Cloud Data and AI Services training roundup September 2018
To help you stay up to date on online training opportunities, we’re releasing a monthly list of the latest free Data and Artificial Intelligence (AI) sessions in one convenient post.
SQL Server
With SQL Server virtual machines, you can use full versions of SQL Server in the cloud without having to manage any on-premises hardware. SQL Server virtual machines also simplify licensing costs when you pay as you go. They run many different geographic regions worldwide and offer a variety of machine sizes.
As data continues its exponential growth, it’s increasingly important to trim costs and manage risks while ensuring that your users have uninterrupted access. Register for this upcoming session to learn how to get started with SQL Server on Azure virtual machines, migrate your on-premises database to the cloud and use built-in features such as automated backup and patching.
Intelligence (AI)
Infuse your apps, websites, and bots with intelligent algorithms to see, hear, speak, understand, and interpret your user needs through natural methods of communication. The Microsoft AI platform offers a comprehensive set of flexible AI services for any scenario and enterprise-grade AI infrastructure that runs AI workloads anywhere at scale.
Artificial intelligence is accelerating digital transformation across every industry. Join this session with AI experts to learn how to use AI to augment human ingenuity and create the next generation of intelligent applications. We will dive into the tools, infrastructure, and services available as part of the Microsoft Azure AI platform and show you how to teach your bot to use prebuilt AI capabilities in computer vision, speech, and translation.
Big Data and Analytics
Deliver better experiences and make better decisions by analyzing massive amounts of data in real time. Get the insight you need to deliver intelligent actions that improve customer engagement, increase revenue, and lower costs.
R is an increasingly popular programming language for running predictive analytics workloads. For analytics practitioners looking to scale out R-based advanced analytics to big data, Azure Databricks starts in seconds, integrates with RStudio, and automatically executes R workloads at unprecedented scale across single or multiple nodes. View this session to see how to get the ideal dataset for your needs.
The insights gathered from AI provide a competitive advantage in the digital marketplace. Watch this session from GigaOm Research and Microsoft to explore AI’s impending impact on the world, learn what organizations need to do to prepare for building AI solutions, and experience how you can build a data platform to bring together all kinds of data.
