Masterclass & Best Practices in Robotic Process Automation

Course Introduction

Designed for professionals in Artificial Intelligence & Data Science, this five-day masterclass-style course builds practical command of Robotic Process Automation. Every session pairs a clear concept with a workplace exercise, so learning turns into capability rather than notes.

Training Objectives

• 01Describe how Robotic Process Automation is defined, governed and measured in international practice
• 02Work through typical situations in data, analytics and automation initiatives using structured Robotic Process Automation techniques
• 03Recognise common risks, errors and non-conformities linked to Robotic Process Automation — and how to prevent them
• 04Choose the right indicators and records to monitor Robotic Process Automation over time
• 05Translate the course learning into a realistic plan agreed with your line manager

What You Will Take Away

• Sample datasets, scripts or configurations to reuse
• A roadmap for adopting the tools in your team
• Hands-on lab exercises with guided walkthroughs

Who Should Attend

• Business & Digital Transformation Leaders
• Data & Analytics Professionals
• IT & Innovation Managers
• Operations Managers Exploring AI

Prerequisites: Best suited to experienced practitioners and team leaders.

Training Methodology

Run as a senior-practitioner masterclass, the programme centres on expert-led discussion, peer exchange and deep analysis of complex situations. Case material and examples are drawn from data, analytics and automation initiatives.

Day-by-Day Programme (5 Days)

• Day 1
  Foundations and context

  Key terms, roles and the regulatory background behind Robotic Process Automation, with examples from data, analytics and automation initiatives.

• Day 2
  Methods and standards in depth

  A detailed look at frameworks, codes and decision methods used in Robotic Process Automation.

• Day 3
  Practical workshop day

  Group exercises and simulations that put Robotic Process Automation techniques to work.

• Day 4
  Case-study day

  Real-world cases, failure analysis and improvement options related to Robotic Process Automation.

• Day 5
  Action plan and assessment

  Review, individual action plans and a short assessment to confirm readiness to apply Robotic Process Automation.

Upcoming Sessions