Beim Laden des Videoplayers ist ein Fehler aufgetreten, oder es dauert lange, bis er initialisiert wird. Sie können versuchen, Ihren Browser-Cache zu leeren. Bitte versuchen Sie es später noch einmal und wenden Sie sich an den Helpdesk, wenn das Problem weiterhin besteht.

Join this free online course to learn how to implement eight predictive business cases end-to-end using the Machine Learning Cockpit for SAP Business ByDesign.

Seit 27. September 2023 im Selbststudium
Kurssprache: English
Untertitel (automatisch erzeugt): Deutsch, English, Français, Español


Course Summary

Our previous course How to Use the Machine Learning Cockpit for SAP Business ByDesign introduced you to features, concepts, and processes behind the Machine Learning Cockpit using the Sales Quote Item success prediction as an example. Now it’s time to expand your knowledge to a larger variety of other business scenarios.

In this course we’ll present the implementation of eight additional best practice business scenarios which can be addressed with the help of the Machine Learning Cockpit for SAP Business ByDesign:

The purpose of the course is:

  • to provide you with a quick start for implementing and deploying the use cases documented in SAP Help
  • to further strengthen your confidence working with the Machine Learning Cockpit
  • to inspire you to start designing your own use cases

You’ll get practical hands-on experience in using business analytics to prepare your data sets through joined cloud data sources, creating scenarios, models, and prediction runs, and consuming those predictions both in the SAP Business ByDesign user interface or as reports in business analytics.

Here is what some participants are saying about the course:

  • "Good course flow and appropriate details. Graded assessment helps in overall evaluation. Thanks for this opportunity." Read the original post

  • "I really liked the step by step approach for every MLC use case, I definitely will practice following those." Read the original post

Course Characteristics

  • Starting from: August 15, 2023, 09:00 UTC. (What does this mean?)
  • Duration: The course is open for 6 weeks
  • Effort: 4-5 hours in total
  • Course assignment: You can take the course assignment at any time whilst the course is open.
  • Course closure: September 27, 2023, 9:00 UTC
  • Course language: English
  • How is an openSAP course structured?

Course Content

Unit 1: Welcome and introduction
Unit 2: Opportunity – Success prediction (SAP-delivered scenario)
Unit 3: Customer – ABC classification proposal
Unit 4: Outbound delivery – Cancellation prediction
Unit 5: Production order – Cancellation prediction
Unit 6: Purchase order – Supplier proposal
Unit 7: Purchase order – Prediction of incomplete delivery
Unit 8: Purchase order – Prediction of delivery delay
Unit 9: Customer invoice – Prediction of payment delay

Target Audience

  • Business users
  • Key users
  • SAP partners
  • Data analysis experts and machine learning enthusiasts who are interested in the implementation of intelligent predictive solutions

Course Requirements

Development Systems

We will provide information on how to set up access to the SAP Business ByDesign tenants in the system preparation week.


  • Preparation week (optional)

  • Course

  • I Like, I Wish:

    We Love Your Feedback … And Want More

Für diesen Kurs einschreiben

Der Kurs ist kostenlos. Legen Sie sich einfach ein Benutzerkonto auf openSAP an und nehmen Sie am Kurs teil!
Jetzt einschreiben


27. September 2023
15. August 2023


Der Kurs wurde mit durchschnittlich 4.46 Sternen bei 238 abgegebenen Stimmen bewertet.

Anforderungen für Leistungsnachweise

  • Den Leistungsnachweis erhält, wer in der Summe aller benoteten Aufgaben mindestens 50% der Höchstpunktzahl erreicht hat.
  • Die Teilnahmebestätigung erhält, wer auf mindestens 50% der Kursunterlagen zugegriffen hat.

Mehr Informationen finden Sie in den Richtlinien für Leistungsnachweise.

Dieser Kurs wird angeboten von

Dalibor Knis

Dalibor Knis is product management lead for the Machine Learning Cockpit. He has been working in the SME ERP area for more than 20 years.

A former physicist and programmer and now a machine learning enthusiast, Dalibor tries to bridge the gap between the technical world of data science and the business-oriented world of ERP systems.

Follow Dalibor on SAP Community | LinkedIn

Murthy v

Murthy V is a product manager in SAP Business ByDesign, focusing on Customer Relationship Management and integration and extensibility topics. He has over 15 years of industry experience in SAP across different areas of SAP ERP cloud solutions for the mid market.

Murthy has written and published SAP public blogs on a number of topics. He is currently also acting as product manager for platform topics in the SME area, including tasks like SME partner BTP enablement.

Sanjay Porwal

Sanjay Porwal is a member of the SME Product Management and SAP Intelligent Enterprise for SME teams, focusing on applying artificial intelligence in ERP for SME from a technical and business point of view. Sanjay has written SAP public blogs on machine learning cockpit use cases which can be found on SAP Community.

Follow Sanjay on SAP Community | LinkedIn

Hitesh Bindal

Hitesh Bindal is a product manager with SAP ERP for SME. He has over 12 years of experience in SAP across different areas of SAP ERP cloud solutions for the mid-market. Hitesh is responsible for the implementations of intelligent enterprise topics in SAP Business ByDesign. He also provides help and assistance to the teams during the design and implementation of SAP BPA BOTs and the machine learning cockpit.

Follow Hitesh Bindal on LinkedIn.

Sandeep Dinesh Janardan

Sandeep Janardan is a product manager with SAP ERP for SME, working on the SME development platform for the SAP partner community, where his focus is on solution extensibility tools. Prior to this, he spent over 5 years as a product manager for SAP Business ByDesign, leading topics around HR and workforce management, including workforce planning for Field Service and Repair.

Before joining the product management team, Sandeep worked as a developer for over 10 years.

Follow Sandeep on LinkedIn