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AI for Design and Optimization · LearnSpace
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AI for Design and Optimization

Курс от University of Michigan
Средний≈ 10.2 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Artificial intelligence and machine learning are revolutionizing design processes, optimizing strategies, and fostering innovation across industries. "AI for Design and Optimization” offers you the knowledge to harness the power of AI to enhance your own design and optimization capabilities. Mastering key skills such as discerning appropriate AI applications, interpreting model outputs, staying abreast of AI advancements, and effectively communicating the role of AI in projects is essential to effectively leverage these technologies in your practices. You will delve into the fundamentals of AI and their practical application in design and optimization, exploring advanced techniques like generative design, evolutionary algorithms, and topology optimization. This unique curriculum provides a comprehensive introduction to utilizing AI to enhance design creativity and streamline processes.

Навыки, которые вы освоите

Artificial IntelligenceArtificial Intelligence and Machine Learning (AI/ML)Generative AIAI WorkflowsMachine Learning MethodsMachine LearningAI powered creativityModel OptimizationAI literacyAI Enablement

Программа курса

3 модулей · 33 учебных материалов

01Introduction to Key Concepts and Fundamentals of Artificial Intelligence (AI) and Machine Learning (ML)13 материалов

Foundations of AI and ML

Introduction to Key ConceptsВидеоCourse SyllabusЧтениеHelp Us Learn About You!ЧтениеIntroduction to Jupyter Labs on CourseraЧтение

Basic AI and ML Algorithms

Учитесь у экспертов

Wei Lu

Charles M Vest Collegiate Professor of Engineering and Associate Chair of Mechanical Engineering

AI for Design and Optimization
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 10.2 ч

3 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Индонезийский, Азербайджанский, Испанский, Японский, Казахский, Венгерский

Часть программы вашего университета
Machine Learning AlgorithmsВидео
Deep Learning and Neural NetworkВидео
K-Nearest Neighbors ImplementationЧтение
K-Nearest Neighbor - Programming ExerciseЛабораторная
DNN ImplementationЧтение
Neural Networks - Programming ExerciseЛабораторная

Applications in Design and Optimization

Introduction of AI/ML in Design and OptimizationВидеоOverfitting and Underfitting of MLЧтениеModule 1 AssignmentЗадание
02Generative Design Techniques6 материалов

Introduction to Generative Design

Generative Design PrinciplesВидео

Generative Design Algorithms and Techniques

Introduction to Algorithms and TechniquesВидео

Advanced Topics in Generative Design

Generative Adversarial NetworksВидеоGAN in Pytorch ImplementationЧтениеGenerative Adversarial Networks- Programming ExerciseЛабораторнаяModule 2 AssignmentЗадание
03AI-Driven Optimization Algorithms14 материалов

Overview of Optimization Problems

Overview of Optimization ProblemsВидео

Optimization Algorithms

Introduction to Optimization AlgorithmsВидеоCase Studies: Thermal Insulation OptimizationЧтениеThermal Insulation OptimizationЧтениеThermal Insulation Optimization - Programming ExerciseЛабораторная

Self-Directed Online Machine Learning for Topology Optimization

Introduction of Topology OptimizationВидеоML for Topology OptimizationВидеоCase StudiesВидеоCase Studies: Battery Fast-Charging OptimizationЧтениеBattery Fast-Charging Optimization ImplementationЧтениеBattery Charging Optimization - Programming ExerciseЛабораторнаяModule 3 AssignmentЗаданиеEnd of Course SurveyЧтениеReferencesЧтение