Goals

  • Introduction into SAP Leonardo Machine Learning Foundation and its use-cases
  • Presentation of intelligent applications based on SAP Leonardo ML Foundation, like SAP Cash Application and SAP Service Ticket Intelligence
  • Deep-dive: developer scenario: ready-to-use functional services and (re-)trainable services
  • Deep-dive: data scientist scenario: bring-your-own TensorFlow model
  • Practical exercises on your own laptop (see notes)

Audience

  • Manager
  • Enterprise architect
  • Developer / Development consultant
  • Data scientist
  • Technology consultant

Prerequisites

Essential

  • * Required Knowledge:
  • No

Recommended

  • Basic knowledge in any programming language
  • Basic knowledge in machine learning, like you get in the openSAP course Enterprise Machine Learning in a Nutshell

Course based on software release

  • SAP Leonardo Machine Learning Foundation 1808

Content

  • Basics of SAP Leonardo Machine Learning architecture
  • Applications of SAP Leonardo ML like Cash Application und Service Ticket Intelligence
  • SAP Leonardo ML Foundation architecture
  • ML Foundation use-case 1: ready-to-use functional services. Test and use deep learning models in your own applications
  • ML Foundation use-case 2: (re-)trainable services. Customizing of deep learning models by (re-)training with customer-specific data (customizable image classification and customizable text classification)
  • ML Foundation use-case 3: bring your own TensorFlow model. Deployment and testing of a TensorFlow deep learning model on ML Foundation
  • Outlook on future extensions of ML Foundation

Notes

  • Please bring your own laptop (Windows or MacOS) to the workshop where you have installation rights. You will install a small tool during the workshop to access machine learning services on SAP cloud platform.

Register your interest for taking this course

Let us know when and where you'd like to attend and we'll notify you when sessions become available.

Note: Location can be for a public classroom or a virtual that meets your prefered timezone.

Register Interest