Introduction to Artificial Intelligence

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Introduction to Artificial Intelligence

位教师：Robert J. Brunner

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4个模块

深入了解一个主题并学习基础知识。

64 条评论

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2 周在 10 小时一周

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4个模块

深入了解一个主题并学习基础知识。

64 条评论

初级等级

推荐体验

灵活的计划

2 周在 10 小时一周

自行安排学习进度

97%

大多数学生喜欢此课程

您将学到什么

The course develops AI innovation, scalability, and thought leadership, fostering expertise in generative AI, business strategy, and ethics.

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作业

25 任务¹

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授课语言：英语（English）

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该课程共有4个模块

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!

This module offers a comprehensive introduction to AI, encompassing its historical development, fundamental mechanisms, ethical considerations, and regulatory landscapes.

涵盖的内容

18个视频6篇阅读材料7个作业1个讨论话题1个插件

18个视频总计86分钟

Introduction to Artificial Intelligence3分钟
Meet Your Instructor5分钟
The Impact of the Gies Community2分钟
The Intelligence Spectrum4分钟
Origins of AI5分钟
Development of Modern AI5分钟
Anatomy of an Algorithm4分钟
Gallery of Algorithms 6分钟
Introduction to Neural Networks6分钟
What Is Data?5分钟
Data Preprocessing and Transformation5分钟
Finding Data4分钟
Ethical Concerns of AI6分钟
Techniques to Mitigate Bias in AI5分钟
Cultural Issues With AI5分钟
How Can AI Be Regulated?5分钟
The AI Regulatory Landscape5分钟
New Regulatory Opportunities with AI5分钟

6篇阅读材料总计60分钟

Syllabus10分钟
About the Discussion Forums10分钟
Online Education at Gies College of Business10分钟
Updating Your Profile10分钟
Module 1 Overview10分钟
Module 1 Readings10分钟

7个作业总计155分钟

Orientation Quiz5分钟
Lesson Quiz: Origins of AI15分钟
Lesson Quiz: How AI Works30分钟
Lesson Quiz: Importance of Data30分钟
Lesson Quiz: AI Biases and Ethics 15分钟
Lesson Quiz: AI Regulations30分钟
Module Quiz: History and Overview of Artificial Intelligence 30分钟

1个讨论话题总计10分钟

Getting to Know Your Classmates10分钟

1个插件总计15分钟

Welcome! Please Tell Us About Yourself15分钟

This module introduces learners to the foundational techniques of machine learning, focusing on how data-driven models classify, predict, and group information to generate actionable insights. This module provides a comprehensive understanding of three key machine learning approaches—Classification, Regression, and Clustering—and their applications in solving real-world problems.

涵盖的内容

15个视频2篇阅读材料6个作业

15个视频总计92分钟

What Is Classification? 5分钟
Classification Applications6分钟
Key Classification Algorithms 6分钟
What Is Regression?6分钟
Regression Applications7分钟
Key Regression Algorithms6分钟
What Is Clustering?6分钟
Clustering Applications6分钟
Key Clustering Algorithms7分钟
Metrics for Performance Evaluation 6分钟
Pitfalls to Avoid (Overfitting and Underfitting)6分钟
Cross-Validation and Retraining6分钟
The Data-Model-Application Process6分钟
Transition From ML to AI7分钟
Newer AI Models7分钟

2篇阅读材料总计20分钟

Module 2 Overview10分钟
Module 2 Readings10分钟

6个作业总计180分钟

Lesson Quiz: Classification30分钟
Lesson Quiz: Regression30分钟
Lesson Quiz: Clustering30分钟
Lesson Quiz: Evaluation & Selection30分钟
Lesson Quiz: Machine Learning Models30分钟
Module Quiz: Machine Learning Basics30分钟

This module delves into advanced concepts of artificial intelligence, emphasizing how machines can process, interpret, and create complex data. This module introduces learners to the cutting-edge techniques that power today’s AI systems, such as neural networks, deep learning architectures, and generative models.

