Logo Loader
Course

|

The AI and Robotics Process Automation (RPA) course in Geneva is designed for professionals looking to integrate AI and RPA technology to optimize business operations and improve process efficiency.

Geneva

Fees: 6600
From: 15-12-2025
To: 19-12-2025

Geneva

Fees: 6600
From: 23-02-2026
To: 27-02-2026

AI and Robotics Process Automation (RPA)

Course Overview

Robotics Process Automation (RPA) combined with Artificial Intelligence (AI) is transforming how organizations operate by automating repetitive tasks, reducing costs, and enabling smarter decision-making. This AI and Robotics Process Automation (RPA) Training Course introduces participants to the strategic and practical aspects of designing, deploying, and managing RPA solutions.

Participants will gain hands-on knowledge of how AI augments RPA to handle unstructured data, improve accuracy, and enable adaptive automation. The course includes case studies, simulations, and practical exercises that illustrate how automation enhances efficiency across industries.

By the end of the course, attendees will be ready to contribute to automation projects, align them with organizational goals, and support digital transformation initiatives.

Course Benefits

  • Understand the fundamentals of RPA and AI integration

  • Identify processes suitable for automation

  • Reduce errors and enhance productivity through RPA

  • Learn how AI extends automation beyond rules-based tasks

  • Build confidence to lead and manage automation initiatives

Course Objectives

  • Explore the principles and benefits of RPA in organizations

  • Apply frameworks to identify automation opportunities

  • Integrate AI into RPA for intelligent process automation

  • Understand governance, risk, and compliance in RPA adoption

  • Build automation strategies aligned with business objectives

  • Gain practical exposure to automation tools and workflows

  • Lead change management to support RPA initiatives

Training Methodology

The course uses a mix of interactive lectures, case studies, practical tool demonstrations, and group discussions. Participants will engage in scenario-based activities to apply automation concepts to real-world challenges.

Target Audience

  • Business and operations managers

  • Process improvement professionals

  • IT and automation specialists

  • Leaders driving digital transformation initiatives

Target Competencies

  • RPA and automation strategy

  • AI integration for business processes

  • Change management for automation

  • Operational efficiency leadership

Course Outline

Unit 1: Introduction to RPA and AI

  • Defining RPA and AI in business contexts

  • Key drivers for automation adoption

  • Benefits and challenges of automation

  • Industry use cases of RPA with AI

Unit 2: Identifying Automation Opportunities

  • Assessing processes for RPA suitability

  • Mapping workflows for automation

  • Cost-benefit analysis of automation projects

  • Prioritizing automation initiatives

Unit 3: RPA Tools and Platforms

  • Overview of leading RPA platforms

  • Core features and functionalities

  • Selecting the right tool for your organization

  • Demonstration of automation workflows

Unit 4: AI-Powered Automation

  • How AI extends RPA capabilities

  • Handling unstructured data with AI

  • Natural language processing and machine learning in RPA

  • Examples of intelligent automation

Unit 5: Governance, Risk, and Implementation

  • Setting up RPA governance frameworks

  • Managing risks and compliance in automation

  • Change management for workforce adaptation

  • Building a roadmap for sustainable automation

Ready to embrace intelligent automation?
Join the AI and Robotics Process Automation (RPA) Training Course with EuroQuest International Training and lead your organization into the future of digital efficiency.

AI and Robotics Process Automation (RPA)

The AI and Robotics Process Automation (RPA) Training Courses in Geneva provide professionals with a comprehensive understanding of intelligent automation technologies and their applications in modern organizational environments. These programs are designed for IT specialists, business analysts, operations managers, and strategic decision-makers who are looking to enhance efficiency, reduce manual workloads, and drive digital transformation across business processes.

Participants explore the foundations of Artificial Intelligence, machine learning, and Robotics Process Automation systems, focusing on how automated workflows can optimize repetitive tasks, improve accuracy, and support data-driven decision-making. The courses highlight both the technical and managerial dimensions of automation—covering process mapping, automation architecture, governance models, and performance measurement. Through practical exercises and hands-on labs, attendees learn to evaluate automation opportunities, configure RPA tools, and integrate AI-driven solutions into existing organizational systems.

These AI and RPA training programs in Geneva blend strategic insight with real-world application, ensuring participants understand how intelligent automation can drive innovation and operational resilience. Key topics include conversational automation, predictive analytics, digital workforce management, and change management strategies necessary for successful implementation. The curriculum emphasizes scalable automation frameworks that align with organizational objectives while maintaining quality and compliance.

Attending the AI and Robotics Process Automation courses in Geneva provides an exceptional learning experience enriched by the city’s global research and innovation landscape. Participants benefit from expert-led sessions, case study discussions, and collaborative learning with peers from diverse professional backgrounds. By completing this specialization, professionals will be equipped to lead automation initiatives, guide digital transformation strategies, and leverage AI and RPA technologies to enhance performance, improve service delivery, and support sustainable organizational growth in an increasingly technology-driven world.