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Course

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The AI and Robotics Process Automation (RPA) in Brussels is a practical training course designed to help professionals streamline operations using AI-driven automation.

Brussels

Fees: 5900
From: 19-01-2026
To: 23-01-2026

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 Brussels equip professionals with the knowledge and practical skills to design, implement, and manage intelligent automation solutions that enhance operational efficiency, accuracy, and strategic decision-making. Designed for business leaders, IT managers, process improvement specialists, and automation professionals, these programs focus on leveraging AI and RPA technologies to optimize workflows across diverse organizational functions.

Participants gain a comprehensive understanding of AI and RPA integration, including process identification, automation design, machine learning applications, and intelligent workflow deployment. The courses emphasize practical techniques for analyzing business processes, reducing manual effort, minimizing errors, and accelerating operational tasks. Through hands-on exercises, simulations, and real-world case studies, attendees learn to implement scalable RPA solutions, integrate AI-driven decision support, and monitor automation performance to ensure measurable business impact.

These AI and RPA training programs in Brussels combine technical expertise with strategic and operational perspectives, ensuring participants can align automation initiatives with organizational goals and regulatory requirements. Key topics include end-to-end process mapping, AI-powered decision automation, security considerations, governance, and continuous improvement of automated workflows. Participants also explore methods to foster collaboration between human teams and automated systems, ensuring that technology enhances productivity while maintaining quality and compliance.

Attending these training courses in Brussels offers professionals the opportunity to learn from international experts and connect with peers from a range of industries, exchanging insights on emerging trends, best practices, and innovative automation strategies. The city’s position as a hub for European business, technology, and governance provides an ideal environment to explore cutting-edge solutions in AI and process automation. By completing this specialization, participants will be equipped to implement intelligent automation frameworks, optimize operations, and drive efficiency—enhancing organizational agility, competitiveness, and long-term growth in today’s rapidly evolving digital landscape.