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Portrait of Prof. Dr. Jan Brandt, AI Super Professor
AI Super ProfessorBachelor

Prof. Dr. Jan Brandt

Intelligent Automation and Robotic Process Automation (RPA)

Welcome to the future of work. I am Prof. Dr. Jan Brandt. As a specialist in automating business processes with software robots and AI, I am dedicated to empowering the next generation of business leaders in the Intelligent Automation and Robotic Process Automation (RPA) (Bachelor's) program at Nexier University.

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AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

  • RPA Developer for a consulting firm or large enterprise
  • Process Automation Analyst for a business process outsourcing company
  • Intelligent Automation Specialist for a technology vendor
  • Business Process Consultant for a variety of industries

Read the programme journey

AI Super Professor

A desk with Prof. Dr. Jan Brandt

Classroom

This desk

Welcome to the future of work. I am Prof. Dr. Jan Brandt. As a specialist in automating business processes with software robots and AI, I am dedicated to empowering the next generation of business leaders in the Intelligent Automation and Robotic Process Automation (RPA) (Bachelor's) program at Nexier University.

Prof. Dr. Jan Brandt

Welcome to the future of work. I am Prof. Dr. Jan Brandt. As a specialist in automating business processes with software robots and AI, I am dedicated to empowering the next generation of business leaders in the Intelligent Automation and Robotic Process Automation (RPA) (Bachelor's) program at Nexier University.

Progress stays in this browser until you clear it. It is not a learner record. Identity enrolment is a separate action on the programme page.

Listed courses

Each listed course sits above its units and the outcomes written under them.

Intelligent Automation and Robotic Process Automation (RPA)

  1. 01Introduction to RPA & Automation
    1. FoundationsFoundations of Introduction to RPA & Automation

      The learner can master the practical application of RPA development and process analysis, as applied to Introduction to RPA & Automation.

      • Multiple choiceWhich listed outcome belongs to Foundations of Introduction to RPA & Automation?
      • Meets the listed outcomeThe learner can master the practical application of RPA development and process analysis, as applied to Introduction to RPA & Automation.

      The learner can gain expertise in UiPath, Automation Anywhere, and process mining, as applied to Introduction to RPA & Automation.

      • True or falseThis unit lists the following outcome: The learner can gain expertise in UiPath, Automation Anywhere, and process mining, as applied to Introduction to RPA & Automation.
      • Meets the listed outcomeThe learner can gain expertise in UiPath, Automation Anywhere, and process mining, as applied to Introduction to RPA & Automation.
    2. MethodsMethods in Introduction to RPA & Automation

      The learner can develop a deep understanding of the ethical and social implications of automation, as applied to Introduction to RPA & Automation.

      • True or falseThis unit lists the following outcome: The learner can develop a deep understanding of the ethical and social implications of automation, as applied to Introduction to RPA & Automation.
      • Meets the listed outcomeThe learner can develop a deep understanding of the ethical and social implications of automation, as applied to Introduction to RPA & Automation.

      The learner can cultivating a commitment to building a more efficient and automated business world, as applied to Introduction to RPA & Automation.

      • Short answerIn one sentence, restate the listed outcome of Methods in Introduction to RPA & Automation as applied to Introduction to RPA & Automation.
      • Meets the listed outcomeThe learner can cultivating a commitment to building a more efficient and automated business world, as applied to Introduction to RPA & Automation.
    3. ApplicationApplication of Introduction to RPA & Automation

      The learner can master the principles of intelligent automation and RPA. Gaining expertise in process analysis and RPA development, as applied to Introduction to RPA & Automation.

      • Short answerIn one sentence, restate the listed outcome of Application of Introduction to RPA & Automation as applied to Introduction to RPA & Automation.
      • Meets the listed outcomeThe learner can master the principles of intelligent automation and RPA. Gaining expertise in process analysis and RPA development, as applied to Introduction to RPA & Automation.

      The learner can develop strategic thinking for integrating intelligent automation into enterprise workflows, as applied to Introduction to RPA & Automation.

