AI, ML and IIoT in Manufacturing

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AI, ML and IIoT in Manufacturing

Ce cours fait partie de Spécialisation "New Age Technologies in Manufacturing"

Instructeur : Subject Matter Expert

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2 modules

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niveau Intermédiaire

Expérience recommandée

7 heures à compléter

Planning flexible

Apprenez à votre propre rythme

2 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

7 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

Understand IIoT architectures, sensor gateways, and edge computing in smart manufacturing.
Apply AI, ML, and deep learning techniques to enhance robotic automation.
Build intelligent, connected manufacturing solutions to improve efficiency and productivity.

Compétences que vous acquerrez

Catégorie : Reinforcement Learning
Catégorie : Communication Systems
Catégorie : Wireless Networks
Catégorie : Systems Architecture
Catégorie : Real Time Data

Détails à connaître

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Récemment mis à jour !

juillet 2026

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2 devoirs

Enseigné en Anglais

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Ce cours fait partie de la Spécialisation "New Age Technologies in Manufacturing"

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Il y a 2 modules dans ce cours

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.

This module, IIoT in Robotic Manufacturing introduces the role of the Industrial Internet of Things (IIoT) in creating intelligent, connected, and data-driven manufacturing systems. The module covers IoT categories, IIoT architecture, and the functions of sensing, communication, data processing, and application layers. It explores computing infrastructures such as on-premise servers, cloud platforms, and edge computing for real-time decision-making. Learners study IIoT gateways, their role in data aggregation and protocol translation, and communication technologies including WAN and short-range wireless protocols. The module also introduces IoT-based video analytics for quality control and presents industrial case studies in packaging, bottle manufacturing, aluminium extrusion, fastener production, excavator monitoring, metal stamping, and air compressor monitoring. Overall, it provides the foundational knowledge required to understand and implement connected robotic systems in smart manufacturing environments.

Inclus

27 vidéos1 devoir

27 vidéosTotal 164 minutes

About the Specialization3 minutes
About the Course3 minutes
Categories of IOT7 minutes
Functions of IIoT Architecture Layer - Part 16 minutes
Functions of IIoT Architecture Layer - Part 26 minutes
Layers of IIoT Architecture9 minutes
Introduction to On-Premise Servers and Cloud 6 minutes
Edge Computing: Part 17 minutes
Edge Computing: Part 25 minutes
Edge Computing: Part 37 minutes
Edge Computing: Part 46 minutes
Gateway Overview6 minutes
Types of Gateway6 minutes
Selecting a Gateway3 minutes
IoT Video Analytics and Quality Control at the Edge6 minutes
Wireless Long Range (WAN) Protocols8 minutes
Wireless Short-Range Protocols - Part 16 minutes
Wireless Short Range Protocols - Part 27 minutes
Packaging Industry5 minutes
Bottle Manufacturing 3 minutes
Aluminium Extrussions 4 minutes
Fasteners-Production Monitoring - Part 15 minutes
Fasteners-Production Monitoring - Part 29 minutes
Bucket Wheel Excavator Monitoring 7 minutes
Metal Stampings 10 minutes
Air Compressor Monitoring - Introduction11 minutes
Air Compressor Monitoring - IIoT Application3 minutes

1 devoirTotal 30 minutes

Assessment on IIoT in Robotic Manufacturing30 minutes

This Module AI & ML in Robotic Manufacturing introduces the application of Artificial Intelligence (AI) and Machine Learning (ML) in creating intelligent, adaptive, and data-driven manufacturing systems. The module covers AI and ML fundamentals, supervised and unsupervised learning, model training, and evaluation, along with industrial applications such as predictive maintenance, defect detection, process optimization, and robotic control. Learners explore Edge AI, Cloud AI, and Python programming, including TensorFlow, Scikit-learn, and MicroPython for embedded AI applications. Advanced topics include deep learning, big data, self-driving car case studies, collaborative robots (cobots), and Deep Q-Learning for pick-and-place robots. Overall, the module provides the knowledge and practical skills needed to develop intelligent robotic systems for smart and autonomous manufacturing environments.

Inclus

25 vidéos1 devoir1 plugin

25 vidéosTotal 169 minutes

Artificial Intelligence Principles and Products - Part 18 minutes
Artificial Intelligence Principles and Products - Part 28 minutes
Machine Learning Fundamentals and Principles - Part 18 minutes
Machine Learning Fundamentals and Principles - Part 24 minutes
Applications of ML in Manufacturing and Production Industries - Part 17 minutes
Applications of ML in Manufacturing and Production Industries - Part 24 minutes
Edge AI and Cloud AI - Part 18 minutes
Edge AI and Cloud AI - Part 25 minutes
Case Study on Edge AI Practices in Industrial Applications - Part 18 minutes
Case Study on Edge AI Practices in Industrial Applications - Part 29 minutes
Introduction to Python8 minutes
Python Internals8 minutes
Programming Essentials in Python - Part I7 minutes
Programming Essentials in Python - Part 2A6 minutes
Programming Essentials in Python - Part 2B8 minutes
Demo Programms in Python - Beginners Perspective 5 minutes
Machine Learning Libraries and Functions in Python - Part 19 minutes
Machine Learning Libraries and Functions in Python - Part 25 minutes
Working with Micropython—An Overview - Part 16 minutes
Working with Micropython—An Overview - Part 26 minutes
Future of COBOT- An application of ML in OIL and Gas Industry8 minutes
Big Data in the Context of Machine Learning - Part 15 minutes
Big Data in the Context of Machine Learning - Part 25 minutes
Deployment of Deep Q- Learning in Pick and Place Cobot-An Industrial Application of ML - Part 16 minutes
Deployment of Deep Q- Learning in Pick and Place Cobot-An Industrial Application of ML - Part 27 minutes

1 devoirTotal 30 minutes

Assessment on AI & ML in Robotic Manufacturing30 minutes

1 pluginTotal 15 minutes

Python in Deep Learning for Self-Driving Cars- A Case Study appraoch15 minutes

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Instructeur

Subject Matter Expert

L&T EduTech

160 Cours262 465 apprenants

Offert par

L&T EduTech

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