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Building Solutions with Microsoft Business Analytics and AI


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About the course

In this workshop you’ll cover a series of modules that guide you from understanding an analytics workload, using the Team Data Science Process, the Cortana Intelligence Suite Platform, the foundations of data transfer and storage, data source documentation, storage and analytics processing using various tools in a comprehensive solution. You’ll learn how to work through a real-world scenario using the Cortana Intelligence Suite tools, including the Microsoft Azure Portal, PowerShell, and Visual Studio, among others. You'll learn how to leverage the Cortana Intelligence Solution Portal to rapidly deploy a pre-configured solution, and you'll learn how to modify a solution for a real-world implementation.

 

Prerequisites

There are a few things you will need in order to properly follow the course materials:

A laptop capable of using the Remote Desktop Protocol (RDP) - all lab work will be done on the Microsoft Azure Windows Data Science Machine.

Modules

Module 1: Setup and Environment - Understanding the Azure Platform, DevOps for Data Science, and Toolkits

Module 2: Business Understanding - Defining objectives, data source vetting, creating design document, creating decision matrix, selecting solution elements, data flow

Module 3: Data Acquisition and Understanding - Ingest data, explore data, update data

Module 4: Modeling - Feature Selection, Create and train model

Module 5: Deployment - Operationalize

Module 6: Customer Acceptance - Testing and validation, Handoff, Re-train and re-score

Technologies covered

Understand the CIS Process (General level), Understand CIS Components (General Level), Set up and configure the development environment

Understand how to source and vet proper data, Understand feature selection, Understand Azure Storage Options, Use various methods to ingest data into Azure Storage, Examine data stored in Azure Storage, Use various tools to explore data

Understand ADF and its constructs, Implement an ADF Pipeline referencing Data Sources and with various Activities including on-demand HDInsight Clusters,

Understand how to use Azure ML and how experiments are created, Understand how MRS can be used to perform Machine Learning experiments, Use ADF to schedule Azure ML Activities

Understand how to evaluate the efficacy and performance of an Azure ML experiment, Understand how to evaluate the efficacy and performance of an MSR ML experiment, Access and show data from Azure Storage, Access, and Query Azure SQL DB

Understand how to publish an Azure ML API, Understand the access methods of Azure Storage and Intelligent Processing, Understand the options to send a HIVE query to an HDI system, Use Power BI to query the results of a solution and create reports in Power BI Desktop, Power BI Service, and Power BI in Microsoft Excel

Understand when to use each component within CIS

Understand how to leverage solutions in the Cortana Intelligence Gallery

Earlier Event: September 3
Azure Infrastructure Certification Bootcamp
Later Event: September 17
Azure Architect Certification Bootcamp