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Industrial Applications of AI · LearnSpace
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courseraIT и технологии

Industrial Applications of AI

Курс от L&T EduTech
Средний≈ 16.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

The course Embarks on a transformative learning journey exploring the power of Artificial Intelligence across diverse fields such as electrical, mechanical, civil, and general applications. This course elevates the learner’s insight on AI towards the real-world practices by bridging the gap between theory and practical applications. It also provides hands-on experience of applying AI algorithms into potential applications. The examples of AI in healthcare provided in the course will enlighten the learners with an end-to-end perspective of real-world solutions. This course is crafted to introduce key AI principles required for challenging real-time applications of electrical engineering like load predictions and fault diagnosis in substations. The course also covers the application of AI in mechanical engineering, encompassing seismic data processing, geo-modelling, and reservoir engineering. The civil engineering learners will learn about AI's role in cloud data collection at construction sites and its applications in transport engineering and road traffic prediction. Immerse yourself in the future of AI with a focus on Machine and Deep learning operations, gaining insights that enable you to distinguish and apply AI based solutions to real-world challenges. Explore hands-on exercises with software support, gaining a comprehensive understanding of AI metrics. Enhance your skills and broaden your horizons with the power of AI.

Навыки, которые вы освоите

Machine Learning AlgorithmsConvolutional Neural NetworksApplied Machine LearningMachine LearningComputer VisionImage AnalysisTensorflowElectrical SubstationConstruction EngineeringMachine Learning SoftwareCivil EngineeringClassification AlgorithmsArtificial Neural NetworksAI EnablementPyTorch (Machine Learning Library)Deep LearningAI literacyElectric Power SystemsArtificial IntelligenceElectrical Engineering

Программа курса

5 модулей · 109 учебных материалов

01Real-time Applications of ML - A Structured Approach and Demos24 материалов

Welcome to the Course

About the SpecializationВидеоAbout the CourseВидеоCourse ReadingЧтениеCourse GlossaryЧтение

Real-time Applications of ML - A Structured Approach and Demos

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L&T Edutech

Industrial Applications of AI
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 16.3 ч

5 модулей

Язык: Английский

Субтитры: Арабский, Французский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Нидерландский, Корейский, Немецкий, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
Machine Learning(ML) Fundamentals and Principles - PART IВидео
Machine Learning(ML) Fundamentals and Principles - PART IIВидео
Automated Vehicle Support using ML - PART IВидео
Automated Vehicle Support using ML - PART IIВидео
Fraud System Diagnosis using ML - PART IВидео
Fraud System Diagnosis using ML - PART IIВидео
Deep Learning-based Shop Floor Management - PART IВидео
Deep Learning-based Shop Floor Management - PART IIВидео
Neural Networks-based Ground Water Quality Distribution AnalysisВидео
Potential Applications of AI in Healthcare - Discussion - PART IВидео
Potential Applications of AI in Healthcare - Discussion - PART IIВидео
Image Classification in IoT Devices - Case Study - PART IВидео
Image Classification in IoT Devices - Case Study - PART IIВидео
Remotely Piloted Aircraft - Case Study - PART IВидео
Remotely Piloted Aircraft - Case Study - PART IIВидео
AI Products - A surveyВидео
Education Quality updates in Design, Development and Delivery using ML - PART IВидео
Education Quality updates in Design, Development and Delivery using ML - PART IIВидео
Statement: Considering the significant role that AI now plays in various aspects of our world and its increasing importance in different professions, there are new job roles coming up for the human. In contradiction, the International Monetary Fund (IMF) states, 'AI likely to worsen economic inequality' How do you envision the integration of Artificial Intelligence impacting the future of human? Drop your opinionОбсуждение

Assessment on Real-time Applications of ML - A Structured Approach and Demos

Assessment on Real-time Applications of ML - A Structured Approach and DemosЗадание
02ML Algorithms and Scope for Edge Computing in Electrical Engineering Applications23 материалов

ML Algorithms and Scope for Edge Computing in Electrical Engineering Applications

ANN Architecture for Substations - PART IВидеоANN Architecture for Substations - PART IIВидеоANN Architecture for Substations - PART IIIВидеоLoad Prediction in Substations - A Case Study - PART IВидеоLoad Prediction in Substations - A Case Study - PART IIВидеоGeo-spatial Database for Power Infrastructure - PART IВидеоGeo-spatial Database for Power Infrastructure - PART IIВидеоGeo-spatial Database for Power Infrastructure - PART IIIВидеоFeature Extraction of Substation using Deep Learning - A Case study - PART IВидеоFeature Extraction of Substation using Deep Learning - A Case study - PART IIВидеоFeature Extraction of Substation using Deep Learning - A Case study - PART IIIВидеоPower Grid Stability and Secondary Substation Model - PART IВидеоPower Grid Stability and Secondary Substation Model - PART IIВидеоPower Grid Stability and Secondary Substation Model - PART IIIВидеоEstimation of Unknown Secondary Substation Profile - A Case StudyВидеоCharacterization of Substation Site Features - Practisioner ApproachВидеоCNN-based Preliminary Siting of Substation - A Case StudyВидеоSubstation Device Diagnosis using Unsupervised ML Algorithm - PART IВидеоSubstation Device Diagnosis using Unsupervised ML Algorithm - PART IIВидеоCNN-based Infrared Fault Image Diagnosis - A Case Study - PART IВидеоCNN-based Infrared Fault Image Diagnosis - A Case Study - PART IIВидеоCNN-based Infrared Fault Image Diagnosis - A Case Study - PART IIIВидео

