This course provides an intermediate-level exploration of Robotics Process Automation (RPA) within the realm of smart manufacturing, catering to manufacturing engineers, process designers, automation technologists, and quality assurance specialists. Over a duration of 4 hours, participants will delve into the foundational concepts of RPA, its integration with existing manufacturing systems, and its transformative impact on production efficiency and quality control. Through real-world case studies, learners will analyze successful RPA implementations, understand deployment challenges, and acquire strategies for effective integration.
This course is tailored for professionals involved in manufacturing processes, including Manufacturing Engineers, Process Designers, Automation Technologists, Production Managers, and Quality Assurance Specialists. Whether you're looking to enhance production efficiency, streamline workflows, or optimize quality control, this course offers invaluable insights and practical skills to excel in your field.
To fully benefit from this course, it's recommended to have a basic understanding of manufacturing processes, familiarity with industrial automation concepts, introductory knowledge of programming logic, and awareness of quality control principles.
Key learning objectives include defining RPA components in manufacturing, describing integration with existing systems, analyzing case studies to identify effective strategies, and evaluating RPA's impact on efficiency and quality control. Participants will gain skills in designing RPA solutions, implementing them in production lines, troubleshooting integration issues, and measuring effectiveness through KPI analysis. Throughout the course, engagement is ensured through in-video questions, thought-provoking discussion prompts, and a final graded exam, fostering critical thinking and problem-solving abilities among learners.
By course completion, professionals will be equipped to navigate the complexities of RPA deployment in manufacturing settings confidently. Armed with a deeper understanding of RPA's relevance, integration challenges, and impact, participants will be poised to drive innovation and optimization in smart manufacturing environments. This course serves as a comprehensive foundation for those seeking to leverage RPA's transformative potential in reshaping the future of manufacturing automation.
Overview
Syllabus
- Introduction to Robotics Process Automation (RPA) in Manufacturing
- Module 1 provides a comprehensive introduction to Robotics Process Automation (RPA) within the manufacturing sector, covering fundamental concepts, deployment strategies, integration techniques, and impact measurement methodologies.
- How to Build Your First Bot
- Module 2 focuses on introducing learners to the development of robotic process automation (RPA) bots using UiPath. It covers the fundamentals of RPA development, setting up the UiPath environment, and building basic assisted bots.
- Development of Non-Assisted Bots
- Module 3 focuses on the development of non-assisted bots, primarily utilizing UiPath as the RPA platform. Learners will delve into creating unattended bots for data processing, automating complex tasks, and managing bots post-development using UiPath Orchestrator.
- Advancing Innovation with RPA in Manufacturing
- Module 4 focuses on the integration of Robotic Process Automation (RPA) with cutting-edge technologies such as the Internet of Things (IoT) and Industry 4.0 within the manufacturing sector. It explores how RPA drives innovation, scalability, and efficiency in modern manufacturing operations.
Taught by
Camila Rossi
