New Age Technologies in Manufacturing Specialization | CourseraReleased 7/2026
By Subject Matter Expert
MP4 |
Video: h264, 1280x720 |
Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning |
Language: English + subtitle |
Duration: 126 Lessons ( 14h 19m ) |
Size: 6.4 GB
⚡ Apply Industry 4.0 Technologies in Manufacturing by understanding embedded systems, IoT, IIoT, robotics, AI, ML, and their role in smart factories.
⚡ Apply IIoT, AI, and ML for industrial automation and data-driven decisions.
⚡ Retrofit conventional machines with smart connectivity and monitoring solutions.
Skills you'll gain? Wireless Networks
? Electronics
? Machine Controls
? Computer Architecture
? Internet Of Things
? Embedded Systems
? Electronic Components
? Machine Learning
? Product Automation
? Peripheral Devices
? Reinforcement Learning
? Industrial Engineering
? Robotics
? Control Systems
? Manufacturing and Production
? Robotic Process Automation
? Electronic Systems
? Artificial Intelligence and Machine Learning (AI/ML)
? Automation Engineering
? Automation
? Show all
New Age Technologies in Manufacturing provides a comprehensive introduction to Industry 4.0 technologies, covering embedded systems, IoT, robotics, Industrial IoT (IIoT), artificial intelligence, machine learning, Python programming, PLCs, and smart manufacturing practices. Through hands-on projects and real-world industrial use cases-including energy monitoring, HVAC optimization, predictive maintenance, and robotic automation-learners gain practical insights into designing and implementing intelligent manufacturing solutions.
By the end of the course, learners will be able to apply emerging technologies to solve manufacturing challenges, develop connected and automated systems, analyze industrial data, and understand the role of AI, IoT, and robotics in driving operational efficiency and innovation. The course brings industry-aligned expertise and applications to prepare learners for careers in advanced manufacturing and digital transformation.
Applied Learning Project
Learners will gain a comprehensive understanding of digitalization concepts and their application in manufacturing industries. The specialization equips them with the skills to retrofit conventional machinery with modern digital technologies, enabling seamless machine-to-machine connectivity. They will also learn to leverage Industrial Internet of Things (IIoT) solutions for efficient data acquisition, monitoring, and analysis, driving improved operational efficiency, productivity, and informed decision-making.
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