ROBOT (Robotic Process Automation & Intelligent Automation) Overview

The ROBOT Training Course is designed to provide participants with the knowledge and hands-on skills required to design, develop, and deploy software robots that automate repetitive business processes.

This course introduces Robotic Process Automation (RPA) concepts and expands into intelligent automation, combining bots with AI capabilities such as OCR, machine learning, and decision-making logic.

Participants will learn how to streamline workflows, reduce operational costs, and improve efficiency by implementing automation solutions in real-world business scenarios.

 

Duration 3-4 Days – 24-32 hrs

 

Objectives 

• Understand the fundamentals of robotics and RPA in business environments
• Identify processes suitable for automation
• Design and develop software robots (bots)
• Use leading RPA tools such as UiPath, Automation Anywhere, or Microsoft Power Automate
• Automate tasks such as data entry, report generation, and system integration
• Implement intelligent automation using OCR and AI services
• Manage bot deployment, monitoring, and maintenance
• Apply governance, security, and best practices in automation

  

Target Audience 

• Business Analysts and Process Owners
• IT Professionals and Developers
• Operations and Back-Office Teams
• Finance, HR, and Customer Service Staff
• Digital Transformation and Innovation Teams
• Anyone interested in automation and productivity tools

 

Prerequisites 

• Basic understanding of business processes
• Familiarity with computers and office applications
• Basic logic or programming knowledge (helpful but not required)
• No prior RPA experience required

Course Outline

 Module 1: Introduction to Robotics and RPA 

• What is Robotics and RPA?
• Benefits and business impact of automation
• RPA vs traditional automation
• Overview of RPA tools and ecosystem

Module 2: Process Identification and Design

• Identifying automation opportunities
• Process mapping and documentation
• ROI and feasibility analysis
• Designing automation workflows

Module 3: Getting Started with RPA Tools 

• Overview of RPA platforms
• Setting up development environments
• Understanding bot architecture
• Creating first automation workflows

Module 4: Bot Development (Hands-On) 

• Recording and designing workflows
• Automating web and desktop applications
• Data extraction and input automation
• Exception handling and debugging

Module 5: Advanced Automation Techniques 

• Working with APIs and system integration
• File handling and database interactions
• Reusable components and modular design
• Scheduling and orchestration of bots

Module 6: Intelligent Automation and AI Integration 

• Introduction to intelligent automation
• OCR (Optical Character Recognition)
• AI-powered decision-making
• Integrating RPA with AI/ML services

Module 7: Deployment, Monitoring, and Governance 

• Deploying bots in production
• Monitoring and performance tracking
• Security and access control
• Governance and compliance best practices

Module 8: Capstone Project (Hands-On) 

• Design and build an end-to-end automation solution
• Example: Invoice processing, report automation, or data migration
• Testing and deployment
• Presentation and evaluation