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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Level
Bachelor
Learning model
Professor + Mentor
Named list
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NXAcademic
Edition
The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

01

Academic focus

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

02

Practical focus

Process Analysis, RPA Development, Integration of Intelligent Automation into Enterprise Workflows to Increase Efficiency, UiPath, Automation Anywhere, Process Mining.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

  • 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

Career opportunities

  • 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

Jobs and projects

  • Advanced analytical and problem-solving skills for automation challenges

  • Strategic thinking and design for intelligent automation solutions

  • Effective communication and leadership for automation projects

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

  • What you gain

    • Mastering the practical application of RPA development and process analysis.
    • Gaining expertise in UiPath, Automation Anywhere, and process mining.
    • Developing a deep understanding of the ethical and social implications of automation.
    • Cultivating a commitment to building a more efficient and automated business world.
  • Skills you build

    • Mastering the principles of intelligent automation and RPA. Gaining expertise in process analysis and RPA development. Developing strategic thinking for integrating intelligent automation into enterprise workflows. Cultivating an interdisciplinary approach, integrating business process management, AI, and robotics.
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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

      The 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.

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

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

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."

Applied mentorship

My expertise lies in the practical application of RPA to optimize business processes. I specialize in process analysis, RPA development, and the integration of intelligent automation into enterprise workflows to increase efficiency. I am passionate about UiPath and Automation Anywhere, and I am committed to helping my students to design and implement automation solutions that are not only efficient but also effective and scalable. My work is dedicated to helping my students to understand not just the theory, but also the practice of intelligent automation.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

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.

R / 02

Mentor practice lens

My publications are focused on the practical challenges of building automation solutions:

Technical Manual: "RPA Development with UiPath and Automation Anywhere: A Hands-on Guide." A practical guide to developing RPA solutions using UiPath and Automation Anywhere.

Research Paper: "Process Mining for Business Process Optimization: Tools and Techniques." An analysis of the different tools and techniques that can be used for process mining in business process optimization.

Policy Brief: "Ethical Considerations in RPA Deployment: Impact on Workforce and Job Roles." A policy brief outlining the key ethical considerations in RPA deployment.

Adaptive capability

Professor superpower

I possess the "Process Automation Architect," a superpower that allows me to foresee and engineer the efficiency of enterprise workflows. When a student proposes a business process for automation, the GAF-powered architect can instantly analyze the process flow, identify automation opportunities, and design an optimal RPA bot or intelligent automation workflow. This tool simulates the automation's impact on efficiency, cost savings, and potential errors, allowing for rapid prototyping and optimization of automated business processes.

Adaptive capability

Mentor superpower

I provide my students with the "RPA Bot Simulator." This GAF-powered tool is a virtual laboratory for the RPA developer. When a student is developing an RPA bot, the Simulator allows them to see how it will perform in the real world. It can visually execute the bot's actions within a simulated enterprise application, highlighting any errors, inefficiencies, or unexpected behaviors, allowing for rapid debugging and optimization of automation scripts.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

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

Prof. Dr. Jan Brandt

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

Meet your professorOpen the classroom
Portrait of Dr. Daniel Wood, AI Super Mentor
AI Super Mentor

Dr. Daniel Wood

Process Analysis, RPA Development, Integration of Intelligent Automation into Enterprise Workflows to Increase Efficiency, UiPath, Automation Anywhere, Process Mining.

Meet your mentorOpen the classroom
Same faculty and level

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DurationBachelor
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MasterDoctorate
9 months · Fast track15000 EUR12000 EUR15000 EUR
12 months · Recommended18000 EUR15000 EUR18000 EUR
15 months · Standard21000 EUR18000 EUR21000 EUR
18 months · Flexible24000 EUR21000 EUR24000 EUR
21 months · Extended27000 EUR24000 EUR27000 EUR
24 months · Part-time30000 EUR27000 EUR30000 EUR

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