Robotics Process Automation for Smart Manufacturing

This course provides a comprehensive introduction to Robotics Process Automation (RPA) within the realm of smart manufacturing. Learners explore RPA's concepts, integration with manufacturing, and impact on production efficiency and quality.

Camila Rossi

Electrical Engineering | core | 9 hours | Published: Jul 2024

In partnership with:

Discussions

Overview

1KSTUDENTS^*

94.9%RECOMMEND^*

This course includes:

On-demand videos
Practice assessments
Multiple hands-on learning activities
Exposure to a real-world project
100% self-paced learning opportunities
Certification of completion

This course provides a comprehensive introduction to Robotics Process Automation (RPA) within the realm of smart manufacturing. Learners will explore the foundational concepts of RPA, how it integrates with manufacturing systems, and the transformative impact it has on production efficiency and quality control. The course context involves examining case studies where RPA has been successfully implemented, understanding the challenges faced, and learning the key strategies for effective deployment.

Skills You Will Gain

Industrial Automation

Production Efficiency

Quality Control

Robotics Process Automation

Smart Manufacturing

Learning Outcomes (At The End Of This Program, You Will Be Able To...)

Define the key components of RPA in manufacturing.
Describe the integration of RPA with existing manufacturing systems.
Analyze case studies to identify effective RPA strategies.
Evaluate the impact of RPA on production efficiency and quality control.

Prerequisites

Basic understanding of manufacturing processes, familiarity with industrial automation concepts, introductory knowledge of programming logic, and awareness of quality control principles.

Who Should Attend

Manufacturing Engineers, Process Designers, Automation Technologists, Production Managers, Quality Assurance Specialists

Curriculum

Instructors

^*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.

Robotics Process Automation for Smart Manufacturing

Electrical Engineering | core | 9 hours | Published: Jul 2024

In partnership with:

Overview

1KSTUDENTS^*

94.9%RECOMMEND^*

This course includes:

On-demand videos
Practice assessments
Multiple hands-on learning activities
Exposure to a real-world project
100% self-paced learning opportunities
Certification of completion

Curriculum

Camila Rossi

With a passion for pioneering ventures in artificial intelligence (AI) and its multifaceted applications across diverse sectors like education, health, politics, and entertainment, I've dedicated over three years to spearheading groundbreaking initiatives. My journey as a trailblazer extends beyond mere innovation; it's about crafting solutions that not only harness the power of AI, chatbots, and non-fungible tokens (NFTs) but also profoundly impact learning outcomes and engagement within the edtech landscape. Through my role, I aim to redefine the educational experience by integrating cutting-edge technologies that inspire curiosity, foster critical thinking, and empower learners to navigate the complexities of the digital age. As an educator, my commitment extends beyond technological advancements. I'm driven by a deep-seated desire to impart knowledge and insights on AI and Industry 4.0 technologies. My experience as a professor goes beyond conventional teaching; it's about equipping managers and executives with the tools and strategies necessary to navigate the ever-evolving landscape of Industry 4.0. By bridging the gap between theory and practical application, I strive to empower professionals to optimize business processes and drive performance while upholding ethical standards and promoting social well-being, diversity, and equity. In addition to my academic endeavors, I actively engage in collaborative initiatives aimed at fostering dialogue on the ethical implications of AI advancement. As a member of GA.IA - Grupo de Análise Integrada de IA, I contribute to high-level discussions that transcend conventional boundaries, addressing the ethical complexities and challenges inherent in the evolution of AI. Through my involvement, I seek to facilitate a deep and continuous dialogue that navigates the ethical nuances of AI, ensuring that as we embrace the possibilities of this technology, we do so with a steadfast commitment to ethical principles and societal well-being.