Information Technologies Trainings
IT Training Taxo Menu
This course will look at the process of migrating workloads to Azure. You will leave with
the information needed to develop a solid migration plan to keep mission-critical apps
and data protected as your customers transition and modernize their application, data,
and infrastructure environment.
In this workshop, you will build a proof of concept (POC) that will transform an existing PaaS application to a container-based application. This POC will deliver a multi-tenant web app hosting solution leveraging Azure Kubernetes Service (AKS), Docker containers on Linux nodes, and a migration from MongoDB to CosmosDB.
Complete a web app using Machine Learning to predict travel delays given flight
delay data and weather conditions. Plan the bulk data import operation, followed by
preparation, such as cleaning and manipulating the data for testing, and training your
Machine Learning model.
In this workshop, you will work as a group to implement an end-to-end solution for
e-commerce that is based on Azure App Services, Azure Active Directory, and Visual
Studio Team Services. You will ensure the solution is PCI compliant, and appropriate
security measures are put into place for both on-premises and public access scenarios.
In this whiteboard design session, you will learn how to design a solution with a combination of Azure Resource Manager templates and Azure DevOps to enable continuous delivery with several Azure PaaS services.
At the end of this workshop, you will be better able to build templates to automate cloud infrastructure and reduce error-prone manual processes. In addition, you’ll create an Azure Resource Manager (ARM) template to provision Azure resources, configure continuous delivery with Azure DevOps, configure Application Insights into an application, and create an Azure DevOps project and Git repository.
In this workshop you will learn real-time analytics without IoT. You’ll enable intelligent conversation in a machine learning enabled, real-time chat pipeline, and apply analytics to visualize customer sentiment in real time for hotel guests, allowing them to chat with one another, and to communicate directly with the concierge. You’ll apply analytics to visualize customer sentiment in real-time, as well as view trending sentiment over time and create a bot that can answer questions and embed it in the custom web app.
In this workshop, you will setup and configure a scale-out media processing architecture using Azure Batch. You'll discover how to use big compute (scale out compute, embarrassingly parallel processing) techniques without having to write a lot of code, and learn how these tasks can be accomplished declaratively.
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.
In this workshop, you will work as a group to setup and configure a serverless architecture within Azure using a combination of Azure Functions, Logic Apps, Event Grid, Cosmos DB, and Azure Storage. The focus is on removing server management from the equation, breaking down the solution into smaller components that are individually scalable, and allowing the customer to only pay for what they use.