Module 1:

Introduction to Robotic
Automation   

Delve into the foundational concepts of RPA and its profound implications for the fields of accounting and finance. Explore not only the remarkable benefits that RPA brings to the table but also the intricate challenges and ethical considerations that demand careful attention during its implementation.  
 

Module 2:
Process Optimisation

Core aspects of process optimization, exploring its significance within the context of RPA and understanding how it plays a pivotal role in successful RPA integration.

Module 3:
Software Training - Python Automation 

Fundamental aspects of Python programming, providing an insightful guide for beginners and a comprehensive review for those looking to refresh their knowledge. 

Module 4:
Software Training - Python Excel &
Microsoft Power Automate

Python-Excel Automation streamlines data processing, complex calculations, and visualization in Excel. It enhances efficiency and accuracy in financial modeling, data analysis, and integration with external sources.

Microsoft Power Automate automates workflows, notifications, and data integration. It reduces manual effort, enhances scalability, and ensures compliance in finance and accounting processes
 

Module 5:
Practical Applications & Cases

Explore real-world applications of data handling and predictive analytics within the accounting and finance sector, emphasizing their relevance for Robotic Process Automation (RPA), compliance and anomaly detection.

Wrap up:
Looking Ahead & Continuous Learning

Reflection on two key takeaways; Navigating RPA trends and the path ahead and the journey of continuous learning & optimising.