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Introduction to Artificial Intelligence · LearnSpace
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Introduction to Artificial Intelligence

Курс от University of Illinois Urbana-Champaign
Начальный≈ 21.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Artificial Intelligence is revolutionizing industries, reshaping business strategies, and transforming the way we work. Are you ready to understand AI’s potential and harness its power? In this engaging online course, you’ll dive into the fundamentals of AI, from its historical roots to cutting-edge innovations in machine learning, deep learning, and generative AI. Through real-world applications and expert insights, you’ll discover how AI models work, how businesses are leveraging AI, and what the future holds for Artificial General Intelligence (AGI). But AI isn’t just about technology—it’s about impact. That’s why this course also explores the ethical challenges, regulatory considerations, and societal implications of AI. By the end, you’ll gain the critical knowledge needed to confidently navigate the evolving AI landscape. Whether you’re a business professional, entrepreneur, or tech enthusiast, this course is designed to equip you with practical insights and a strong foundation in AI. Join us today and take the first step toward mastering the future of AI!

Навыки, которые вы освоите

Artificial Neural NetworksRegression AnalysisArtificial IntelligenceGenerative Adversarial Networks (GANs)Classification AlgorithmsConvolutional Neural NetworksRegulation and Legal ComplianceDeep LearningMachine Learning AlgorithmsData EthicsResponsible AIMachine Learning MethodsAI literacyGenerative Model ArchitecturesLaw, Regulation, and ComplianceGenerative AIMachine Learning

Программа курса

4 модулей · 108 учебных материалов

01Module 1: History and Overview of Artificial Intelligence33 материалов

Orientation

Introduction to Artificial IntelligenceВидеоMeet Your InstructorВидеоSyllabusЧтениеAbout the Discussion ForumsЧтение

Учитесь у экспертов

Robert J. Brunner

Professor of Accountancy, Chief Disruption Officer, and Arthur Andersen Faculty Fellow

Introduction to Artificial Intelligence
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 21.1 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Узбекский, Итальянский, Бразильский португальский, Корейский, Немецкий, Пушту, Индонезийский, Испанский, Дари, Японский, Казахский, Венгерский

Часть программы вашего университета
Orientation QuizЗадание
Online Education at Gies College of BusinessЧтение
The Impact of the Gies CommunityВидео
Welcome! Please Tell Us About YourselfPLUGIN

About Your Classmates

Getting to Know Your ClassmatesОбсуждениеUpdating Your ProfileЧтение

Module 1 Information

Module 1 OverviewЧтениеModule 1 ReadingsЧтение

Lesson 1: Origins of AI

The Intelligence SpectrumВидеоOrigins of AIВидеоDevelopment of Modern AIВидеоLesson Quiz: Origins of AIЗадание

Lesson 2: How AI Works

Anatomy of an AlgorithmВидеоGallery of Algorithms ВидеоIntroduction to Neural NetworksВидеоLesson Quiz: How AI WorksЗадание

Lesson 3: Importance of Data

What Is Data?ВидеоData Preprocessing and TransformationВидеоFinding DataВидеоLesson Quiz: Importance of DataЗадание

Lesson 4: AI Biases and Ethics

Ethical Concerns of AIВидеоTechniques to Mitigate Bias in AIВидеоCultural Issues With AIВидеоLesson Quiz: AI Biases and Ethics Задание

Lesson 5: AI Regulations

How Can AI Be Regulated?ВидеоThe AI Regulatory LandscapeВидеоNew Regulatory Opportunities with AIВидеоLesson Quiz: AI RegulationsЗадание

Module 1 Graded Activities

Module Quiz: History and Overview of Artificial Intelligence Задание
02Module 2: Machine Learning Basics23 материалов

Module 2 Information

Module 2 OverviewЧтениеModule 2 ReadingsЧтение

Lesson 1: Classification

What Is Classification? ВидеоClassification ApplicationsВидеоKey Classification Algorithms ВидеоLesson Quiz: ClassificationЗадание

Lesson 2: Regression

What Is Regression?ВидеоRegression ApplicationsВидеоKey Regression AlgorithmsВидеоLesson Quiz: RegressionЗадание