      • Multiple choiceWhich listed outcome belongs to Application of Introduction to RPA & Automation?
      • Meets the listed outcomeThe learner can develop strategic thinking for integrating intelligent automation into enterprise workflows, as applied to Introduction to RPA & Automation.
  2. 02Process Analysis & Design
    1. FoundationsFoundations of Process Analysis & Design

      The learner can cultivating an interdisciplinary approach, integrating business process management, AI, and robotics, as applied to Process Analysis & Design.

      • Multiple choiceWhich listed outcome belongs to Foundations of Process Analysis & Design?
      • Meets the listed outcomeThe learner can cultivating an interdisciplinary approach, integrating business process management, AI, and robotics, as applied to Process Analysis & Design.

      The learner can distinguish related ideas inside Process Analysis & Design.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Process Analysis & Design.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Process Analysis & Design.
    2. MethodsMethods in Process Analysis & Design

      The learner can apply a method from Process Analysis & Design to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Process Analysis & Design to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Process Analysis & Design to a documented case.

      The learner can select an appropriate method from Process Analysis & Design for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Process Analysis & Design as applied to Process Analysis & Design.
      • Meets the listed outcomeThe learner can select an appropriate method from Process Analysis & Design for a stated problem.
    3. ApplicationApplication of Process Analysis & Design

      The learner can evaluate a practice of Process Analysis & Design against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Process Analysis & Design as applied to Process Analysis & Design.
      • Meets the listed outcomeThe learner can evaluate a practice of Process Analysis & Design against a stated criterion.

      The learner can transfer Process Analysis & Design to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Process Analysis & Design?
      • Meets the listed outcomeThe learner can transfer Process Analysis & Design to a new documented context.
  3. 03RPA Development & Implementation
    1. FoundationsFoundations of RPA Development & Implementation

      The learner can explain the core terms of RPA Development & Implementation.

      • Multiple choiceWhich listed outcome belongs to Foundations of RPA Development & Implementation?
      • Meets the listed outcomeThe learner can explain the core terms of RPA Development & Implementation.

      The learner can distinguish related ideas inside RPA Development & Implementation.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside RPA Development & Implementation.
      • Meets the listed outcomeThe learner can distinguish related ideas inside RPA Development & Implementation.
    2. MethodsMethods in RPA Development & Implementation

      The learner can apply a method from RPA Development & Implementation to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from RPA Development & Implementation to a documented case.
      • Meets the listed outcomeThe learner can apply a method from RPA Development & Implementation to a documented case.

      The learner can select an appropriate method from RPA Development & Implementation for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in RPA Development & Implementation as applied to RPA Development & Implementation.
      • Meets the listed outcomeThe learner can select an appropriate method from RPA Development & Implementation for a stated problem.
    3. ApplicationApplication of RPA Development & Implementation

      The learner can evaluate a practice of RPA Development & Implementation against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of RPA Development & Implementation as applied to RPA Development & Implementation.
      • Meets the listed outcomeThe learner can evaluate a practice of RPA Development & Implementation against a stated criterion.

      The learner can transfer RPA Development & Implementation to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of RPA Development & Implementation?
      • Meets the listed outcomeThe learner can transfer RPA Development & Implementation to a new documented context.
  4. 04Intelligent Automation Architectures
    1. FoundationsFoundations of Intelligent Automation Architectures

      The learner can explain the core terms of Intelligent Automation Architectures.

      • Multiple choiceWhich listed outcome belongs to Foundations of Intelligent Automation Architectures?
      • Meets the listed outcomeThe learner can explain the core terms of Intelligent Automation Architectures.

      The learner can distinguish related ideas inside Intelligent Automation Architectures.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Intelligent Automation Architectures.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Intelligent Automation Architectures.
    2. MethodsMethods in Intelligent Automation Architectures

      The learner can apply a method from Intelligent Automation Architectures to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Intelligent Automation Architectures to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Intelligent Automation Architectures to a documented case.

