case study

Design a proof of concept solution

Present the solution

MODULE 2: Hands-on lab - Cognitive Services and deep learning

Lessons

Setup Azure Machine Learning accounts

Create and Deploy an Unsupervised Model

Applying TensorFlow

Completing the solution

P.IVA 06249920965
C.C.I.A.A. REA: MI - 1880014
Cap. Soc. € 12.000,00

Contatti

V.le P.A. Pirelli 6,20126 Milano
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Tel.: +39 02 694 382 64
Fax.: +39 02 694 382 35

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