Course announcements

  • In this course the participants get an introduction into SAP Leonardo Machine Learning Foundation and its use-cases. Afterwards you do prepared exercises for developers and data scientists. Developers can use ready-to-use functional services around image, speech, and text, and (re-)trainable services which are customizable with the participants own customer data. Data scientists can use the bring-your-own-model scenario, where a TensorFlow model is deployed into SAP Leonardo Machine Learning Foundation and inferenced by an SAPUI5 app.

Goals

  • This course will prepare you to:
  • Explain the capabilities of SAP Leonardo Machine Learning Foundation and how you can implement those.

Audience

  • Data Consultant / Manager
  • Developer
  • Developer Consultant
  • Enterprise Architect
  • Executive
  • Solution Architect
  • System Architect
  • Technology Consultant
  • Trainer

Prerequisites

Essential

Recommended

  • Basic knowledge about SAP solutions, machine learning, and programming

Course based on software release

  • SAP Leonardo Machine Learning Foundation

Content

  • Basics of SAP Leonardo Machine Learning architecture
  • Applications based on SAP Leonardo Machine Learning
  • SAP Leonardo Machine Learning Foundation architecture
  • Use-case 1: Ready-to-use functional services. Test and use deep learning models in your own applications
  • Use-case 2: (Re-)trainable services. Customizing of deep learning models by (re-)training with customer-specific data, for customizable image classification and customizable text classification.
  • Use-case 3: Bring-your-own model. Deployment and testing of a TensorFlow deep learning model on SAP Leonardo Machine Learning Foundation
  • Outlook on future extensions of ML Foundation