Duration

Robotic Process Automation (RPA) Overview

2 days

Outline

I. Introduction to Robotic Process Automation

A. Definition and history of RPA

B. Benefits and limitations of RPA

C. RPA vs traditional automation

D. Key industries and applications of RPA

II. Core Components of RPA

A. RPA software tools

1. UiPath
2. Automation Anywhere
3. Blue Prism
4. Microsoft Power Automate

B. RPA development methodologies

1. Agile
2. Waterfall

C. RPA infrastructure and deployment options

1. On-premises
2. Cloud-based

III. RPA Development Process

A. Identifying automation opportunities

B. Process analysis and documentation

C. RPA solution design

D. RPA development and configuration

E. Testing and quality assurance

F. Deployment and maintenance

IV. RPA Best Practices and Governance

A. Building a Center of Excellence (CoE)

B. Establishing RPA governance

C. Scaling RPA across the organization

D. Security, privacy, and compliance considerations

V. RPA Use Cases and Case Studies

A. Finance and accounting

B. Human resources

C. Customer service

D. Supply chain and logistics

E. Healthcare and pharmaceuticals

F. Manufacturing

G. Public sector

VI. RPA Integration with Other Technologies

A. Artificial Intelligence (AI) and Machine Learning (ML)

B. Optical Character Recognition (OCR)

C. Natural Language Processing (NLP)

D. Internet of Things (IoT)

VII. RPA Project Management

A. Defining project scope and objectives

B. Resource planning and management

C. Risk management

D. Change management

E. Measuring success and return on investment (ROI)

VIII. RPA Career Paths and Certifications

A. RPA developer

B. RPA analyst

C. RPA solution architect

D. RPA project manager

E. Industry-specific RPA certifications

IX. Future of RPA

A. RPA trends and predictions

B. Impact on workforce and job market

C. Ethical considerations and responsible automation

Programme scope, delivery arrangements and suitability are confirmed during enquiry.