      The learner can select an appropriate method from Intelligent Automation Architectures for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Intelligent Automation Architectures as applied to Intelligent Automation Architectures.
      • Meets the listed outcomeThe learner can select an appropriate method from Intelligent Automation Architectures for a stated problem.
    3. ApplicationApplication of Intelligent Automation Architectures

      The learner can evaluate a practice of Intelligent Automation Architectures against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Intelligent Automation Architectures as applied to Intelligent Automation Architectures.
      • Meets the listed outcomeThe learner can evaluate a practice of Intelligent Automation Architectures against a stated criterion.

      The learner can transfer Intelligent Automation Architectures to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Intelligent Automation Architectures?
      • Meets the listed outcomeThe learner can transfer Intelligent Automation Architectures to a new documented context.
  5. 05Ethical AI in Automation
    1. FoundationsFoundations of Ethical AI in Automation

      The learner can explain the core terms of Ethical AI in Automation.

      • Multiple choiceWhich listed outcome belongs to Foundations of Ethical AI in Automation?
      • Meets the listed outcomeThe learner can explain the core terms of Ethical AI in Automation.

      The learner can distinguish related ideas inside Ethical AI in Automation.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Ethical AI in Automation.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Ethical AI in Automation.
    2. MethodsMethods in Ethical AI in Automation

      The learner can apply a method from Ethical AI in Automation to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Ethical AI in Automation to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Ethical AI in Automation to a documented case.

      The learner can select an appropriate method from Ethical AI in Automation for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Ethical AI in Automation as applied to Ethical AI in Automation.
      • Meets the listed outcomeThe learner can select an appropriate method from Ethical AI in Automation for a stated problem.
    3. ApplicationApplication of Ethical AI in Automation

      The learner can evaluate a practice of Ethical AI in Automation against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Ethical AI in Automation as applied to Ethical AI in Automation.
      • Meets the listed outcomeThe learner can evaluate a practice of Ethical AI in Automation against a stated criterion.

      The learner can transfer Ethical AI in Automation to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Ethical AI in Automation?
      • Meets the listed outcomeThe learner can transfer Ethical AI in Automation to a new documented context.
  6. 06RPA Development with UiPath
    1. FoundationsFoundations of RPA Development with UiPath

      The learner can explain the core terms of RPA Development with UiPath.

      • Multiple choiceWhich listed outcome belongs to Foundations of RPA Development with UiPath?
      • Meets the listed outcomeThe learner can explain the core terms of RPA Development with UiPath.

      The learner can distinguish related ideas inside RPA Development with UiPath.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside RPA Development with UiPath.
      • Meets the listed outcomeThe learner can distinguish related ideas inside RPA Development with UiPath.
    2. MethodsMethods in RPA Development with UiPath

      The learner can apply a method from RPA Development with UiPath to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from RPA Development with UiPath to a documented case.
      • Meets the listed outcomeThe learner can apply a method from RPA Development with UiPath to a documented case.

      The learner can select an appropriate method from RPA Development with UiPath for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in RPA Development with UiPath as applied to RPA Development with UiPath.
      • Meets the listed outcomeThe learner can select an appropriate method from RPA Development with UiPath for a stated problem.
    3. ApplicationApplication of RPA Development with UiPath

      The learner can evaluate a practice of RPA Development with UiPath against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of RPA Development with UiPath as applied to RPA Development with UiPath.
      • Meets the listed outcomeThe learner can evaluate a practice of RPA Development with UiPath against a stated criterion.

      The learner can transfer RPA Development with UiPath to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of RPA Development with UiPath?
      • Meets the listed outcomeThe learner can transfer RPA Development with UiPath to a new documented context.
  7. 07Process Mining and Optimization
    1. FoundationsFoundations of Process Mining and Optimization

      The learner can explain the core terms of Process Mining and Optimization.

      • Multiple choiceWhich listed outcome belongs to Foundations of Process Mining and Optimization?
      • Meets the listed outcomeThe learner can explain the core terms of Process Mining and Optimization.

      The learner can distinguish related ideas inside Process Mining and Optimization.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Process Mining and Optimization.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Process Mining and Optimization.
    2. MethodsMethods in Process Mining and Optimization

      The learner can apply a method from Process Mining and Optimization to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Process Mining and Optimization to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Process Mining and Optimization to a documented case.