Assessment on ML Algorithms and Scope for Edge Computing in Electrical Engineering Applications

Assessment on ML Algorithms and Scope for Edge Computing in Electrical Engineering ApplicationsЗадание
03ML Algorithms and Scope for Edge Computing in Mechanical Engineering Applications19 материалов

ML Algorithms and Scope for Edge Computing in Mechanical Engineering Applications

Impact of ML in O&G Industry - A Review - PART IВидеоImpact of ML in O&G Industry - A Review - PART IIВидеоSeismic Data Processing Techniques(Salt Body Delienation) - PART IВидеоSeismic Data Processing Techniques(Salt Body Delienation) - PART IIВидеоGeomodeling ProcessВидеоML in Reservoir Engineering(Reservoir Rock Classification) - PART IВидеоML in Reservoir Engineering(Reservoir Rock Classification) - PART IIВидеоOptimal Production Engineering in O&G Industry - PART IВидеоOptimal Production Engineering in O&G Industry - PART IIВидеоAI in Upstream Sector of O&G Industry - PART IВидеоAI in Upstream Sector of O&G Industry - PART IIВидеоAdvances in AI Technology for O&G Industry - PART IВидеоAdvances in AI Technology for O&G Industry - PART IIВидеоFundamentals of Data Handling in O&G Industry - PART IВидеоFundamentals of Data Handling in O&G Industry - PART IIВидеоFundamentals of Data Handling in O&G Industry - PART IIIВидеоSOA of Big Data for O&G Industry - PART IВидеоSOA of Big Data for O&G Industry - PART IIВидео

Assessment on ML Algorithms and Scope for Edge Computing in Mechanical Engineering Applications

Assessment on ML Algorithms and Scope for Edge Computing in Mechanical Engineering ApplicationsЗадание
04ML Algorithms and Scope for Edge Computing in Civil Engineering Applications23 материалов

ML Algorithms and Scope for Edge Computing in Civil Engineering Applications

ML for Civil Engineering - PART IВидеоML for Civil Engineering - PART IIВидеоML for Civil Engineering - PART IIIВидеоML for Civil Engineering - PART IVВидеоCloud Data collection about the Construction SiteВидеоGeneric ML Modelling Framework for Civil Engineering Applications - PART IВидеоGeneric ML Modelling Framework for Civil Engineering Applications - PART IIВидеоGeneric ML Modelling Framework for Civil Engineering Applications - PART IIIВидеоDeep Learning Techniques in Construction Industry - PART IВидеоDeep Learning Techniques in Construction Industry - PART IIВидеоML Approach for Construction Management - PART IВидеоML Approach for Construction Management - PART IIВидеоCNN Based Planetary Lego Brick - PART IВидеоCNN Based Planetary Lego Brick - PART IIВидеоCNN Based Planetary Lego Brick - PART IIIВидеоAI in Transport Engineering - A SurveyВидеоRoad Traffic Prediction - Bayesian ApproachВидеоML for Naval Architecture - PART IВидеоML for Naval Architecture - PART IIВидеоML for Naval Architecture - PART IIIВидеоML for Naval Architecture - PART IVВидеоAI Based Wave Height Forecasting - A Case StudyВидео

Assessment on ML Algorithms and Scope for Edge Computing in Civil Engineering Applications

Assessment on ML Algorithms and Scope for Edge Computing in Civil Engineering ApplicationsЗадание
05ML algorithms and Scope for Edge Computing in Future 20 материалов

ML algorithms and Scope for Edge Computing in Future

AI Impacts in Education - PART IВидеоAI Impacts in Education - PART IIВидеоAI Open Source Software Libraries - PART IВидеоComputer Vision (Image and PDF) - PART IВидеоComputer Vision (Image and PDF) - PART IIВидеоComputer Vision (Image and PDF) - PART IIIВидеоComputer Vision (Image and PDF) - PART IVВидеоLanguage and Language Reasoning - PART IВидеоLanguage and Language Reasoning - PART IIВидеоSpeech Recognition - PART IВидеоSpeech Recognition - PART IIВидеоHealthcare and Biology - PART IВидеоHealthcare and Biology - PART IIВидеоEthical Challenges in AI - PART IВидеоEthical Challenges in AI - PART IIВидеоEconomy Implications due to AI - PART IВидеоEconomy Implications due to AI - PART IIВидеоEconomy Implications due to AI - PART IIIВидеоPolicies and Strategies for AIВидео

Assessment on ML algorithms and Scope for Edge Computing in Future

Assessment on ML algorithms and Scope for Edge Computing in Future Задание