We may earn an affiliate commission when you visit our partners.
Course image
Course image
Coursera logo

Robotics Process Automation for Smart Manufacturing

Camila Rossi

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.

Read more

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.

Enroll now

What's inside

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.
Read more
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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Tailored for manufacturing professionals, including Manufacturing Engineers, Process Designers, Automation Technologists, Production Managers, and Quality Assurance Specialists
Geared towards individuals seeking to enhance production efficiency, streamline workflows, or optimize quality control
Assumes a basic understanding of manufacturing processes, familiarity with industrial automation concepts, introductory knowledge of programming logic, and awareness of quality control principles
Provides real-world case studies to analyze successful RPA implementations
Led by instructor Camila Rossi

Save this course

Save Robotics Process Automation for Smart Manufacturing to your list so you can find it easily later:
Save

Activities

Coming soon We're preparing activities for Robotics Process Automation for Smart Manufacturing . These are activities you can do either before, during, or after a course.

Career center

Learners who complete Robotics Process Automation for Smart Manufacturing will develop knowledge and skills that may be useful to these careers:
RPA Developer
An RPA Developer designs, develops, and implements RPA solutions. This course will help you build a foundation in RPA that you can use to advance your career as an RPA Developer.
RPA Consultant
An RPA Consultant helps organizations implement RPA solutions. This course will help you build a foundation in RPA that you can use to advance your career as an RPA Consultant.
RPA Analyst
An RPA Analyst identifies and analyzes opportunities for RPA implementation. This course will help you build a foundation in RPA that you can use to advance your career as an RPA Analyst.
Production Manager
A Production Manager oversees the production process in a manufacturing setting. RPA is a technology that can be used to automate tasks in a manufacturing setting, so this course will help you build a foundation in RPA that you can use to advance your career as a Production Manager.
Process Engineer
A Process Engineer designs and improves manufacturing processes. RPA is a technology that can be used to automate tasks in a manufacturing setting, so this course will help you build a foundation in RPA that you can use to advance your career as a Process Engineer.
Manufacturing Engineer
A Manufacturing Engineer designs, develops, and implements manufacturing processes and systems. RPA is a technology that can be used to automate tasks in a manufacturing setting, so this course will help you build a foundation in RPA that you can use to advance your career as a Manufacturing Engineer.
Automation Engineer
An Automation Engineer designs, develops, and maintains automated systems that are used in a variety of industries, including manufacturing. Robotics Process Automation (RPA) is a technology that can be used to automate tasks in a manufacturing setting, so this course will help you build a foundation in RPA that you can use to advance your career as an Automation Engineer.
Quality Assurance Engineer
A Quality Assurance Engineer ensures that products and processes meet quality standards. RPA is a technology that can be used to automate tasks in a manufacturing setting, so this course will help you build a foundation in RPA that you can use to advance your career as a Quality Assurance Engineer.
Supply Chain Manager
A Supply Chain Manager oversees the flow of goods and services from suppliers to customers. RPA is a technology that can be used to automate tasks in supply chain management, so this course may be useful to you if you are interested in a career in supply chain management.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. RPA is a type of software application, so this course may be useful to you if you are interested in a career in software engineering.
Business Analyst
A Business Analyst analyzes business processes and develops solutions to improve efficiency. RPA is a technology that can be used to automate tasks in business analysis, so this course may be useful to you if you are interested in a career in business analysis.
Operations Manager
An Operations Manager oversees the day-to-day operations of an organization. RPA is a technology that can be used to automate tasks in operations management, so this course may be useful to you if you are interested in a career in operations management.
Quality Control Manager
A Quality Control Manager oversees the quality of products and services. RPA is a technology that can be used to automate tasks in quality control, so this course may be useful to you if you are interested in a career in quality control.
Data Analyst
A Data Analyst collects, analyzes, and interprets data. RPA is a technology that can be used to automate tasks in data analysis, so this course may be useful to you if you are interested in a career in data analysis.
Project Manager
A Project Manager plans, executes, and closes projects. RPA is a technology that can be used to automate tasks in project management, so this course may be useful to you if you are interested in a career in project management.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Robotics Process Automation for Smart Manufacturing .
Provides practical guidance on implementing RPA solutions, including project planning, vendor selection, and change management. It valuable resource for those involved in RPA implementation.
Introduces Python for data analysis, which can be useful for RPA development and data-driven process automation.
Offers a simplified introduction to quality control principles, which are important for understanding the role of RPA in quality assurance.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Robotics Process Automation for Smart Manufacturing .
Factory Automation: Shaping the Future of Manufacturing
Most relevant
Industry 4.0: PLM, Value Chain, and Smart Factory
Most relevant
Welding Processes in Heavy Manufacturing & Quality...
Most relevant
Technology for Continuous Production of Medicines
Most relevant
Industrial Fluid systems & Smart Factory Automation
Most relevant
Cognitive Solutions and RPA Analytics
Most relevant
Foundations in Heavy Industry Production
Most relevant
Manufacturing Systems II
Most relevant
Making the Case for Robotic Process Automation
Most relevant
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser