Manual work isn’t slowing teams down because it’s complex – it’s slowing them down because it’s repetitive, fragile, and dependent on humans performing the same steps over and over again. Robotic Process Automation (RPA) addresses this gap by allowing software bots to replicate human actions across applications, systems, and files, turning routine workflows into reliable, repeatable automations.
In this session, we’ll explore why many automation projects fail – unclear process selection, overly complicated solutions, fragile workflows, and lack of practical knowledge. You’ll learn the key principles behind effective desktop automation and how tools like Power Automate can help create reliable, repeatable processes.
A live, hands-on demonstration will guide you through building an end-to-end workflow. You’ll see how to capture real user actions, incorporate logic and decision-making, handle errors, and structure automations that work in real business environments — not just as demos. By the end, you’ll understand how automation fits into everyday workflows and have the confidence to start creating your own solutions.
RPA Basics & Use Cases – What RPA is, where it fits in business workflows, and how to spot processes to automate.
Power Automate Desktop Overview – Flows, actions, variables, and attended vs. unattended automations.
Recording & Building Automations – Turn recorded user actions into structured, real-world workflows.
Logic & Control Flow – Add conditions, loops, and decision-making to handle different paths.
Error Handling & Reliability – Make automations resilient with retries, validations, and basic error handling.
Hands-On Walkthrough – Build a complete end-to-end automation during the session, from start to finish.
Next Steps – Learn how to scale and expand your automation journey beyond a single workflow.
Gain practical experience through real, interactive examples
Learn how to create reliable automations for business tasks
Leave with actionable skills you can start using immediately
Senior Data Scientist at Data Science Dojo