AI, ML and IIoT in Manufacturing

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues.

AI, ML and IIoT in Manufacturing

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

Instructeur : Subject Matter Expert

Inclus avec En savoir plus

Demander à Coursera

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

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

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

juillet 2026

Évaluations

2 devoirs

Enseigné en Anglais

Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées

En savoir plus sur Coursera pour les affaires

logos de Petrobras, TATA, Danone, Capgemini, P&G et L'Oreal

Élaborez votre expertise du sujet

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

Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à cette Spécialisation.

Apprenez de nouveaux concepts auprès d'experts du secteur
Acquérez une compréhension de base d'un sujet ou d'un outil
Développez des compétences professionnelles avec des projets pratiques
Obtenez un certificat professionnel partageable

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

Obtenez un certificat professionnel

Ajoutez ce titre à votre profil LinkedIn, à votre curriculum vitae ou à votre CV. Partagez-le sur les médias sociaux et dans votre évaluation des performances.

Instructeur

Subject Matter Expert

L&T EduTech

139 Cours243 702 apprenants

Offert par

L&T EduTech

En savoir plus sur Mechanical Engineering

Statut : Essai gratuit
University of Michigan
Industrial Internet of Things (IIoT)
Cours
L&T EduTech
New Age Technologies in Manufacturing
Spécialisation
Statut : Essai gratuit
Board Infinity
Key Industry 4.0 Technologies in Manufacturing - 2
Cours
Statut : Essai gratuit
L&T EduTech
Applied Industrial Internet of Things
Cours

Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?

Felipe M.

Étudiant(e) depuis 2018

’Pouvoir suivre des cours à mon rythme à été une expérience extraordinaire. Je peux apprendre chaque fois que mon emploi du temps me le permet et en fonction de mon humeur.’

Jennifer J.

Étudiant(e) depuis 2020

’J'ai directement appliqué les concepts et les compétences que j'ai appris de mes cours à un nouveau projet passionnant au travail.’

Larry W.

Étudiant(e) depuis 2021

’Lorsque j'ai besoin de cours sur des sujets que mon université ne propose pas, Coursera est l'un des meilleurs endroits où se rendre.’

Chaitanya A.

’Apprendre, ce n'est pas seulement s'améliorer dans son travail : c'est bien plus que cela. Coursera me permet d'apprendre sans limites.’

Débloquez l'accès à plus de 10 000 cours grâce à un abonnement
Faites progresser votre carrière avec un diplôme en ligne
Obtenez un diplôme auprès d’universités de renommée mondiale - 100 % en ligne
Rejoignez les 4 700 entreprises internationales qui ont choisi Coursera for Business.

Foire Aux Questions

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.