Introduction to Artificial Intelligence
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Introduction to Artificial Intelligence
This course is part of AI Foundations for Executive Decision-Making Specialization
Instructor: Robert J. Brunner
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What you'll learn
The course develops AI innovation, scalability, and thought leadership, fostering expertise in generative AI, business strategy, and ethics.
Skills you'll gain
- Responsible AI
- Data Ethics
- AI literacy
- Artificial Intelligence and Machine Learning (AI/ML)
- Convolutional Neural Networks
- Applied Machine Learning
- Artificial Intelligence
- AI Enablement
- Deep Learning
- Regression Analysis
- Generative Model Architectures
- Machine Learning Algorithms
- Artificial Neural Networks
- AI Product Strategy
- Machine Learning
- Machine Learning Methods
- Law, Regulation, and Compliance
- Statistical Machine Learning
Tools you'll learn
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- Earn a shareable career certificate
There are 4 modules in this course
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.
What's included
18 videos6 readings7 assignments1 discussion prompt1 plugin
18 videos•Total 86 minutes
- Introduction to Artificial Intelligence•3 minutes
- Meet Your Instructor•5 minutes
- The Impact of the Gies Community•2 minutes
- The Intelligence Spectrum•4 minutes
- Origins of AI•5 minutes
- Development of Modern AI•5 minutes
- Anatomy of an Algorithm•4 minutes
- Gallery of Algorithms •6 minutes
- Introduction to Neural Networks•6 minutes
- What Is Data?•5 minutes
- Data Preprocessing and Transformation•5 minutes
- Finding Data•4 minutes
- Ethical Concerns of AI•6 minutes
- Techniques to Mitigate Bias in AI•5 minutes
- Cultural Issues With AI•5 minutes
- How Can AI Be Regulated?•5 minutes
- The AI Regulatory Landscape•5 minutes
- New Regulatory Opportunities with AI•5 minutes
6 readings•Total 60 minutes
- Syllabus•10 minutes
- About the Discussion Forums•10 minutes
- Online Education at Gies College of Business•10 minutes
- Updating Your Profile•10 minutes
- Module 1 Overview•10 minutes
- Module 1 Readings•10 minutes
7 assignments•Total 155 minutes
- Module Quiz: History and Overview of Artificial Intelligence •30 minutes
- Orientation Quiz•5 minutes
- Lesson Quiz: Origins of AI•15 minutes
- Lesson Quiz: How AI Works•30 minutes
- Lesson Quiz: Importance of Data•30 minutes
- Lesson Quiz: AI Biases and Ethics •15 minutes
- Lesson Quiz: AI Regulations•30 minutes
1 discussion prompt•Total 10 minutes
- Getting to Know Your Classmates•10 minutes
1 plugin•Total 15 minutes
- Welcome! Please Tell Us About Yourself•15 minutes
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.
What's included
15 videos2 readings6 assignments
15 videos•Total 92 minutes
- What Is Classification? •5 minutes
- Classification Applications•6 minutes
- Key Classification Algorithms •6 minutes
- What Is Regression?•6 minutes
- Regression Applications•7 minutes
- Key Regression Algorithms•6 minutes
- What Is Clustering?•6 minutes
- Clustering Applications•6 minutes
- Key Clustering Algorithms•7 minutes
- Metrics for Performance Evaluation •6 minutes
- Pitfalls to Avoid (Overfitting and Underfitting)•6 minutes
- Cross-Validation and Retraining•6 minutes
- The Data-Model-Application Process•6 minutes
- Transition From ML to AI•7 minutes
- Newer AI Models•7 minutes
2 readings•Total 20 minutes
- Module 2 Overview•10 minutes
- Module 2 Readings•10 minutes
6 assignments•Total 180 minutes
- Module Quiz: Machine Learning Basics•30 minutes
- Lesson Quiz: Classification•30 minutes
- Lesson Quiz: Regression•30 minutes
- Lesson Quiz: Clustering•30 minutes
- Lesson Quiz: Evaluation & Selection•30 minutes
- Lesson Quiz: Machine Learning Models•30 minutes
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.
What's included
15 videos2 readings6 assignments
15 videos•Total 88 minutes
- Understanding Neural Networks•5 minutes
- Convolutional Neural Networks•6 minutes
- Recurrent Neural Networks•5 minutes
- Natural Language Processing•6 minutes
- Computer Vision•6 minutes
- Predictive Analysis•6 minutes
- Overview of Generative Models•5 minutes
- Generative Adversarial Networks•6 minutes
- AI in Creative Industries•6 minutes
- AI in Marketing & Communications •6 minutes
- AI in Human Resources•6 minutes
- AI in Manufacturing & Sales•6 minutes
- Data Requirements for AI•6 minutes
- Computational Costs of AI•6 minutes
- Model Interpretability•6 minutes
2 readings•Total 20 minutes
- Module 3 Overview•10 minutes
- Module 3 Readings•10 minutes
6 assignments•Total 150 minutes
- Module Quiz: Deep Learning and Generative AI•30 minutes
- Lesson Quiz: Fundamentals of Deep Learning•30 minutes
- Lesson Quiz: Applications of Deep Learning•30 minutes
- Lesson Quiz: Introduction to Generative AI•30 minutes
- Lesson Quiz: Business Applications of Generative AI•15 minutes
- Lesson Quiz: Challenges in Deep Learning•15 minutes
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.
What's included
17 videos4 readings6 assignments1 peer review1 plugin
17 videos•Total 97 minutes
- Narrow AI, AGI, and Super AI•6 minutes
- Testing for AGI•6 minutes
- Milestones and Potential Timelines for Achieving AGI•6 minutes
- Economic Impacts of Narrow AI, AGI, and Super AI•6 minutes
- Societal Challenges With Narrow AI, AGI, and Super AI•6 minutes
- Ethical Considerations of Narrow AI, AGI, and Super AI•6 minutes
- Application of Narrow AI, AGI, and Super AI on Front Office•7 minutes
- Application of Narrow AI, AGI, and Super AI on Factories •7 minutes
- Application of Narrow AI, AGI, and Super AI on Customer Interaction•7 minutes
- Policy and Governance With AGI and Super AI •6 minutes
- Impact of AGI and Super AI on Education and The Workforce•6 minutes
- Societal Impacts of AGI and Super AI•7 minutes
- Technological Singularity•6 minutes
- Philosophy About Consciousness•7 minutes
- AI Safety and Control Problems•7 minutes
- Course Wrap-Up•2 minutes
- Learn on Your Terms•1 minute
4 readings•Total 40 minutes
- Module 4 Information•10 minutes
- Module 4 Readings•10 minutes
- Congratulations on Completing the Course!•10 minutes
- Get Your Course Certificate•10 minutes
6 assignments•Total 180 minutes
- Module Quiz: The Future of AI and Artificial Generative Intelligence (AGI)•30 minutes
- Lesson Quiz: The Path to AGI•30 minutes
- Lesson Quiz: Implications of AGI•30 minutes
- Lesson Quiz: Business Applications of AGI•30 minutes
- Lesson Quiz: Preparing for an AI Future•30 minutes
- Lesson Quiz: Limitations and Philosophical Considerations•30 minutes
1 peer review•Total 60 minutes
- Peer-Review Assignment: Future of AI•60 minutes
1 plugin•Total 15 minutes
- How Was the Course?•15 minutes
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This course is part of the following degree program(s) offered by University of Illinois Urbana-Champaign. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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Reviewed on Aug 25, 2025
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.
Reviewed on Aug 10, 2025
Everything explained in the course is clean and simple for beginners
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