Master Class: Big Data, Data Science, and AI in SQL Server 2019/2022 (SQLAI)

 

Course Overview

And it works. If you want to learn and apply the new possibilities in the area of Big Data to AI in the new SQL Server 2019, this is the right course for you.

Who should attend

Database specialists, data engineers, software developers and technical decision-makers.

Prerequisites

Good SQL Server knowledge according to the courses SQL Standard Intensive Training or SQL Server for Application Development

Course Objectives

You will learn about the possibilities of Big Data, Data Science and AI in SQL Server 2019 and will be able to apply them in your own projects.

Course Content

  • Modern development environment
  • SQL Server in Container
  • SQL Server on Kubernetes
  • SQL Server Data Virtualization
  • SQL Server Big Data Clusters
  • Machine Learning in Big Data Clusters
  • Using Cognitive Services (AI) mit SQL Server
  • The Big Picture
  • SQL Server Hybrid Solutions

Prices & Delivery methods

Online training

Duration
3 days

Price
  • 2.390,– €
Classroom training

Duration
3 days

Price
  • Sverige: 2.390,– €

Schedule

English

Time zone: Central European Summer Time (CEST)   ±1 hour

Online training This is a FLEX course. Time zone: Central European Summer Time (CEST)
Online training This is a FLEX course. Time zone: Central European Summer Time (CEST)
Online training This is a FLEX course. Time zone: Central European Time (CET)
Online training This is a FLEX course. Time zone: Central European Time (CET)

7 hours difference

Online training Time zone: Eastern Standard Time (EST) Course language: English
Online training Time zone: Eastern Standard Time (EST) Course language: English
Instructor-led Online Training:   This is an Instructor-Led Online course
This is a FLEX course, which is delivered both virtually and in the classroom.

Europe

Switzerland

Zürich Course language: English
Zürich Course language: English
Zürich Course language: English
Zürich Course language: English
This is a FLEX course, which is delivered both virtually and in the classroom.