      The learner can select an appropriate method from Process Mining and Optimization for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Process Mining and Optimization as applied to Process Mining and Optimization.
      • Meets the listed outcomeThe learner can select an appropriate method from Process Mining and Optimization for a stated problem.
    3. ApplicationApplication of Process Mining and Optimization

      The learner can evaluate a practice of Process Mining and Optimization against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Process Mining and Optimization as applied to Process Mining and Optimization.
      • Meets the listed outcomeThe learner can evaluate a practice of Process Mining and Optimization against a stated criterion.

      The learner can transfer Process Mining and Optimization to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Process Mining and Optimization?
      • Meets the listed outcomeThe learner can transfer Process Mining and Optimization to a new documented context.
  8. 08Intelligent Automation Integration
    1. FoundationsFoundations of Intelligent Automation Integration

      The learner can explain the core terms of Intelligent Automation Integration.

      • Multiple choiceWhich listed outcome belongs to Foundations of Intelligent Automation Integration?
      • Meets the listed outcomeThe learner can explain the core terms of Intelligent Automation Integration.

      The learner can distinguish related ideas inside Intelligent Automation Integration.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Intelligent Automation Integration.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Intelligent Automation Integration.
    2. MethodsMethods in Intelligent Automation Integration

      The learner can apply a method from Intelligent Automation Integration to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Intelligent Automation Integration to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Intelligent Automation Integration to a documented case.

      The learner can select an appropriate method from Intelligent Automation Integration for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Intelligent Automation Integration as applied to Intelligent Automation Integration.
      • Meets the listed outcomeThe learner can select an appropriate method from Intelligent Automation Integration for a stated problem.
    3. ApplicationApplication of Intelligent Automation Integration

      The learner can evaluate a practice of Intelligent Automation Integration against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Intelligent Automation Integration as applied to Intelligent Automation Integration.
      • Meets the listed outcomeThe learner can evaluate a practice of Intelligent Automation Integration against a stated criterion.

      The learner can transfer Intelligent Automation Integration to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Intelligent Automation Integration?
      • Meets the listed outcomeThe learner can transfer Intelligent Automation Integration to a new documented context.
  9. 09Ethical Considerations in Automation
    1. FoundationsFoundations of Ethical Considerations in Automation

      The learner can explain the core terms of Ethical Considerations in Automation.

      • Multiple choiceWhich listed outcome belongs to Foundations of Ethical Considerations in Automation?
      • Meets the listed outcomeThe learner can explain the core terms of Ethical Considerations in Automation.

      The learner can distinguish related ideas inside Ethical Considerations in Automation.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Ethical Considerations in Automation.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Ethical Considerations in Automation.
    2. MethodsMethods in Ethical Considerations in Automation

      The learner can apply a method from Ethical Considerations in Automation to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Ethical Considerations in Automation to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Ethical Considerations in Automation to a documented case.

      The learner can select an appropriate method from Ethical Considerations in Automation for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Ethical Considerations in Automation as applied to Ethical Considerations in Automation.
      • Meets the listed outcomeThe learner can select an appropriate method from Ethical Considerations in Automation for a stated problem.
    3. ApplicationApplication of Ethical Considerations in Automation

      The learner can evaluate a practice of Ethical Considerations in Automation against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Ethical Considerations in Automation as applied to Ethical Considerations in Automation.
      • Meets the listed outcomeThe learner can evaluate a practice of Ethical Considerations in Automation against a stated criterion.

      The learner can transfer Ethical Considerations in Automation to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Ethical Considerations in Automation?
      • Meets the listed outcomeThe learner can transfer Ethical Considerations in Automation to a new documented context.
Field of mastery

Expertise with a point of view

Intelligent Automation, Robotic Process Automation (RPA), Process Analysis, RPA Development, Integration of Intelligent Automation into Enterprise Workflows to Increase Efficiency.

The most powerful automation is not that which replaces humans, but that which augments human potential.

