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Join this free online course to learn about the Machine Learning Cockpit for SAP Business ByDesign and how you can use it to create, train, and implement predictive scenarios end-to-end.
Language: English
Subtitles (auto-generated): Deutsch, English, Français, Español
Course information
Course Summary
The Machine Learning Cockpit for SAP Business ByDesign is the implementation of a standard machine learning workflow within the SAP Business ByDesign user interface. The Machine Learning Cockpit brings predictive capabilities to SAP Business ByDesign by utilizing the power of the Predictive Analysis Library (PAL) within the SAP HANA database. The tool allows users to create predictive scenarios by using data from business analytics data sources, on which PAL machine learning algorithms try to learn the model in the training process. This model can be applied to new data to make actual predictions. The predictions can then be consumed directly in SAP Business ByDesign business documents, in business analytics, or in PDI solutions (through the provided API).
In this course, you’ll learn how to use the Machine Learning Cockpit within SAP Business ByDesign to create, train, and implement predictive scenarios end-to-end. After a short introduction, you’ll learn about machine learning essentials, the use of data sources, as well as configuration and authorization. The following units cover the three focus areas, where you’ll learn everything you need to know about scenarios, models, and predictions.
Course Characteristics
- Starting from: June 20, 2023, 09:00 UTC. (What does this mean?)
- System Preparation: Opening 1 week earlier, on June 13, 2023
- Duration: The course is open for 5 weeks
- Effort: 5 hours in total
- Course assignment: You can take the course assignment at any time whilst the course is open.
- Course closure: July 26, 2023, 9:00 UTC
- Course language: English
- How is an openSAP course structured?
Course Content
Unit 1: Welcome and introduction
Unit 2: Machine learning essentials
Unit 3: Using data sources
Unit 4: Configuration and authorization
Unit 5: Scenario – Creating a scenario
Unit 6: Scenario – Data preprocessing settings
Unit 7: Scenario – Training settings
Unit 8: Model – Creating a model
Unit 9: Model – Field selection and null removal
Unit 10: Model – Outlier removal and training settings
Unit 11: Model – Training results and lifecycle management
Unit 12: Prediction creation
Unit 13: Prediction consumption
Unit 14: Prediction results in embedded components
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
- Understanding of SAP Business ByDesign business analytics
- Understanding of SAP Business ByDesign business processes
Development Systems
We will provide information on how to set up access to the SAP Business ByDesign tenants in the system preparation week.
Course contents
Preparation week
Course
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Rating
This course was rated with 4.46 stars in average from 227 votes.
Certificate Requirements
- Gain a Record of Achievement by earning at least 50% of the maximum number of points from all graded assignments.
- Gain a Confirmation of Participation by completing at least 50% of the course material.
Find out more in the certificate guidelines.
This course is offered by
Simona Marincei is the head of Intelligent Enterprise for SME and part of the Product Management for SME team. She leads multiple teams of highly qualified product managers to define and create the product strategy for SAP ERP for SME as well as the Intelligent Enterprise for SME.
Simona is an innovation leader and a powerful advocate of the SAP Intelligent Enterprise storyline, adapting and implementing SAP intelligent technologies to the realities of small and medium enterprises.
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
Sara Kazmi is part of the SME Product Management team for Intelligent Processes. She supports the team in adapting and implementing artificial intelligence technology in ERP for SAP Business ByDesign.
Follow Sara on LinkedIn
Kopal Jauhari is a product owner and senior developer for SAP Business ByDesign, focusing on the areas of machine learning, incident management, and the BTM framework. She has designed, developed, and delivered many new features for machine learning and other frameworks in SAP Business ByDesign.
Kopal works closely with Product Management to understand customer requirements and create valuable features for customers. She also holds trainings for new hires at SAP, supporting them as they begin their careers.
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