Artificial Intelligence Algorithms Models and Limitations
Investigate various AI algorithms and models while understanding their real-world limitations to better grasp the challenges
Investigate various AI algorithms and models while understanding their real-world limitations to better grasp the challenges
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Ethics in the Age of AI Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Understand basic AI algorithms
Explore predictive modeling concepts
Analyze ethical implications of AI
Identify AI system limitations
Evaluate real-world AI applications
Skills you'll gain
This course includes:
1.1 Hours PreRecorded video
12 assignments
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FullTime access
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There are 4 modules in this course
This course examines AI algorithms and their limitations in real-world applications. It covers fundamental concepts of machine learning, ethical considerations, and practical constraints of AI systems.
Getting Started with Algorithms
Module 1 · 2 Hours to complete
AI and Model Outcomes
Module 2 · 1 Hours to complete
Rules for AI: Training and Constraints
Module 3 · 1 Hours to complete
Ethical AI: Cause and Effect
Module 4 · 2 Hours to complete
Fee Structure
Instructor
Distinguished Technology Educator and Ethics in Computer Science Expert
Brent Summers serves as an instructor at LearnQuest, bringing expertise in software development and a unique focus on the intersection of technology and psychology. His teaching portfolio emphasizes ethical considerations in artificial intelligence and computer science. As a former education company founder, he brings entrepreneurial experience to his role as an educator. His courses focus on critical aspects of AI ethics, including algorithmic fairness, data privacy, and ethical implementation of artificial intelligence technologies. His teaching methodology combines technical expertise with psychological insights to help students understand both the technical and ethical implications of modern technology.
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Frequently asked questions
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