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Agenda  What Is Artificial Intelligence ?  What Is Machine Learning ?  Limitations Of Machine Learning  Deep Learning To The Rescue  What Is Deep Learning ?  Deep Learning Applications Copyright © 2017, edureka and/or its affiliates. All rights reserved.

What is Cloud Computing? • It is the use of remote servers on the internet to store, manage and process data rather than a local server or your personal computer. • “Cloud Computing” is the delivery of on-demand computing resources over the internet on a pay-for-use basis” Copyright © 2017, edureka and/or its affiliates. All rights reserved.

Benefits of Cloud Computing Speed Cost Agility in provisioning of computing resources through Self-service & On- demand features enable flexibility & de- pressurize Capacity Planning Cloud Computing eliminates the capital expense of buying H/W, S/W, Setting up & running On-Site datacenters Global Scale Productivity The ability to Scale Elastically & Delivering right amount of IT resources right when its needed & from the right Geographic location Removes the need of “racking & stacking” (H/W setup, S/W patching) and lets IT teams spend time on achieving more important Business Goals Performance Reliability Benefits in Corporate Datacenter include reduced Network Latency for applications & greater Economics of Scale by regular upgradation of H/W Performs Data Backup, Disaster Recovery & Business Continuity easier & less expensive, as Data can be mirrored at multiple redundant sites on N/W Copyright © 2017, edureka and/or its affiliates. All rights reserved.

Subsets Of Artificial Intelligence Microsoft Azure is a growing collection of integrated cloud services which developers and IT professionals use to build, deploy and manage applications through our global network of datacentres Having said that, let’s look at a real life example which we can solve using Microsoft Azure. Copyright © 2017, edureka and/or its affiliates. All rights reserved.

Use Case Hosting a website on Azure, which will have an option of uploading images , and these images will come as a slideshow in the background. Copyright © 2017, edureka and/or its affiliates. All rights reserved.

Implementing in Azure These are the following components that are used in this implementation Servers App Service Azure Load Balancer & Auto Scaling Load Balancer MySQL Database Database Filesystem Blob Storage Copyright © 2017, edureka and/or its affiliates. All rights reserved.

Compute Domain Virtual App Service Functions Machine Azure Virtual Machine is just like a new machine with a freshly installed operating system. Copyright © 2017, edureka and/or its affiliates. All rights reserved.

Compute Domain Virtual App Service Functions Machine App Service is an automated version of Virtual Machine. You simply upload your code, and it deploys the application for you. Copyright © 2017, edureka and/or its affiliates. All rights reserved.

Compute Domain Virtual App Service Functions Machine Functions in Azure have server-less architectures and our meant to execute background tasks. Copyright © 2017, edureka and/or its affiliates. All rights reserved.

Storage Domain Blob Storage Queue Storage Backup Queue storage is used for queueing tasks which can read sequentially and can thus be used for synchronization. Copyright © 2017, edureka and/or its affiliates. All rights reserved.

Storage Domain Blob Storage Queue Storage Backup With the backup service, you can store all your infrequently accessed data at a minimum price. Copyright © 2017, edureka and/or its affiliates. All rights reserved.

MySQL for Azure MySQL for Azure Auto scale is used to automatically scale up and scale down according to needs, load balancer on the other hand is used to equally distribute the incoming data to the number of servers running currently. Copyright © 2017, edureka and/or its affiliates. All rights reserved.

Auto Scaling and Load Balancing Auto Scale and Load Balancer Auto scale is used to automatically scale up and scale down according to needs, load balancer on the other hand is used to equally distribute the incoming data to the number of servers running currently. Copyright © 2017, edureka and/or its affiliates. All rights reserved.

How to launch these Services in Azure? Scaling can be done in 2 ways: *Note: With scaling, load balancing is a mandate. However, load balancer can be used independently. ▪ ▪ Manual Scaling Auto Scaling Furthermore, there are two types of scaling: Horizontal Scaling Vertical Scaling Copyright © 2017, edureka and/or its affiliates. All rights reserved.

Azure Training | Microsoft Azure Tutorial | Microsoft Azure Certification | Edureka

Azure Training | Microsoft Azure Tutorial | Microsoft Azure Certification | Edureka

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