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Robotic Process Automation (RPA)
Bid adieu to the repetitve, clerical job and welcome Robotic Process Automation (RPA) to make processes simpler.

40Hours programme

Contact hours: 32 hours

  • Conceptual Learning
  • Hands-on Learning
  • Projects/ Assignments
  • Case studies/ Use cases
Programme Objectives
Robotic process automation (or RPA) is an emerging form of process automation technology based on the notion of software robots or artificial intelligence (AI). In traditional workflow automation tools, a software developer produces a list of actions to automate a task and interface to the back-end system using internal APIs. In contrast, RPA systems develop the action list by watching the user perform that task in the application's graphical user interface (GUI), and then perform the automation by repeating those tasks directly in the GUI. This course encompasses Artificial Intelligence and Machine Learning, Natural Language Processing, RPA lifecycle, RPA maturity model and also hands on using UiPath.
Who should go for the Programme?
The “Robotic process automation ” programme has been designed & developed primarily for traditional IT/ITES professionals who wish to learn the high-demand Robotics and Artificial Intelligence skillset. The programme is of significant value to the students who wish to work in this field.

Key Takeaways

  • Understand & appreciate the scope of Robotic process automation in various business domains
  • Articulate the concepts & applications of Robotic process automation and their environments/ ecosystem

Learning Mode

Curriculum Overview

Why do we need Process Automation?
Traditional Process Automation
What is Robotic Process Automation (RPA)
Benefits of RPA
Is it ‘End of Outsourcing’?
What is next?
Transactional to Analytical Approach
How does Robotic Process Automation work?
Automate repetitive tasks/process
Artificial Intelligence and Machine Learning
Natural Language Processing (NLP)
Machine Learning vs Deep Learning
Analyze Solution Design and Solution Architecture
Automate and Implement
Monitor
Measure
Control
Scope for Improvement and back to Analyze
Critical Activities:
Input Data Handling Solution Pattern
Exception Handling
Transaction Logging
Credential Management
Secure Execution
Monitoring and Reporting
Vision through Due Diligence
Capacity and Capability Building
Piloting and Organization-wide Implementation
Achieving Result
Optimizing
Financial Accounting
Sales and Marketing (e.g. Tendering and Bidding, Customer Relationship Management)
Human Resource Management
Supply Chain Management
Banking and Insurance
Healthcare
Retail
Travel and Tourism
Telecommunication
RPA – Benefits and Advantages (e.g. Productivity /Speed, Accuracy, Cost, Scalability, Reliability, Customer Satisfaction, Releasing human resource for High End / complex tasks)
RPA – Challenges and Limitations (e.g. Accountability, etc.)

Are there any Learning Pre-requisites?

Basis programming concept

MEET Our Consultants & Faculty

Goutam Das

M. Tech. (Computer Engineering), IIT Kharagpur

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Dr Nidhan "Neal" Choudhuri

Ph.D. (Statistics), Michigan State University

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Debjani Bhattacharya

M. Phil, Jadavpur University, B.E. (Electrical Engg.), MN-NIT Allahabad

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Ankhi Mukhopadhyay

MBA, IBS, Mumbai, B. Tech. (Chemical Engg.), Univ. of Calcutta

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Amrita Saha

M.Sc.(Economics) Calcutta University

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Manodip Das Sarma

M.Tech (Intelligent Automation and Robotics) from Jadavpur University, Kolkata.

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