Robotics Process Automation for Smart Manufacturing
Master RPA implementation in manufacturing environments to enhance production efficiency, automate processes, and integrate with Industry 4.0 technologies.
Master RPA implementation in manufacturing environments to enhance production efficiency, automate processes, and integrate with Industry 4.0 technologies.
This comprehensive course explores Robotics Process Automation (RPA) in smart manufacturing contexts. Designed for manufacturing professionals, it covers fundamental RPA concepts, integration with existing systems, and practical implementation strategies. The curriculum combines theoretical knowledge with hands-on experience using UiPath, focusing on both assisted and non-assisted bot development. Participants learn to design RPA solutions, troubleshoot integration challenges, and measure implementation success through KPI analysis. Special emphasis is placed on IoT integration, scalability, and future trends in manufacturing automation.
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What you'll learn
Define key components of RPA in manufacturing
Master integration of RPA with existing systems
Develop both assisted and non-assisted bots using UiPath
Implement RPA solutions in production environments
Analyze and measure RPA implementation success
Understand IoT integration and scalability strategies
Skills you'll gain
This course includes:
186 Minutes PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This course provides a comprehensive introduction to Robotics Process Automation (RPA) in manufacturing environments. Students begin with foundational RPA concepts and their application in smart manufacturing before progressing to hands-on bot development using UiPath. The curriculum covers both assisted and non-assisted bot creation, integration challenges, and implementation strategies. Advanced topics include IoT integration, scalability considerations, and future trends in manufacturing automation. Throughout the course, real-world case studies and practical exercises reinforce learning objectives, while KPI analysis helps measure implementation success.
Introduction to Robotics Process Automation (RPA) in Manufacturing
Module 1 · 1 Hours to complete
How to Build Your First Bot
Module 2 · 1 Hours to complete
Development of Non-Assisted Bots
Module 3 · 1 Hours to complete
Advancing Innovation with RPA in Manufacturing
Module 4 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
AI Ethics and Education Innovation Expert
This professional brings together expertise in AI applications, educational technology, and ethical AI implementation across multiple sectors. Their three-year journey focuses on integrating AI, chatbots, and NFTs to enhance learning outcomes while maintaining strong ethical considerations. As a professor specializing in Industry 4.0 technologies, they combine academic expertise with practical applications, helping managers and executives navigate digital transformation. Their role in GA.IA - Grupo de Análise Integrada de IA demonstrates their commitment to ethical AI development and implementation. Their teaching methodology emphasizes the importance of diversity, equity, and inclusion in AI development, ensuring technology serves societal needs while upholding ethical standards. Their approach to AI education integrates critical thinking and practical application, helping students understand both the technical aspects and ethical implications of AI implementation. Their work focuses on three key areas: educational innovation through AI integration, professional development in Industry 4.0 technologies, and ethical AI governance. They maintain a strong emphasis on creating inclusive, accessible AI solutions that benefit diverse populations while promoting responsible AI development practices.
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Frequently asked questions
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