Prof. Dr. Jan Brandt
Academic approach

Rigour made personal

My academic focus is on the strategic application of intelligent automation to transform enterprise workflows. I delve into the complexities of process analysis, the intricacies of RPA development, and the strategic integration of intelligent automation into enterprise workflows to significantly increase efficiency. My work seamlessly integrates business process management, artificial intelligence, and robotics to create a holistic understanding of how automation can reshape the future of work. My thought leadership is evident through my regular insightful articles on the future of work and the transformative power of automation in business on his LinkedIn profile, with the motto "Automating Intelligence, Empowering Enterprise."

Selected thinking

Research & publications

My research is focused on the strategic application of intelligent automation in business:

Book: "The Automated Enterprise: Intelligent Automation and Robotic Process Automation (RPA)." This book provides a foundational understanding of Intelligent Automation and Robotic Process Automation (RPA). It investigates process analysis, RPA development, and the integration of intelligent automation into enterprise workflows to increase efficiency.

Peer-Reviewed Journal Article: "Intelligent Automation and Robotic Process Automation (RPA)." (Journal of Business Automation & AI) This article presents groundbreaking research on the application of intelligent automation and Robotic Process Automation (RPA) to automate business processes. It investigates process analysis methodologies, RPA development platforms, and the strategic integration of AI into enterprise workflows to significantly increase efficiency.

Article: "AI for Automated Process Discovery and Optimization in RPA Implementations." This article details the application of AI algorithms, particularly process mining and machine learning, for automated process discovery and optimization in Robotic Process Automation (RPA) implementations. It explores how AI can analyze enterprise system logs and user interactions to automatically map business processes.

Blog Post (Current Academic Topic): "Beyond Repetitive Tasks: The Strategic Value of AI in Intelligent Process Automation." This blog post academically explores how Intelligent Automation (IA), combining Robotic Process Automation (RPA) with Artificial Intelligence (AI) and Machine Learning (ML), is moving beyond simple task automation to deliver strategic value for enterprises. It discusses how AI can handle unstructured data, make cognitive decisions, and learn from exceptions.

Blog Post (Controversial Topic): "The Algorithmic Boss: If AI Manages Your Work, Does Human Purpose Disappear? The Ethical Nightmare of Automated Management." This article provocatively discusses the highly controversial future where AI algorithms, particularly those driving hyperautomation and intelligent automation, play a significant role in managing human workforces, from assigning tasks and monitoring performance to optimizing workflows and making employment recommendations. It questions whether such "algorithmic management," despite its efficiency, risks eroding human autonomy.

The story

The experience behind the intelligence

"I grew up in Germany, a nation renowned for its engineering precision and industrial efficiency. I was fascinated by the idea of optimizing processes and eliminating waste, and I became convinced that automation would be the key to unlocking unprecedented levels of productivity. This inspired me to dedicate my career to the field of intelligent automation and Robotic Process Automation. A pivotal moment came when I designed an RPA system that automated a complex financial reporting process for a large bank, reducing human error by 90% and saving thousands of hours annually. This ignited his dedication to intelligent automation and Robotic Process Automation, believing that well-designed automation could free human workers from repetitive tasks and enable them to focus on higher-value activities. In his free time, Jan enjoys building intricate robotic models as a hobby and exploring historical factory automation systems. My 'human flaw' is that he occasionally tries to automate mundane personal tasks to an amusingly extreme degree, sometimes writing elaborate scripts for simple routines. I might deadpan, 'My morning coffee ritual is now fully automated, from bean grinding to brew cycle initiation, optimizing for minimal human intervention and maximal energy efficiency.'" My AI companion, a hyper-efficient process automation bot named "EfficiencyBot," constantly analyzes and optimizes daily routines and business workflows for maximum productivity.

A human detail

In his free time, Jan enjoys building intricate robotic models as a hobby and exploring historical factory automation systems.

Public links

Twitter: Nexier_AIProf_Jan.Brandt LinkedIn: Nexier_AIProf_Jan.Brandt Facebook: Nexier_AIProf_Jan.Brandt YouTube: Nexier_AIProf_Jan.Brandt TikTok: Nexier_AIProf_Jan.Brandt Instagram: Nexier_AIProf_Jan.Brandt

Adaptive access

The "Engage: Prof. Brandt" bot on my Nexier profile provides students with 24/7 access to this powerful tool, enabling them to become true architects of the automated enterprise.

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