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  1. Courses
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  3. Factory Automation

Factory Automation

This course provides a comprehensive understanding of factory automation, covering foundational concepts to practical applications. Participants will explore automation technology's foundations and practical applications in modern manufacturing.

Camila Rossi
Camila Rossi
Technology | core | 4 hours |   Published: Jul 2024
In partnership with: Coursera

    Discussions

Overview

1KSTUDENTS*
93.9%RECOMMEND*

This course includes:

  • 4 hours of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

This in-depth course offers a window into the revolutionizing world of factory automation. Participants will examine the foundational concepts of automation technology and its applications in modern manufacturing, evolving from theoretical frameworks to the implementation of specific automation solutions. The course will contextualize the role of automation in enhancing efficiency, safety, and innovation within industrial settings, providing practical insights into adopting and adapting these technologies in real-world scenarios. 

Skills You Will Gain

Control Systems
Factory Automation
Manufacturing Innovation
Production Efficiency
Robotics

Learning Outcomes (At the end of this program you will be able to)

  • Identify the components and types of factory automation systems. 
  • Describe the benefits and challenges of implementing automation in manufacturing. 
  • Assess the impact of automation technologies on production efficiency. 
  • Design a plan for integrating automation solutions into existing manufacturing processes. 

Prerequisites

Participants should have a basic understanding of manufacturing processes, familiarity with mechanical and electrical systems, introductory knowledge of industrial engineering, and awareness of safety and efficiency protocols in manufacturing.

 

 

 

Who Should Attend

Manufacturing Engineers, Production Managers, Industrial Designers, Automation System Integrators, Operations Analysts 

Curriculum

Instructors

Frequently Asked Questions

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Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1.1: The Evolution of Manufacturing
2Module 1.2: The Pillars of Automation
3Module 1.3: Advantages and Challenges of Automation
4Module 2.1: Planning for Automation
5Module 2.2: Automation Technology Selection
6Module 2.3: Automation and Workforce Development
7Module 3.1: Robotics in Manufacturing
8Module 3.2: AI and Machine Learning in Factory Automation
9Module 3.3: Ensuring Safety and Ergonomics in Automated Factories
10Module 4.1: Embracing Industry 5.0
11Module 4.2: Humanoid Robots in Manufacturing
12Module 4.3: Embracing Sustainability and Eco-friendly Automation

Segment 01 - Introduction and Welcome

Segment 02 - The History of Modern Manufacturing

Segment 03 - Understanding Industry 4.0 Technologies

Segment 04 - The impacts of automation in Manufacturing

Segment 05 - Introduction to Automation Technology

Segment 06 - The Automation Pyramid

Segment 07 - Types of Automation in Manufacturing

Segment 08 - Advantages of Automation

Segment 09 - Challenges of Automation

Segment 10 - Overcoming the Challenges of Automation

Segment 34 - Fundamentals of Humanoid Robots

Segment 35 - Benefits and Challenges of Humanoid Robots

Segment 36 - Case Study: Humanoid Robots in Production Line

Segment 11 - Assessing Factory Readiness for Automation

Segment 12 - Blueprinting Automation Integration

Segment 13 - Case Study Automation Success Stories

Segment 14 - Evaluating Automation Technologies

Segment 15 - Cost-Benefit Analysis of Automation

Segment 16 - Case Study Choosing the Right Tech

Camila Rossi

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.
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Segment 30 - Introduction to Module 4

Segment 31 - Foundations of Industry 5.0

Segment 32 - The Synergy of Industry 5.0 within Objectives of Sustainable Development

Segment 33 - Integrating Ethics and Technology in Industry 5.0

Segment 24 - AI in Manufacturing

Segment 25 - Basic Types of Machine Learning Models

Segment 26 - Implementing Machine Learning

Segment 20 - Introduction to Module 3

Segment 21 - Introduction to Industrial Robots

Segment 22 - Robotics System Configuration

Segment 23 - Case Study Robotic Innovation in Production

Segment 17 - The Human Factor in Automation

Segment 18 - Training for an Automated Workplace

Segment 19 - Upskilling for Automation

Segment 37 - Automation for Sustainable Manufacturing-

Segment 38 - ESG for Manufacturing

Segment 39 - Case Study: Green Automative Initiatives

Segment 40 - Wrap-up & Key-takeaways

Segment 27 - Safety Standards for Automated Equipment

Segment 28 - Ergonomic Design in Automation

Segment 29 - Ergonomic equipment for Factory Automation