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[info]Published 6/2024 Created by Advancedor Academy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 25 Lectures ( 1h 41m ) | Size: 638 MB/info] Analysis and modeling of data collected from machine sensors What you'll learn: Grasp the fundamental concepts and technologies of Industry 4.0, including IoT, IIoT, predictive maintenance, and real-time data processing. Implement machine learning and deep learning algorithms for predictive maintenance, anomaly detection, and optimization in manufacturing processes. Analyze and optimize energy consumption, quality control, and process parameters in manufacturing using big data analytics and advanced algorithms. Execute hands-on projects such as Engine Degradation Simulation, predictive maintenance Requirements: Basic Understanding of Programming: Familiarity with Python is recommended as the course involves implementing algorithms and data analysis in Python. Knowledge of Basic Statistics and Mathematics: Understanding fundamental statistical concepts and basic linear algebra will help in grasping machine learning and deep learning algorithms. Familiarity with Data Analytics Concepts: Basic knowledge of data analytics and data processing techniques is beneficial. Description: Welcome to "Industry 4.0: Digital Transformation and Smart Manufacturing with Machine Learning and Deep Learning"!In this comprehensive course, you will explore how digital transformation is changing the manufacturing industry. This course is designed for intermediate learners who have a basic understanding of programming and data analytics.Course Highlights:Industry 4.0 Concepts: Gain a deep understanding of the fundamental principles and technologies driving Industry 4.0, including IoT, IIoT, and predictive maintenance.Machine Learning and Deep Learning Applications: Learn to implement advanced machine learning (ML) and deep learning (DL) algorithms to optimize manufacturing processes and improve predictive maintenance.Real-World Projects: Apply your knowledge to real-world projects, such as NASA Turbofan Engine Degradation Simulation and predictive maintenance for wind energy machinery, to gain hands-on experience and practical skills.Data-Driven Manufacturing: Discover how to leverage data analytics and advanced algorithms to improve manufacturing efficiency, quality, and sustainability.What You Will Learn:The core concepts of Industry 4.0 and digital transformation in manufacturing.How to apply machine learning and deep learning techniques to real-world manufacturing problems.Practical skills in optimizing manufacturing processes using data-driven approaches.Hands-on experience through real-world projects and case studies.This course is ideal for engineers, data scientists, manufacturing professionals, students, and tech enthusiasts who are eager to learn about the latest trends and technologies in smart manufacturing. By the end of this course, you will be equipped with the knowledge and skills to drive innovation and efficiency in the industrial sector using advanced Industry 4.0 technologies.Join us and start transforming the future of manufacturing today! Who this course is for: Engineers and Data Scientists: Professionals looking to enhance their skills in Industry 4.0 technologies, including machine learning, deep learning, and big data analytics. Manufacturing and Production Professionals: Individuals working in manufacturing and production who want to implement advanced analytics and optimization techniques in their processes. Students and Academics: Those studying engineering, computer science, or data science who want to gain practical knowledge and hands-on experience in Industry 4.0 projects. Tech Enthusiasts and Innovators: Anyone interested in learning about the latest trends and technologies in smart manufacturing and digital transformation. Homepage [Hidden Content]