Enter Next-Level Bot Building with SAP Intelligent RPA 2.0 (openSAP)

Offered by SAP,
Enter Next-Level Bot Building with SAP Intelligent RPA 2.0 (openSAP)

Join this free online course to learn about SAP Intelligent Robotic Process Automation (SAP Intelligent RPA) 2.0 and how the updated version of the solution simplifies the bot-building experience. SAP Intelligent Robotic Process Automation  (SAP Intelligent RPA) is a complete automation suite, where software robots are designed to mimic humans by replacing manual clicks and automate end-to-end scenarios for definable and repeatable business processes. The solution consists of several components that enable you to develop your own bots by capturing your process, creating your workflow, and configuring, executing, monitoring, and debugging your automations.

This course provides an overview of the updated version of the solution: SAP Intelligent RPA 2.0. In previous courses, you learned how to create your own bots in the Desktop Studio, how to configure and monitor them with the Cloud Factory, and how to make them run as digital workers or digital assistants. In this course, you’re faced with a simplified, intuitive, and low-coded Cloud Studio and an updated runtime to create and execute your bots.

You’ll learn what’s new with the updated version and you’ll see how simple the bot-building experience has become, especially for citizen developers and business users.
If you haven’t yet taken the original courses, you can still access all the content to prepare for this course e.g. SAP Intelligent RPA in a Nutshell and Business Process Automation with SAP S/4HANA

Course Content

Week 1: Get Started with SAP Intelligent RPA 2.0
Week 2: First Automations
Week 3: Build Your End-to-End Project
Week 4: Leverage a Rich Desktop Ecosystem
Week 5: Leverage Business Applications
Week 6: Final Exam

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Artificial Intelligence for Breast Cancer Detection (Coursera) Coursera
Johns Hopkins University

Artificial Intelligence for Breast Cancer Detection (Coursera)

Through interactive lectures and module exercises, this course illustrates the potential of artificial intelligence in breast imaging. Topics include an introduction of breast cancer and breast imaging, introduction to artificial intelligence in image analysis and computer image processing of cancer detection. The course intends to provide students basic understanding of artificial intelligence approaches to breast cancer detection.

Oct 5th 2026
4 Weeks
Ethical Issues in Data Science (Coursera) Coursera
University of Colorado Boulder

Ethical Issues in Data Science (Coursera)

Computing applications involving large amounts of data – the domain of data science – impact the lives of most people in the U.S. and the world. These impacts include recommendations made to us by internet-based systems, information that is available about us online, techniques that are used for security and surveillance, data that is used in health care, and many more. In many cases, they are affected by techniques in artificial intelligence and machine learning.

Sep 28th 2026
5-12 Weeks
Leveraging AI for Enhanced Content Creation (Coursera) Coursera
Coursera Instructor Network

Leveraging AI for Enhanced Content Creation (Coursera)

This course provides a foundation to assess, and apply, a series of Generative Artificial Intelligence (AI) tools, such as ChatGPT, Bing Chat, Google Bard, Midjourney, Runway, and Eleven Labs. This learning opportunity offers a hands-on experience through ideating, creating, and finalizing a mock advertising campaign using the combined strengths of these AI tools.

Oct 5th 2026
1 Week
New Technologies for Business Leaders (Coursera) Coursera
Rutgers University

New Technologies for Business Leaders (Coursera)

This introductory course is developed for high-level business people (and those on their way) who want a broad understanding of new Information Technologies and understand their potential for business functions (e.g. marketing, supply change management, finance). This is not a course for people looking for guidance on how to become a deep technical expert or implement these technologies.

Sep 28th 2026
5-12 Weeks
Legal Tech and the Digital Transformation of Law (Coursera) Coursera
Universidad Austral

Legal Tech and the Digital Transformation of Law (Coursera)

The digital revolution changed the way we communicate and trade. Now, it is coming into the world of law. This program will give you a broad overview of the main trends that are affecting the legal industry: the birth of the legal tech market and the application of technology in law; the role of artificial intelligence in the automation of the work of lawyers; blockchain technology and its impact on the way we sign and execute contracts; initiatives to ensure access to justice through virtual courts and robot judges.

Oct 5th 2026
5-12 Weeks
Business Implications of AI: A Nano-course (Coursera) Coursera
EIT Digital

Business Implications of AI: A Nano-course (Coursera)

In this course you will learn what Artificial Intelligence is, from a leaders point of view. How shall we, as leaders, understand it from a corporate strategy point of view? What is it and how can it be used? What are the crucial strategic decisions we have to make, and how to make them? What consequences can we expect if we decide on doing AI-projects and what kind of competences do we need? Where shall we start, and what could be a good second as well as third step? What implications for the organization can we expect? These are the questions answered in this course.

Oct 5th 2026
4 Weeks
Responsible AI - Principles and Ethical Considerations (Coursera) Coursera
Fractal Analytics

Responsible AI - Principles and Ethical Considerations (Coursera)

Welcome to "Responsible AI – Principles and Ethical Considerations"! Dive deep into the very essence of Responsible AI with us. Uncover the significance of key principles shaping technology's future. From ethical considerations to fairness, transparency, and accountability, we discuss these principles with real-world examples, putting them into the context of data science.

Oct 5th 2026
5-12 Weeks