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Microsoft

Course 40530-G: Microsoft Cloud Workshop: Cognitive Services and Deep Learning

  • Duration: 1 days
  • Job Role: Developer

Course 40530-G: Microsoft Cloud Workshop: Cognitive Services and Deep Learning

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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.

Audience Profile

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 “Summary” and “Skills gained” 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.

Prerequisites

  • Architectural expertise of infrastructure and solutions design in cloud technologies.
  • Experienced in other non-Microsoft cloud technologies.

Course outline

Module 1: Whiteboard Design Session - Cognitive Services and deep learning
Module Overview

In this module, you work with a group to design a solution that combines 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 discover how to build a binary classifier using a recurrent neural network that can be used to classify the textual data. You will also 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. At the end of this whiteboard design session, you will be better able to design solutions leveraging Azure Machine Learning services and Cognitive Services.

Lessons

Review the customer case study
Design a proof of concept solution
Present the solution

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Design solutions leveraging Azure Machine Learning services and Cognitive Services.

Module 2: Hands-on lab - Cognitive Services and deep learning
Module Overview

In this hands-on lab module, you implement a solution that combines 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 service. In the lab, you work with unstructured text and image data and learning how to develop analytics pipelines for various problems such as text summarization, text classification, image detection, optical character recognition (OCR), and sentiment analysis. You learn how to build and train a deep neural net for text classification. You also 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. At the end you will be better able to present solutions leveraging Azure Machine Learning service, Azure Machine Learning compute instance, and Cognitive Services.

Lessons

Setup Azure Machine Learning accounts
Create and Deploy an Unsupervised Model
Applying TensorFlow
Completing the solution

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Present solutions leveraging Azure Machine Learning service, Azure Machine Learning compute instance, and Cognitive Services.

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