Getting Started with Azure Security for the IT Professional

Register for this event in the time zone that suits you best:
June 2-3, 9am–1pm PDT (The Americas)
June 3-4, 9am–1pm CEST (Europe)

Do IT security concerns keep you up at night? You’re not alone! Many IT Pros want to extend their organization’s infrastructure but need reassurance about security. Whether you are researching a hybrid or a public cloud model with Microsoft Azure, the question remains the same: Does the solution meet your own personal and your organization’s bar for security, including industry standards, attestations, and ISO certifications?

In this two-part, demo-filled course, explore these and other hot topics, as a team of security experts and Azure engineers takes you beyond the basic certifications and explores what’s possible inside Azure. See how to design and use various technologies to ensure that you have the security and architecture you need to successfully launch your projects in the cloud. Dive into datacenter operations, virtual machine (VM) configuration, network architecture, and storage infrastructure. Get the information and the confidence you need, from the pros who know, as they demystify security in the cloud.

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Free Training from Microsoft on Azure

Get hybrid-ready at a free IT Camp in your local area! Join us for this interactive, full-day training session and learn how to move your workloads from on-premises to the cloud and back again. You’ll see how Microsoft Azure supports powerful virtualization, on-demand application scaling, complete data control, and the fastest customer response times around.
Get the scoop from seasoned experts who can show you how to expand your IT options without adding complexity – or giving yourself a headache in the process. Here are just a few of the topics we’ll cover:

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Extending your network with Microsoft Azure Virtual Machines

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Tackling workload migration, networking and other key scenarios

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Microsoft Azure for Test and Development (IaaS)

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Application migration to Microsoft Azure (IaaS & PaaS)

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SQL BI, Media, Backup, DR and much more

Don’t miss this valuable, free event in your local area – regardless of whether you’re new to the cloud, or you currently use an on-premises, hybrid or fully cloud-based solution.

All IT Pros are welcome!
Sessions run from 9:00am – 4:00pm. We’ll also give away a $100 Microsoft Store gift card* to one lucky attendee at each event.
Attendance is limited, so save your seat today.

Register: http://aka.ms/hybridclouditcamp

 

 

Free E-book Microsoft Azure Essentials: Azure Machine Learning

 

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Azure Machine Learning  is a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services.

Microsoft Azure Machine Learning (ML) is a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. Azure ML Studio provides rich functionality to support many end-to-end workflow scenarios for constructing predictive models, from easy access to common data sources, rich data exploration and visualization tools, application of popular ML algorithms, and powerful model evaluation, experimentation, and web publication tooling.

This ebook will present an overview of modern data science theory and principles, the associated workflow, and then cover some of the more common machine learning algorithms in use today. We will build a variety of predictive analytics models using real world data, evaluate several different machine learning algorithms and modeling strategies, and then deploy the finished models as machine learning web service on Azure within a matter of minutes. The book will also expand on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services.

The scenarios and end-to-end examples in this book are intended to provide sufficient information for you to quickly begin leveraging the capabilities of Azure ML Studio and then easily extend the sample scenarios to create your own powerful predictive analytic experiments. The book wraps up by providing details on how to apply “continuous learning” techniques to programmatically “retrain” Azure ML predictive models without any human intervention.

 

You can get the e-book here