New Age Technologies in Manufacturing

L&T EduTech via Coursera Specialization

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Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Sessions

Self-Paced
Level

Intermediate

Overview

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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.

Syllabus

Course 1: Robotic Control Systems in Manufacturing
Course 2: AI, ML and IIoT in Manufacturing
Course 3: Modern Manufacturing Concepts

Courses

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Explore the technologies driving smart factories with AI, ML and IIoT in Manufacturing. This course provides a practical introduction to the Industrial Internet of Things (IIoT), Artificial Intelligence (AI), Machine Learning (ML), and their applications in robotic manufacturing. Learners will examine IIoT architecture, edge computing, sensor gateways, and the integration of connected systems with industrial robotics. The course also covers AI principles, Edge AI, Cloud AI, and the deployment of deep learning techniques to enhance robotic decision-making and performance. Through expert-led lessons and industry-focused examples, you will gain the knowledge needed to develop intelligent, connected, and efficient manufacturing systems. Learning Objectives By the end of this course, you will be able to: Explain key IIoT concepts, categories, and architecture layers used in smart manufacturing. Describe the role of IIoT, sensor gateways, and edge computing in robotic systems. Understand the fundamentals of AI and ML and their industrial applications. Differentiate between Edge AI and Cloud AI deployment models. Analyze how deep learning enhances robotic automation and decision-making. Apply AI, ML, and IIoT concepts to improve manufacturing efficiency and productivity. Target Learners This course is designed for: Engineering students in Mechanical, Electronics, Electrical, Mechatronics, Robotics, and Manufacturing disciplines. Professionals seeking to upskill in Industry 4.0 and smart manufacturing technologies. Automation, robotics, and IoT practitioners interested in AI-enabled industrial systems. Learners aspiring to build careers in intelligent manufacturing, digital transformation, and industrial automation.
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Modern Manufacturing Concepts introduces learners to the technologies driving smart factories and digital transformation in manufacturing. The course explores electrical drives, microcontroller-based control systems, cyber-physical systems, collaborative robotics, cellular manufacturing, and digital additive manufacturing. Through expert-led instruction and practical industrial examples, learners will understand how intelligent systems integrate the physical and digital worlds to enhance productivity, flexibility, and innovation in modern manufacturing environments. Learning Objectives By the end of this course, learners will be able to: Explain the fundamentals of electrical drives and cyber-physical systems. Apply microcontrollers and Arduino Nano for automation and control applications. Describe the role of robotics and collaborative robots in manufacturing. Understand cellular manufacturing and digital additive manufacturing concepts. Analyze how new-age manufacturing technologies support digital transformation and Industry 4.0 initiatives. Target Learners Engineering students in Mechanical, Electrical, Electronics, Mechatronics, and Manufacturing disciplines. Professionals seeking to upskill in automation, robotics, and digital manufacturing. Industry practitioners interested in Industry 4.0 and smart factory technologies. Learners aspiring to careers in advanced manufacturing and industrial innovation.
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Launch your journey into next-generation manufacturing with Robotic Control Systems in Manufacturing, the first course in L&T EduTech’s New Age Technologies in Manufacturing specialization. This course introduces the fundamentals of robotic control systems used in modern industries, with a strong focus on AVR microcontrollers and Espressif (ESP) modules. Learners will explore microcontroller architecture, hardware setup, programming, and interfacing techniques to build intelligent robotic solutions. The course also demonstrates how ESP technologies enable energy monitoring, industrial automation, robot movement, and object recognition. Through expert-led video lessons and practical industry applications, you will gain the skills needed to design, program, and deploy robotic control systems in smart manufacturing environments. By the end of this course, you will be able to: Explain the role of robotic control systems in modern manufacturing. Configure and program AVR microcontrollers using appropriate hardware and IDE tools. Interface sensors, actuators, and peripheral devices with AVR-based systems. Apply ESP modules for energy monitoring and industrial automation applications. Implement robotic movement and object recognition functionalities using ESP technologies. Develop foundational skills for designing intelligent robotic solutions in manufacturing. Target Learners: This course is designed for: Undergraduate and diploma students in Mechanical, Electrical, Electronics, Mechatronics, and Manufacturing Engineering. Aspiring robotics and automation professionals. Industry practitioners seeking to upskill in industrial robotics and control systems. Learners interested in smart manufacturing, Industry 4.0, and emerging automation technologies.