Free Download Udemy - Industry 5.0
Published: 3/2025
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz
Language: English |
Size: 2.86 GB |
Duration: 9h 46m
Fundamental of Industry 5.0
What you'll learn
Sustainable Manufacturing
MCDA - multi criteria Decision making
Digital Twins and Simulation
Using IA and how to create prompts to chatbox
Requirements
This course is accessible to everyone, regardless of background or experience. We believe everyone deserves the opportunity to learn, so we've structured the curriculum to be easy to follow and understand, even if you're starting from scratch.
Description
Hello everyone, my name is Dimas and I will be you teacher In the course industry 5.0, let me talk about what you are going to learn in this course and how this information is going to help you to achieve your success in your professional life.Module 01Industry 5.0 is the next stage of industrial evolution, building on Industry 4.0's automation by prioritizing human-centricity, resilience, and sustainability. It emphasizes collaboration between humans and advanced technologies like AI and robotics, focusing on personalized production, robust supply chains, and environmentally responsible practices.Module 02Industry 5.0 leverages AI and machine learning for automation and personalization, collaborative robots (cobots) for human-robot teamwork, the IIoT for real-time data insights, additive manufacturing for on-demand production, and digital twins for virtual simulations, driving human-centric, resilient, and sustainable manufacturingModule 03Human-centric design in Industry 5.0 prioritizes worker well-being and skills development. It focuses on creating meaningful and ergonomic work environments where humans collaborate effectively with technology, augmenting their abilities and fostering creativity, rather than simply replacing themModule 04Sustainable manufacturing in Industry 5.0 minimizes environmental impact through resource efficiency, waste reduction, and circular economy principles. 1 It emphasizes using eco-friendly materials, optimizing energy consumption, and implementing closed-loop systems for a more responsible and environmentally conscious production.Module 05Digital twins are virtual replicas of physical assets, processes, or systems. 1 In Industry 5.0, they enable simulations for optimizing performance, predicting maintenance needs, and testing changes in a virtual environment before implementation, reducing costs and improving efficiencyModule 06In Industry 5.0, data-driven decision-making is enhanced by AI and real-time insights from connected systems (IIoT). 1 This enables faster, more informed decisions regarding production optimization, resource allocation, predictive maintenance, and overall operational efficiency, empowering both humans and machinesModule 07Multi-criteria decision making (MCDM) in Industry 5.0 addresses complex choices involving multiple, often conflicting, objectives (e.g., cost, performance, sustainability). 1 MCDM techniques, combined with data analytics, help prioritize options and find optimal solutions that balance these competing criteriaModule 08In Industry 5.0, advanced robotics, especially collaborative robots (cobots), work alongside humans, augmenting their capabilities. 1 Cobots handle repetitive or dangerous tasks, freeing human workers for more complex, creative, and value-added activities, enhancing overall productivity and safetyModule 09CAE (Computer-Aided Engineering) systems use software to simulate and analyze product performance. 1 In Industry 5.0, CAE integrates with digital twins and AI, enabling virtual testing, optimization, and predictive analysis, accelerating product development and improving efficiency and sustainabilityModule 10Design of Experiments (DOE) is a structured approach to systematically investigate the effects of various factors on a process or product. In Industry 5.0, DOE, combined with data analytics and simulation, optimizes processes, improves product quality, and reduces variability through efficient experimentationModule 11Python's fundamentals include variables, data types (integers, floats, strings, lists), operators, control flow (if/else statements, loops), functions for reusable code blocks, and object-oriented programming (OOP) concepts for structuring complex programs. These form the basis for diverse applicationsModule 12Using AI involves interacting with trained models through prompts. Effective prompts are clear, specific instructions that guide the AI's response. They define the desired output format, context, and constraints, leading to more relevant and accurate results from chatbots and other AI applicationsAnd to help you to develop your abilities, I created 950 exercises to help you in each specific issue.Have a good course
Engineers, Analysts, Managers, Mechanic, Scientist (Biologist, Chemist, Physicist), Researcher, Student,In today's rapidly evolving world, staying up-to-date with new technologies is crucial. Learning about these advancements isn't just about keeping pace; it's about unlocking new opportunities, enhancing your skills, and securing your future.
Homepage:
Код:
https://www.udemy.com/course/industry_5_0/
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