涵盖的内容

15个视频2篇阅读材料6个作业

15个视频总计88分钟

Understanding Neural Networks5分钟
Convolutional Neural Networks6分钟
Recurrent Neural Networks5分钟
Natural Language Processing6分钟
Computer Vision6分钟
Predictive Analysis6分钟
Overview of Generative Models5分钟
Generative Adversarial Networks6分钟
AI in Creative Industries6分钟
AI in Marketing & Communications 6分钟
AI in Human Resources6分钟
AI in Manufacturing & Sales6分钟
Data Requirements for AI6分钟
Computational Costs of AI6分钟
Model Interpretability6分钟

2篇阅读材料总计20分钟

Module 3 Overview10分钟
Module 3 Readings10分钟

6个作业总计150分钟

Lesson Quiz: Fundamentals of Deep Learning30分钟
Lesson Quiz: Applications of Deep Learning30分钟
Lesson Quiz: Introduction to Generative AI30分钟
Lesson Quiz: Business Applications of Generative AI15分钟
Lesson Quiz: Challenges in Deep Learning15分钟
Module Quiz: Deep Learning and Generative AI30分钟

This module explores the transformative potential and challenges associated with AGI and its evolution toward superintelligence. The module provides learners with insights into the technological, societal, and ethical implications of AI advancements, focusing on preparing for a future shaped by these powerful technologies.

涵盖的内容

17个视频4篇阅读材料6个作业1次同伴评审1个插件

17个视频总计97分钟

Narrow AI, AGI, and Super AI6分钟
Testing for AGI6分钟
Milestones and Potential Timelines for Achieving AGI6分钟
Economic Impacts of Narrow AI, AGI, and Super AI6分钟
Societal Challenges With Narrow AI, AGI, and Super AI6分钟
Ethical Considerations of Narrow AI, AGI, and Super AI6分钟
Application of Narrow AI, AGI, and Super AI on Front Oﬃce7分钟
Application of Narrow AI, AGI, and Super AI on Factories 7分钟
Application of Narrow AI, AGI, and Super AI on Customer Interaction7分钟
Policy and Governance With AGI and Super AI 6分钟
Impact of AGI and Super AI on Education and The Workforce6分钟
Societal Impacts of AGI and Super AI7分钟
Technological Singularity6分钟
Philosophy About Consciousness7分钟
AI Safety and Control Problems7分钟
Course Wrap-Up2分钟
Learn on Your Terms1分钟

4篇阅读材料总计40分钟

Module 4 Information10分钟
Module 4 Readings10分钟
Congratulations on Completing the Course!10分钟
Get Your Course Certificate10分钟

6个作业总计180分钟

Lesson Quiz: The Path to AGI30分钟
Lesson Quiz: Implications of AGI30分钟
Lesson Quiz: Business Applications of AGI30分钟
Lesson Quiz: Preparing for an AI Future30分钟
Lesson Quiz: Limitations and Philosophical Considerations30分钟
Module Quiz: The Future of AI and Artificial Generative Intelligence (AGI)30分钟

1次同伴评审总计60分钟

Peer-Review Assignment: Future of AI60分钟

1个插件总计15分钟

How Was the Course?15分钟

攻读学位

课程是 University of Illinois Urbana-Champaign提供的以下学位课程的一部分。如果您被录取并注册，您已完成的课程可计入您的学位学习，您的学习进度也可随之转移。

位教师

授课教师评分

(25个评价)

Robert J. Brunner

University of Illinois Urbana-Champaign

8 门课程35,001 名学生

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University of Illinois Urbana-Champaign

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学生评论

5 stars
71.87%
4 stars
21.87%
3 stars
1.56%
2 stars
1.56%
1 star
3.12%

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已于 Aug 25, 2025审阅

One of the better introductions to AI, it makes sure to mention people like Pitts and covers more than most others. If you are only going to take just one, I would suggest this one.

已于 Aug 10, 2025审阅

Everything explained in the course is clean and simple for beginners

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