Lesson 3: Clustering

What Is Clustering?ВидеоClustering ApplicationsВидеоKey Clustering AlgorithmsВидеоLesson Quiz: ClusteringЗадание

Lesson 4: Evaluation & Selection

Metrics for Performance Evaluation ВидеоPitfalls to Avoid (Overfitting and Underfitting)ВидеоCross-Validation and RetrainingВидеоLesson Quiz: Evaluation & SelectionЗадание

Lesson 5: Machine Learning Models

The Data-Model-Application ProcessВидеоTransition From ML to AIВидеоNewer AI ModelsВидеоLesson Quiz: Machine Learning ModelsЗадание

Module 2 Graded Activities

Module Quiz: Machine Learning BasicsЗадание
03Module 3: Deep Learning and Generative AI23 материалов

Module 3 Information

Module 3 OverviewЧтениеModule 3 ReadingsЧтение

Lesson 1: Fundamentals of Deep Learning

Understanding Neural NetworksВидеоConvolutional Neural NetworksВидеоRecurrent Neural NetworksВидеоLesson Quiz: Fundamentals of Deep LearningЗадание

Lesson 2: Applications of Deep Learning

Natural Language ProcessingВидеоComputer VisionВидеоPredictive AnalysisВидеоLesson Quiz: Applications of Deep LearningЗадание

Lesson 3: Introduction to Generative AI

Overview of Generative ModelsВидеоGenerative Adversarial NetworksВидеоAI in Creative IndustriesВидеоLesson Quiz: Introduction to Generative AIЗадание

Lesson 4: Business Applications of Generative AI

AI in Marketing & Communications ВидеоAI in Human ResourcesВидеоAI in Manufacturing & SalesВидеоLesson Quiz: Business Applications of Generative AIЗадание

Lesson 5: Challenges in Deep Learning

Data Requirements for AIВидеоComputational Costs of AIВидеоModel InterpretabilityВидеоLesson Quiz: Challenges in Deep LearningЗадание

Module 3 Graded Activities

Module Quiz: Deep Learning and Generative AIЗадание
04Module 4: The Future of AI and Artificial General Intelligence (AGI)29 материалов

Module 4 Information

Module 4 InformationЧтениеModule 4 ReadingsЧтение

Lesson 1: The Path to AGI

Narrow AI, AGI, and Super AIВидеоTesting for AGIВидеоMilestones and Potential Timelines for Achieving AGIВидеоLesson Quiz: The Path to AGIЗадание

Lesson 2: Implications of AGI

Economic Impacts of Narrow AI, AGI, and Super AIВидеоSocietal Challenges With Narrow AI, AGI, and Super AIВидеоEthical Considerations of Narrow AI, AGI, and Super AIВидеоLesson Quiz: Implications of AGIЗадание

Lesson 3: Business Applications of AGI

Application of Narrow AI, AGI, and Super AI on Front OfficeВидеоApplication of Narrow AI, AGI, and Super AI on Factories ВидеоApplication of Narrow AI, AGI, and Super AI on Customer InteractionВидеоLesson Quiz: Business Applications of AGIЗадание

Lesson 4: Preparing for an AI Future

Policy and Governance With AGI and Super AI ВидеоImpact of AGI and Super AI on Education and The WorkforceВидеоSocietal Impacts of AGI and Super AIВидеоLesson Quiz: Preparing for an AI FutureЗадание

Lesson 5: Limitations and Philosophical Considerations

Technological SingularityВидеоPhilosophy About ConsciousnessВидеоAI Safety and Control ProblemsВидеоLesson Quiz: Limitations and Philosophical ConsiderationsЗадание

Module 4 Graded Activities

Module Quiz: The Future of AI and Artificial Generative Intelligence (AGI)ЗаданиеPeer-Review Assignment: Future of AIВзаимная проверка

Course Conclusion

Course Wrap-UpВидеоCongratulations on Completing the Course!ЧтениеGet Your Course CertificateЧтениеLearn on Your TermsВидеоHow Was the Course?PLUGIN